Friday, October 16, 2009

Fundamental Question for Massive, Sudden Transition to Online Teaching/Learning


Today, Oct 16 2pm EDT Home base Web Page     Login
Suppose you are a faculty member teaching an on-campus course that has already begun and suddenly find that you cannot meet with your students for the next 3 weeks. What can you do online that would be better than this "generic assignment"?

Generic Assignment
For the next 3 weeks, read, watch, reflect/do, and write a paper - based on the syllabus you have already received for this course.
  • Read: Specific selections of text - in books, other printed format, or available on the Web;
  • Watch: Videos or other media available on the Web or television;
  • Reflect/Do: Answer these questions or do these problems; 
  • Write: A paper or report on a topic covered by the readings & media. 
What 3 things could most faculty members learn easily and quickly so they and their students: 

1. Use online options that most experience as worthwhile improvements on the generic assignment described above?
2. Worry less about being embarrassed by their first efforts to teach/learn online under these conditions?

NOTE: These "3 things" would be helpful for almost any efforts to enable and encourage more faculty members to try teaching online for the first time. Even just trying one or two online additions to a course they already teach on campus.

Thursday, October 15, 2009

J. Support: Teach Faculty to Solve Problems

“It just struck me the other day...Life is adversity. That is the meaning of life. We crave adversity. We need to get into trouble and stay in trouble...Teachers who retire go back to teaching because they need to be in trouble again."  - Garrison Keillor, “News from Lake Wobegon,” Feb 25, 2008


On Monday, I summarized my former belief that TLT units should teach faculty two things about emerging TLT ideas and material:
  1. Teach them enough about a new technique or technology so that they can decide whether to learn how to use it ("why") and, for those interested,
  2. 'How' to use it.
And my post assumed that it would be specialized, paid staff who would teach both kinds of lessons.

Those two kinds of support, why and how, aren't enough, however. Nor does any university have enough staff to provide the teaching and help needed for continual improvements in teaching and learning (with technology) across the curriculum. Let's start with the missing links in the content of support; then we'll conclude with a fresh look at who should provide that support.

WHY, HOW, AND (?)

To improve educational results, it's usually necessary to help faculty and students make qualitative changes in what they have been doing. Putting 'old wine into new bottles' isn't enough. Unfortunately, when faculty use technology to alter course activities, they can easily be ambushed.

Consider difficulties such as these:
  • A faculty member begins teaching online. Some students begin to fall behind.
  • An instructor adds some challenging new online assignments as homework, with the intent of building on that experience in class; but more students than usual arrive admitting that they haven't done their homework.
  • Students begin discussing issues in a chat room. The conversation splinters. Two students get into a violent argument.
  • In response to an assignment, students create web sites. Some projects are good on the content, but badly organized. Others are well organized and easy to navigate, but the substance is shallow. How should the projects be graded?
  • Each student or small group is working on a different topic of their own choosing. Many choose to work on problems that are each outside the faculty member's comfort zone. The instructor doesn't have time to do the reading needed to become sufficiently expert in all of these areas.
  • The instructor's teaching takes an adventurous turn. However, some students object that 'this is not how this course is supposed to be taught,' and complain to the dean. Student ratings of the course take a dive, and the faculty member's tenure case is coming up soon.
Many faculty resist a new TLT approach because they sense that it could lead to unexpected problems, and most professors and instructors know they're being offered no preparation for coping with those TLT dilemmas.

Here are a couple suggestions to help faculty deal with such problems:
  1. Organize faculty seminars to discuss case studies that each describe one such problem. Cases might be just a paragraph or two, briefly describing a problem, or a bit more elaborate (video clip; artifacts such as transcripts of online discussions). For each case, participating faculty discuss their own experiences: how they interpreted their version of that situation, how they responded, and what happened next. Usually most participants are surprised at how many different ways there are to interpret such a situation, and how many options there are to respond.
  2. After a little practice with such disguised case studies, it's easier to do what Steve Gilbert calls a 'clinic.' One of the participating faculty members describes a problem that he or she has seen personally, perhaps something that's troubling them now. Then the other participants share their own experiences with similar problems, and their suggestions for how to respond now.
Technology's role in academic improvement is analogous to the role of yeast in baking a cake. The staff in TLT support units need to be cake specialists, not just yeast specialists: they need extensive personal experience in using various technologies, old and new, for teaching and learning. But I don't know of any institution that has remotely enough staff to serve their faculty. That's especially true for programs that want to engage most or all of their faculty in improving teaching and learning (with technology).

FACULTY MUST SUPPORT ONE ANOTHER

If a program or institutions to improve teaching and learning on the large scale that technology enthusiasts hope to see, much of the help needs to come from the faculty themselves. That's true even if the TLT improvements are usually low risk, low cost, increments. The professional TLT staff's role should be to support, organize and sustain those faculty-to-faculty efforts. The only way for such mass engagement to happen is if faculty want it, and if their departments and the institution recognize and reward faculty who help their colleagues. [The focus of this post is how faculty can help one another. But that faculty effort can also be complemented with support from trained student technology assistants.]

Not all faculty need do the same things to help their colleagues. The scholarship of teaching and learning provides one set of possibilities. The teaching case study seminars above are another; the cases should be created and published by faculty (the clinic discussions should help identify candidates) and the seminars should be led by faculty. Similarly, 'scrounging' for TLT ideas and materials needs to be done mainly by faculty. And to develop the constellation of support workshops described earlier requires faculty participation as well.

I'm curious. Does your institution's support service for faculty go beyond the 'why' and the 'how?' Does your program encourage faculty to help each other? Can such faculty engagement be scaled up enough so that, over the years, a large proportion of the faculty can comfortably, cumulatively improve their courses?

Monday, October 12, 2009

Improving Teaching and Learning with Technology-Conflicting(?) Schools of Thought

Interesting post by Phil Long (University of Queensland, TLT Group Senior Consultant, and formerly Senior Strategist at MIT) about how to think about improving teaching and learning (with technology).

I think Phil, Steve Gilbert, and I each have slightly different views about how to proactively improve teaching and learning with technology (TLT) in an academic program. Dramatizing our disagreement will, I hope, be an aid to deepening and widening the conversation. Here's my summary of what each of the three of us currently think:
  1. Wait until external conditions are really demanding (a near crisis, perhaps). Then marshall your forces and push for a big change that responds to that crisis. A big change might be, for example, a combination of a curricular redesign, a fresh approach to teaching and learning, and the facilities to support both of them.
    If there is no external pressure, try rallying staff effort and resources around an inspiring vision of the future. Use that enthusiasm to create change that will last. Change will come faster when change agents can take advantage of a crisis, however. An evolutionary metaphor is suggested by Phil and by a comment by Trent Batson about Phil's post. I think that's misleading, however. Evolution is a 'mindless' metaphor to apply to programs, but Phil (and I) each tend to think in terms of faculty and staff who are trying to change the larger institution or program of which they are a part. (Phil Long, as translated by SteveE)
  2. In contrast, Steve Gilbert has been working to promoteevolution in small steps, an inductive approach to improvement that emerges from relatively independent actions taken by each faculty member. SteveG suggests that staff help each faculty member find or invent small steps that make sense to that individual faculty member. Then help them use feedback to guide what they're doing. Finally, help them each to share their ideas and materials with a few more colleagues who can quickly adapt them with little or no risk or expense.
    SteveG rarely talks about helping faculty to change in any particular direction. I think he's wary of the lure of Big Changes. Remember what Newton said: Every action causes an equal and opposite reaction. Big pushes create big pushback. The small approach is sneakier, producing change that is too invisible, and too grounded in faculty freedom, for anyone to oppose. (Steve Gilbert, as translated by SteveE)
  3. Here's my perspective: identify small steps being made by faculty (here SteveG and I agree). Then try to spot a subset of those changes that could be the beginning of something big and important for the programs' students, faculty and other stakeholders. Then start consciously supporting progress in that direction through small steps and, where warranted, big steps. When identifying directions for improvement, pay special attention to outside pressures and rewards:e.g., falling enrollments and the potential to increase enrollment; trends in thinking in the discipline. (SteveE)
Do you buy any of these strategies? Have a fourth to suggest? or perhaps you think the whole idea of a proactive strategy to improve teaching and learning is futile?

10. TLT support: Why and How

You can't understand teaching if you ignore learning. And you can't understand either unless you pay attention to the facilities, resources, and tools used to accomplish them: classrooms and computers, libraries and the web, and other such 'technologies.' At one time staff could ignore classrooms, textbooks, and other traditional technologies because the choices were few, and universally familiar. That's no longer true. Especially in the last decade, the options have multiplied. Because these technology options are not equally good, equally easy, or equally inexpensive, the choice of technologies requires conscious attention, just as teaching and learning themselves do.

That close relationship of teaching, learning, and their technologies
is one reason why it's important for institutions to have units that
function as TLT Centers, real or virtual.
A virtual TLT Center is a constellation of two or more units such as faculty development, technology support, the library, the facilities program that supports classrooms, distance learning, and departmental TLT experts -- units that work so closely together that they act like a single service provider. For example, their staffs continually learn about each other's resources and from one another's experiences; that way each staff member can draw on all the capabilities of the virtual center.
These things I do believe.

But some of my beliefs have changed. I once believed that, when helping faculty, TLT staff needed to focus on (just) two things:
  1. WHY: Teach enough about a new technology and its teaching/learning uses so that instructors would want to learn more, and, for those who are persuaded,
  2. HOW to teach in those ways.
Is that a good summary of the kinds of help that TLT staff provide faculty at your institution? Or is there something additional that faculty are taught about emerging TLT topics? Please post your observation by clicking 'comments' below.

My second old belief was that support for faculty should be provided directly and entirely by experts in TLT support. At your institution are there people in addition to TLT staff who provide such support?

My third old belief is that this training should be entirely interdisciplinary: faculty are specialized by discipline but TLT staff are not. So this faculty support service should be 'one size fits all departments.' Is that true at your institution?

PS Anyone who knows the work of "the Steves" knows how many of the thoughts in this series come wholly or partly from Steve Gilbert. Our thinking has been so intertwined over so many years that it's not even possible to point out which of the observations in this series originated from him and which from me.

PPS You probably know that this post is part of a series called 'Ten Things I (no longer) Believe about Transforming Teaching and Learning with Technology.' If you like these posts, please spread the word. Perhaps you can use these ideas to help with a more intentional approach to TLT planning.

And join us online for a free, live discussion of these issues on Friday, October 23, at 2 PM ET. It's part of our FridayLive series. If you don't already have a FastPass, click here to register. Thanks!

Wednesday, October 07, 2009

I. Programs make faster, better educational progress when they're world class scroungers

Earlier this week I described my mistaken belief that one should pay most attention to the newest ideas, especially if you can create your own idea or phrase, or at least your own wrinkle, and then claim the credit for being first.

The folly of that belief was pounded home for me in 1996. That was the year that Arthur Chickering suggested that we write an article on how to use technology to implement the 'seven principles of good practice in undergraduate education.' He and Zelda Gamson had summarized these seven lessons from educational research a decade earlier.

I replied that such an article was unnecessary. “Everyone knows how to do this already,' I told him. 'According to your seven principles, when students cooperate, educational outcomes usually improve. Anyone can see that using email can provide new avenues for students to cooperate. And the kinds of complex, real world projects made possible by computing often compel students to work in teams. Who needs an article to tell them that? It's old news.” Chickering persisted. So we wrote the article, got it published in a little newsletter, and soon put it on the web. Very quickly, 100 people per month were visiting our article. Then 200, and 400. A decade later, over 5,000 people per month were taking a look at it . Not bad for an article about ideas so obvious that I'd thought an article totally unnecessary.

Crucial question: How do you spread ideas and skills from the 5% of faculty for whom they're old news to those who would also respond, “That's wonderful!” if they ever heard about the idea or tried the skill? These blog posts are about using technologies in a way that can improve what's learned, who learns, and how they learn. To achieve that kind of change, engaging large numbers of mainstream faculty can be important. Each of them may not need to change what they're doing very much, but they each would probably need to change a little. Suppose it's a change they'd like if they ever heard about it; how can we help them notice the possibility in time?

Steve Gilbert, Flora McMartin and I did a major research study for MIT and Microsoft several years ago. Microsoft had made a multi-year, $25 million grant to MIT, and chunks of that money were being awarded to MIT faculty to do pioneering projects involving educational uses of technology. Our research: discover factors that influenced whether the best of these innovations were ever used by faculty other than their original developers.

One story from this MIT/Microsoft study suggests an important lesson for any program that wants to accelerate the pace of improving teaching and learning with technology.

Pete Donaldson is a Shakespeare scholar at MIT. For years before the Microsoft grant became available to MIT faculty, Pete had been experimenting with ways for his students to use film clips (without violating copyright) in their papers and online discussions. He'd had some success, enough to give workshops on the topic and to be a keynoter at the Shakespeare Association of America, where he gave a spectacular demonstration. His use of video clips, however, relied on an assembly of expensive equipment. Then he received a grant from the MIT/Microsoft iCampus program. The support enabled programmers to work with him, and to figure out a much more inexpensive strategy. The resulting software was called the Cross Media Annotation System (XMAS). Pete used the SHAKSPER, a popular listserv in the Shakespeare community and a mailing list of people who had attended his prior workshops to ask if anyone would like to use this free service in order to incorporate film clips into their Shakespeare courses. Quite a few did, especially because they knew and trusted Pete. One comment we heard from several adaptors: Pete wasn't threatening because he wasn't a techie, himself. He was like them. So if he could use XMAS, so could they.

The story is not all success. XMAS ought to be a great tool for film courses taught by film scholars, even more than for Shakespeare courses taught by English professors.

But Pete Donaldson is not a member of that community of film scholars, doesn't go to their conferences, doesn't know their listservs, and doesn't write in their journals. Nor do the other English faculty he has helped.

At some point, XMAS and Donaldson's techniques for using it may be adapted by a film scholar who, like Pete, uses the idea for teaching and for research and who, like Pete, has a yen to help his or her colleagues. And then the use of XMAS may begin spreading like a virus in that community.

Let's pull these threads together.

In the real world, instructors rarely have much time to uncover new ideas. Nor can they can take many risks (e.g., fear of embarrassment, wasted time when they're already over-committed, risk to a tenure case). That's one reason why new ideas about teaching and learning tend to spread so slowly. However, it can help to hear about such ideas from peers with a reputation for this kind of improvement (especially from peers who teach similar courses to similar students, even at other institutions).

Therefore, I suggest that any institution that wants to make unusual progress in TLT ought to help create and sustain faculty learning communities whose members often (a) teach similar courses, and (b) come from different institutions. If those similar courses have similar students, and the faculty have similar styles, so much the better. That way, if one faculty member has an idea, or uses a technology, or has a puzzling experience, it should be relatively easy for others to emulate. And, by including faculty from other institutions, you and your colleagues will hear about new low threshold steps much more quickly.

You can't search everywhere for everything. That's another reason why it's so important to set one or two focused priorities. Those priorities should help faculty and staff focus their searches for ideas. Become a world class scrounger and borrower of appropriate teaching ideas and materials from around the world! Ironically, that's also a great way for faculty members and their program to get a reputation as world class innovators.

PS. If you don't have much money, search for great ideas in countries where money has been scarce for some time.

Monday, October 05, 2009

Group Nanovation = Open House?

From Steve Gilbert
Extending impact beyond the event.
An "Open House" can extend faculty sharing beyond the location and schedule of the event itself.  What could be done DURING and AFTER the event to enable and encourage MORE faculty members to take advantage of the options offered in that event to improve teaching and learning with technology?  To try some of those improvements more than once?  To collect feedback about their own attempts?  To help some colleagues do the same?
Dave MacInnes (Guilford College) described several key factors during our online discussion of successful Nanovation last Friday (10/2/2009).  For a few other lessons we learned (obstacles, ideas, strategies), digital archive, text chat transcript, etc., from that session, click here .  And watch for future Frugal Innovation sessions.   WHAT OTHER WAYS COULD HELP EXTEND THE REACH OF AN "OPEN HOUSE"? 

Dave's recommendations for a Fluidly Structured Event with Carefully Selected Faculty Presenters.
  • Schedule:  1-2 hours?  No absolute starting or ending time for participants - can enter or leave whenever they wish, stay as long or briefly as they wish - low risk of being "trapped" and wasting time!  Offer enough variety to engage most participants for 20-40 minutes if they wish to stay that long.
  • "Presenters":  Feature faculty members who are already recognized for strong personal interests in relevant topics, issues, etc..  Identify and invite 6-8 faculty members to be presenter/mentors DURING the event.  Faculty members who are likely to be respected by colleagues and who are likely to be willing and able to respond to colleagues' subsequent requests for help with similar tasks AFTER the event.  
  • Mixture of major and minor presentations:  Include some presenters/presentations about
    A.  "big" topics - activities or skills that take some substantial effort, time and obviously result in substantial changes in teaching/learning;  and
    B.  "small" topics - LTAs, potential Nanovations - that can be introduced or "gotten" in a few minutes
  • Like Poster Sessions:  Encourage some presenters to prepare as if they were offering a poster session at an academic conference.  Prepare some visual display and/or handouts to enable passers-by to make quick decision, quickly get enough to permit follow-up activities;  prepare to introduce the main ideas, resources in a few minutes (<5).  [This item added after the online session by Steve Gilbert]
  • Advertise: Use email to advertise to whole faculty - emphasize flexible timing
  • Location:  Multiple rooms - further reduces fear of getting stuck in a session;  emphasizes idea of multiple options available to meet varied needs, interests
  • Repetition:  At least once per year.   Build expectations and reputation of providing useful info without wasting time of presenters or participants.

9. We are unique. Avoid 'not invented here.' (NOT)

Monday posts in this series describe things I no longer believe, things that relate to making major improvements in teaching and learning by taking advantage of technology. Here's a big one.

"Our program is unique. And, so far as we know, no one else is yet doing what we propose to do." So far as I know, I am the inventor of that phrase. I coined it in 1977, while writing a grant proposal. Our proposal emphasized our college's uniqueness in higher education, and the uniqueness of our proposed project.

I was especially proud of that phrase, 'so far as we know:' It was a truthful way of halfway admitting that my 'literature search' had not been very thorough. Today, I still remember that I was worried that, if I were to search more energetically, I might discover that someone else had already used the educational idea that we were proposing. And if someone else were already doing it, we'd have to abandon my grant proposal, right? What funder would be interested in supporting the second institution to try a not-absolutely-new idea?

That was part of a cluster of related beliefs that I held:
  1. My institution is unique (or at least highly unusual.)
  2. The newest idea is the most important idea. Even if it's not truly new, pretend it is. In higher education, we get energy from changing what we do from time to time, even if we change from A to B and, after memories have faded and new people have joined the staff, back to A again.
  3. To get a grant, it's important to be first (at least the first of any program like yours, of which there are almost none). Here's more on the goal of being first with a new technology, another belief that I now think is deceptive.
  4. Don't do anything that was not invented here; we're unique so it won't work here (or, by admitting it came from elsewhere, we lose the chance to say we invented this version ourselves).
  5. A technology correlate: when a new technology or teaching technique appears, investigate it by spending time and money to pilot test it locally. What you can learn from a single local pilot test is far more valuable and relevant than what you could learn by spending time and money to discover what 50 people learned by testing it at other institutions.
Do these propositions make sense to you? Why or why not? (Click “COMMENT” below to leave a post.) Later this week I'll discuss what I'd suggest now, instead, about 'not invented here' and its implications for a counter-intuitive approach to course improvement. This post will also build on last week's post recommending the Treblig Cycle.

Saturday, October 03, 2009

H. Faculty support for programmatic improvement: The Treblig Cycle

This "Ten Things" series of posts is discussing some counter-intuitive ideas about how technology can enable major, long term improvement in academic programs: improvements in what is learned, who learns, and how they learn.

Such deep programmatic improvements are more likely to develop when most faculty feel that a change is important enough to warrant patient, persistent effort over a period of years. In these days, when money is tight and competition ferocious for many academic programs, an unusual number of faculty may feel this way.

What kind of faculty support could help such sweeping programmatic improvements develop?

The most problematic requirement for such faculty support is scale: the need to involve most faculty in this academic program. If the program's leaders hope to improve what's learned, who learns, and how they learn, they need to help most faculty develop some new skills, tools, and materials.

My colleague, Steve Gilbert, has been developing the concept of 'frugal innovations,' innovations that can work, and spread, when time and money are scarce. He recommends a cycle of individual improvement and peer-to-peer sharing of those experiences and mateirals. He has called this process 'nanovation.' Lewis Hyde would call it a 'circle of gifts.' I call it the Treblig Cycle (pronounced treb'lig). If you're curious why I suggest that name, read this article'.

As I interpret what Steve has been saying, the Treblig Cycle consists five steps:
  1. A faculty member learns about (or invents, or reinvents) an improvement for teaching and learning with technology. The materials or tools needed should be freely available or nearly free to this faculty member and his/her colleagues. To make this cycle work, the improvement should also be low risk, obviously rewarding, possibly time-saving, and easy to learn. Steve has called such tools and materials “Low Threshold Applications” and such improvement ideas “Low Threshold Activities.” We usually refer to both as “LTAs”. "Low threshold" is a relative term, not an absolute. Something which is low threshold for some people in their institutional context may be expensive, high risk, or too hard to learn for other faculty in a different institutional context. For the Treblig cycle to work, however, the improvement must be low threshold for most people who learn about it. And, for the Treblig Cycle to help the strategic change of interest, this particular LTA should be an incremental step in that direction. If the faculty are trying to slowly and, eventually, dramatically improve the creative skills of their graduates, for example, then this LTA should help advance that effort just a little bit: a tiny step in the right direction. The fact that many faculty agree that this programmatic change is important - that's one of the things that attracts their attention to this LTA.
  2. The instructor tries the improvement, and finds it rewarding. (If it weren't rewarding for him or her, the process would stop here.)
  3. He or she tries the idea again, gathering feedback to guide the activity and/or to describe its outcomes;
  4. In the process of trying the idea, he or she may also tweak, personalize or otherwise improve it;
  5. He or she helps at least two colleagues inside or outside the institution to begin this same cycle; in other words, these colleagues are now at step 1 of the Treblig Cycle. If each of them in turn gets two or more colleagues to enter the cycle, the low threshold improvement will spread in an accelerating way.
The Treblig Cycle is more likely to work if the environment rewards (a) faculty sharing information with colleagues inside and outside of the institution, (b) improvements that aid the chosen programmatic goal.

Obviously, many improvements can't be spread by the Therblig Cycle. Some improvements don't meet a widely felt need so they won't be rewarding enough to excite their users to share them. Other improvements aren't low threshold for most people.

So, if your academic program is developing a strategic academic/technology plan for the next 5-10 years, or considering which of several strategic options to choose, ask whether each proposed strategic change could be implemented with the help of the Treblig Cycle.

Relying on the Treblig Cycle does not eliminate the need for faculty support units. Quite the contrary. Faculty support units can use the Treblig Cycle as a tool for supporting faculty. For example, the faculty support unit could search for relevant LTAs, could create materials describing the LTAs, and find more ways to encourage faculty to share such ideas. (We'll return to some of these themes in coming weeks.)

To summarize: crucial elements for applying the Treblig cycle to transformative uses of technology are (a) agreeing on a direction for change that reflect widely felt needs among the faculty, (b) collecting Low Threshold Applications and Activities that many faculty would find rewarding, and (c) encouraging the sharing of such ideas and movement in those directions.

Your comments? Can you imagine an academic program or institution using the Treblig Cycle to support a 5-10 effort to transform itself, eg., internationalizing its curriculum? Developing a world class reputation for the design skills of its graduates? Does the Treblig Cycle suggest a reasonable route to a slow revolution?

Thursday, October 01, 2009

Ever Nanovated?

From Steve Gilbert
Have you ever nanovated?    
  • Tried an improvement in teaching/learning with technology - more than once?
        [Alternative:  Tried an improvement once and never again?]  
  • Gotten some feedback about that improvement and changed it?
        [Alternative:  Didn't get any feedback or ignored feedback?]
  • Helped at least two colleagues make similar improvements - in ways that made it likely they would try it more than once, collect feedback, help at least two more colleagues... etc.?
        [Alternative:  Didn't help anyone?  Helped some colleagues but they didn't help others?]
Help!  Survey!  
Please respond to our brief online survey about nanovation. 
Your responses will help us prepare for online discussions of examples and factors that support or hinder nanovations.  

Join the first, probably most exploratory, of these online discussions tomorrow: 
Note:  Do you have other ways of describing or confirming a successful dissemination and use of an improvement in teaching and learning with technology?  What other ways have you used for identifying successful dissemination and use of improvements in teaching and learning with technology?  

Wednesday, September 30, 2009

Frugal Innovation

Frugal Innovation:  How to continue to improve teaching and learning with technology when money and time are scarce - especially by taking advantage of abundant low-threshold resources.
TLT Group's Frugal Innovation Initiative:  Discuss, develop and share Frugal Innovation resources, practices, policies, and ideas for colleges, universities and individuals within them.  Encourage and enable participants to help colleagues use, improve, and share further  (see: Faculty Sharing Further) some of the participants' own favorite under-utilized low-threshold resources.  


Above are excerpts from:  Frugal Innovation Glossary   tlt.gs/GlossaryFI

Monday, September 28, 2009

8. Support strategy: Help a few faculty; teach one new technology after another

The topic of this series of blog posts is how to use technology in ways that, over time, result in substantial improvements in teaching and learning. When I say "substantial," I am pointing to hopes that many have had for educational evolution, perhaps even revolution, triggered by the use of technology. Each Monday I describe something I once believed about how to make such major, long term improvements, a belief I question today. Last Monday, we discussed the content of faculty support offerings (services focused either on technology OR on teaching/learning).

Today, I'd like to hear your observations on scale of faculty support: size of the change in teaching practice by faculty, number of faculty helped, time scale (frequency of change of topics for support), and total budget for support.

Traditionally small support budgets for faculty have divided among two or more units (one in the technology unit, perhaps someone in distance learning, staff in the library, staff in the teaching center, staff in colleges or departments).

Historically, many of these units would respond to technical changes as quickly as possible ("Which technologies are the subject of the most buzz this year?"). Then the unit would offer faculty workshops during the term and during the summer to help faculty learn to use that new technology. To attend such a session, faculty would need to set aside more than hour (sometimes much more) and go to a different building. Limited interest, that time requirement, and size of computer labs would combine to limit attendance: a few faculty at a time. Help desk operations would assist one faculty member at a time.

Costs: Because only a few faculty members could be helped at once, because each person was being helped to master a major technology, and because the topics of support might change rapidly (with expenses to develop each new support unit), the cost for each faculty member receiving support (including the faculty member's own time to attend and to master that new technology) was probably substantial (though it was rare to see estimates of such total costs).

Outcomes: Even after backbreaking effort by each tiny support unit, it's possible that only a few faculty could describe how they had improved teaching and learning in their courses by using that support. And I'd guess that no academic department could describe any cumulative improvement in teaching and learning made in one their degree programs over the years with aid from a technology support unit.

Is this a good description of what used to happen, or what still happens? What have you seen? (Depending on which URL you used to see this post, you can post your observations either by clicking on the phrase "Post a Comment" below or else by clicking the word "COMMENTS" to the right of my name below.)

Wednesday, September 23, 2009

G. To engage most faculty, support must meet many needs

How should an institution help faculty improve teaching and learning (with technology)? I'll respond to that question in different ways over the next three weeks. Here's my first set of suggestions for faculty support (e.g., teaching centers, information technology units, library staff, distance learning staff, ...).

At most institutions, support programs only influence a small fraction of the courses each year. And support staffs are usually so small and under-budgeted that they're often kept pretty busy serving just the small fraction of faculty who actively pursue their services.

But if you're looking for a reason why we haven't seen major improvements in teaching and learning (with technology) at most institutions over the last thirty years, this is certainly one of them. Faculty aren't getting the help they need. Or, from the point of view of the helper, we might say instead, "Not enough faculty are asking for the help we think they need."

Under what circumstances does an institution need to engage large numbers of faculty in some teaching and learning improvement (using technology)?
  1. When a major is being transformed (e.g., to offer a degree program at a distance, or reshape a degree program as MIT did when it created the CDIO program) many faculty need to be engaged in order to offer a full constellation of courses, provide advising, etc.
  2. As that Reed senior said about learning how to rethink his reasoning and writing, 'I don’t think I could have learned that from just one course. But, over the years, it gradually sank in.' If one's goal is to improve what the average graduate is able to do, or think, or feel, make many small changes across many courses. That requires the participation of lots of faculty.
  3. (Technology-supported) innovations are sometimes resisted by students who say, "No one else is asking me to do this but you." For innovative faculty, there's safety in numbers.
  4. Get enough faculty engaged in an improvement big enough, visible enough, and last enough to gain an advantage in the competition for new students, new faculty, donor support, grants, and other resources that the program needs to function, as we discussed in an earlier post. That's why a degree program or an institution might decide that it's a priority to work for 5-10 years to internationalize the curriculum, to develop a national reputation for the design skills of its graduates, or to become widely known for the work of its faculty and students in responding to climate change. Those are just three examples of technology-supported improvements in teaching and learning.
  5. Accreditors might have targeted this area as a deficiency that needs to be remedied over the coming years.
  6. Sometimes a new foundational technology is introduced which works better and better as more students and staff use it, e.g., email, sharing of documents and social networking.
In any of these circumstances, faculty support units will need to ask themselves, "How can we engage large numbers of faculty to work in this chosen direction?" One key is to recognize that different faculty members want different things. For example,
  • Headline some of your offerings with the issue itself as your headline (e.g., adapting curricula to respond to climate change.') If you've chosen the right issue, that should attract a significant number of faculty. But probably not enough. How can you attract more faculty to learn about and work on your issue?
  • Some faculty love fooling around with new technology. So, if the goal is important, some support offerings for your issue should be headlined, "Play with this new technology" (even if the priority only uses that technology as one ingredient in a larger strategy).
  • Some faculty are focused on their own teaching (i.e., lecturing, writing). Can they advance your priority by developing that skill? If so, headline your offering with the skill, and use your issue as the example. (Here, as in the other bullets, we're talking about a fraction of your total offerings relevant to the chosen priority.)
  • Some faculty member see it as important to understand their students so that they can help each student excel. If your priority can help with that, headline some offerings with that need (e.g. learner-centered teaching). (What's marvelous about many educational uses of technology is how many of these headlines can be used with integrity. To internationalize the curriculum effectively, for example, all these kinds of changes are enabled.)
  • Some faculty want to survive. Can something about your priority save them time? help make their teaching less like pushing a boulder up a mountain? If so, make that the headline some of the time.
To repeat: don't make promises you can't keep. If you headline a workshop with 'time-saver for faculty,' it had better both advance your priority and also save participants some time. Support for a high priority issue should also be offered in a variety of modes, each designed to engage a different subset of the faculty, e.g.,
  • summer workshops;
  • online tutorials;
  • brown bags;
  • 5-10 minute sessions led by faculty as agenda items in departmental faculty meetings.
  • enlisting one or more faculty in each relevant department to play a more active role, e.g., studying what other institutions are doing in this arena and then sharing their findings with relevant colleagues in their department.

To sum up, it's important that faculty and support staff work together to set a few priorities for improvement. For those priorities which require engagement of large numbers of faculty, staff should offer support in several modes (e.g., workshops, one-on-one consulting, peer-to-peer strategies) and frames (e.g., new technology, educational priorities, saving faculty time).

It may seem counter-intuitive to suggest priority setting in a culture that values academic freedom. And I certainly wouldn't rely on this strategy alone. But such a widely-embraced priority has the power to mobilize the resources needed over many years to power major, cumulative improvements in education.

Monday, September 21, 2009

7. What I once believed: Train faculty how to operate the technology

This is what faculty support offerings look like at many institutions:
  • The IT department offerings are about “How to use (operate) our course management system,” and “How to Use Photoshop.”
  • The faculty development program's offerings are about “Using collaborative learning in the classroom,” and “What to do on the first day of class.”
In other words, there is a sharp division of labor. Most IT units help faculty mainly with “how to” use the technology, while many teaching units mostly help faculty with “how to” teach (they ignore the technology, which is the business of the IT department).

This isn't an arrangement I ever recommended. But I didn't initially question it, either; it seemed the natural way to do things. I did notice that at most institutions the attendance was low at the workshops. Nor was there much sign that average faculty members used other forms of service (e.g., web sites, phone-in for help) unless they had to (for example, when using the course management system was required).

Does your institution divide support this way? Are support services mainly about “how to?” Please use the “COMMENT” button below, just to the right of my name, to add your observations about how your institution handles these tasks.

(As you may know, this blog post is part of a series, “Ten Things I (no longer) Believe about Transforming Teaching and Learning with Technology”. To see a summary of the whole series, where this entry fits, and links to all the completed posts, see http://bit.ly/ten-things-table.

Causes of Myths & Misconceptions re Learning

More precisely:  Contributing causes of myths and misconceptions about the application of research findings 
from neurobiology, cognitive science, and related fields 
to human learning in educational institutions.
<From Steve Gilbert Sept 21, 2009>


  • Courses taught in schools, colleges, and universities are more varied and complex than most situations conducive to effective research in the cognitive, neuro, and related sciences.
  • Conditions essential to the research are difficult to match with conditions in courses.  
  • Conditions essential to the research are difficult to isolate and control in courses.
  • Exogenous  factors in courses - factors safe to ignore when applying research results - are difficult to identify and more difficult for educators to agree upon. 







The challenge:  Glean what we can from the scientific research and develop practical applications.  
Interpret and adapt the findings carefully - not too broadly, not too quickly.  Develop, test, and improve practical guidelines and resources.

 
REF:  "Various 'neuromyths' exist in schools. According to a survey of advice literature by the Transfer Centre for Neurobiology and Learning (ZNL) in Ulm, Germany, the topic of the brain is popular among teachers. 'Unfortunately, many of the ideas that have made it into the classroom fall under the heading of pseudoscience,' says Paul Howard-Jones of the University of Bristol, UK. 
Here are five of the most popular:..."  
Above excerpted from "[Learning] Myths and Misconceptions," Craig E Nelson, posting to POD List Sun, 20 Sep 2009 21:27:09 -0400
Professional & Organization Development Network in Higher Education



Friday, September 18, 2009

"Connectedness" - Recommended Reading

"What is connectedness? It is a sense of being a part of something larger than oneself. It is a sense of belonging, or a sense of accompaniment. It is that feeling in your bones that you are not alone. It is a sense that no matter how scary things may become, there is a hand for you in the dark. While ambition drives us to achieve, connectedness is my word for the force that urges us to ally, to affiliate, to enter into mutual relationships, to take strength and to grow through cooperative behavior."  Excerpt from Ned Hallowell's essay "Connectedness" - see citation below.

That's what first came to mind when I read a request for recommended readings to be offered in Centers for improving Teaching/Learning.

I did a quick Internet search and found the full text of Hallowell's essay, along with some other comments and quotations, in the last posting of 1995 that I wrote for the AAHESGIT Listserv
Here are some excerpts from my own comments:

"Education can provide the excuse and the means for transforming society...for better or worse; and
Information technology can provide the excuse and the means for transforming education...for better or worse.

"As enthusiasm and opportunities increase for using information technology to change the core processes of education -- teaching and learning -- more people are afraid of losing important elements, of having cherished values dismissed.
Those of us committed to using information technology to improve education need to be sure that we are advancing fundamental human values and a better quality of life -- and not only for a few of our closest friends.

Sadly, we are still
"...unraveling the fabric of trust, loyalty, and connectedness that holds us together as a nation, as communities, and as organizations.
"...pushing more people out of economic security, out of having a fixed "place" in society. ... rushing to reduce support services and subsidized essential resources for all those least able to provide them for themselves.

Too many seem to be ignoring the:

* cumulative value of long-term mutual commitment to common goals;

* pain of those unable to earn livable wages and secure minimally livable levels of healthcare, education, food and housing;

* increasing difficulty of sustaining viable communities;

* growing gulf between those who can amass wealth and those who cannot.


Includes "Connectedness" by Edward Hallowell - last chapter in the book:
Finding the Heart of the Child: Essays on Children, Families, and Schools by Edward M. Hallowell, M.D. and Michael G. Thompson, Ph.D.
Published by National Association of Independent Schools (December 1997) ISBN-10: 0934338922 ISBN-13: 978-0934338929
This chapter reproduction and distribution via AAHESGIT on the Internet was authorized by Richard Barbieri, Executive Director, Association of Independent Schools in New England.

Wednesday, September 16, 2009

F. Organizing to Improve Teaching and Learning with Technology: Collaborative Change

How do we organize the process of improving teaching and learning (with technology)?

At most institutions, the context is a sharp division of labor. The most important divisions:
  • Individual faculty exercise relatively personal, private control over the content and methods of each course. (In most departments, this individual ownership of individual courses is far more meaningful than any collective faculty responsibility for the degree program.)
  • Various facilities, resources and services are controlled by various staff units (e.g., classrooms, course management systems, libraries, study areas and their equipment) and by outside organizations (e.g., Internet sites, Google tools, textbooks, ...)
The implication: each can handle those responsibilities relatively independently of the others. Presumably, the sum of their efforts will yield sufficient return on the institution's investment in expensive technologies such as course management systems, classrooms, and libraries. Many of us had hoped for much more: computing would revolutionize how students learn, what they learn, and who can learn. Perhaps the cost structure of education would be transformed, too. Or maybe not. That division of responsibility has been a major roadblock. Of course, we occasionally overcome that division. I have already talked about how a variety of independent choices by faculty led to a coherent pattern of change in learning activities and outcomes at Reed College in the 1980s. Here's an example of an unusual degree of collaboration. Perhaps it's not a coincidence that this story unfolds at an entrepreneurial research university where team research is the norm. A few years ago, my old undergraduate department, the MIT Department of Aeronautical and Astronautical Engineering, decided that major curricular change was needed. Faculty started by asking what skills their graduating students would need. To develop those skills, faculty decided, students would need plenty of practice in four activities:
  1. the conceptual work of design,
  2. converting those ideas into plans for something that could be built,
  3. actually constructing the engineered work, and
  4. testing the product.
Faculty called this four step cycle “Conceive – Develop – Implement – Operate (CDIO)”. And they realized that most of CDIO needed to occur outside classrooms, 24 x 7. Conceiving such a reform is one thing. To actually develop, implement and operate such an innovative academic program would require collaboration involving many faculty in the department along with many individuals and groups outside the department. For example, faculty realized that their building (which was due for renovation) was unsuitable for this kind of 24x7 approach. When the institution's architects balked at planning such a facility, the department responded that it would raise its own money and hire its own architects. (One advantage to having a faculty with a track record of raising large sums of money and well-to-do alumni– it changes the internal balance of power!) 'Support staff' and faculty from other departments and offices then teamed to develop these plans, e.g., figuring out how, in order to work on their projects, engineering undergraduates could use keyless access to enter otherwise-locked rooms in the building at any hour of the day or night. That MIT success story is the product of a coalition of effort, complementing a division of responsibility. How are things going at your institution? Who takes responsibility for improving teaching and learning with technology? Do those folks have the respect and budget to carry out that responsibility? For example, how does (or might) your institution deal with questions such as these:
  1. Should your institution switch to Google Mail? What are the educational, budget, and policy implications of relying on such an external service?
  2. The monograph and article no longer have a monopoly on academic expression. More work in the disciplines is being developed and shared through web sites, video, email, and multimedia. In each department, what media do your advanced students need to use to do their projects and communicate professionally? To prepare for that, what kinds of multimedia skills should your entering students learn in the first year ? Who should help them acquire those skills in the first year? How do you assess those skills?
  3. What issues of policy and practice are emerging as a result of ePortfolio use at our institution? Should projects and the portfolios themselves should become part of the student's formal academic record? How long should they be saved? Who has the right to change those records?
  4. Much of what faculty do to improve their teaching is the result of informal learning. How can such learning be improved and extended? What roles might other staff (e.g. librarians) play in helping faculty learn about teaching and learning with technology in their disciplines at other institutions?



“It takes a village.” Steve Gilbert and I have been supporting collaborative change for fifteen years. Here are just two of the ideas and resources we've developed at The TLT Group:
  1. Your institution has what we would call a Teaching, Learning, and Technology Roundtable if you have a council or conclave that meets regularly, advises the chief academic officer on issues of policy relating to teaching and learning with technology, and convenes many kinds of stakeholders. To assure that the Roundtable balances a variety of points of view, it's important to include faculty (tenure track and adjunct) who represent a variety of degrees and types of technology use, for example. TLTRs have advised on budgets and tricky policy questions. They can help faculty and support staff to understand one another's perspectives. And they can accelerate the sharing of information between junior faculty and senior technology administrators, senior librarians and junior facilities staff, student affairs staff and academic department heads, as TLTR members from all these areas work together to develop a policy position for the institution. A well-functioning TLTR helps the institution seize opportunities and deal with problems that are not the responsibility of any one office, department or segment of the institution. We can help with getting a TLTR underway and providing resources for its agenda.
  2. Gathering information from stakeholders: Flashlight Online, our web-based survey system, has been used by a few institutions to regularly gather input from different segments of the academic community. Sandy Shugart, president of Valencia Community College, has said that Flashlight Online is one of the keys to their strategy for shared governance. Tenure track and adjunct faculty are regularly surveyed so that they can contribute information, ideas and opinions for use in developing new policy at Valencia.
What steps has your institution taken to exercise collaborative responsibility for improving teaching and learning with technology? What do you suggest as next steps? Click on the word “COMMENTS” below, just to the right of my name, to share your observations and suggestions. REFERENCES For a bit more on the history of CDIO at MIT, see William Litant's article, “Learning in a Landmark Laboratory,” in http://bit.ly/MIT-CDIO.

Tuesday, September 15, 2009

"We are not responsible..." Universal Disclaimers!

From Steve Gilbert, Sept 15, 2009
Worried about liability for something on your Website?  In your blog?  See the links/refs below, including the Tom Jones video and consider this useful disclaimer:
"We are not responsible for anything at all. Ever. So there."
From: "more-or-less funny disclaimer text" Found 1/22/2008 at: http://www.rdrop.com/~cary/html/mad_science.html
- "Mad Science" - David Cary

Tom Jones, 1966: "Not Responsible"
http://www.youtube.com/watch?v=X1WDkr4Mg0Y


See also: Garrett Price, New Yorker Cartoon, July 14, 1945
"NOT RESPONSIBLE FOR ANYTHING AT ALL"
Page 163, The Complete Cartoons of the New Yorker, Robert Mankoff, Editor, Black Dog & Leventhal Publishers; 2004; ISBN 1-5791262-322-8
Page 421 of accompanying CD

"On-Demand-Personalized-Tutoring" Network of Retired Smart People


Combine Baby Boom retirees with Web 2.0 technology?
From Steve Gilbert Sept 15, 2009 - Google Doc   TLT-SWG Blog   
A network of people ".. with resources who can answer many questions immediately and direct the person to a 'library' online that will help the person (client) with really hard stuff." That's what Henry Holcomb, U. Md. Sch. of Med., suggested after reading "At Your Fingers, an Oxford Don" by Steve Lohr, NYT.
1. Would you welcome the service he describes?
2. Do you have friendly amendments to suggest? Or reasons for discarding this idea?
3. Is there already something so similar available that we should look no further? Even within one academic discipline or field of knowledge?

Below: 
   
A. Holcomb's Hope: "on-demand-personalized-tutoring"
"...online personal librarian / scout master / big brother helper.

"...Reflected on an article on individualized tutoring sessions in today's NY Times. Only solution that comes to mind for 'on-demand-personalized-tutoring,' might be a network of retired smart people working with smart people in college and those recently graduated, a network of people with resources who can answer many questions immediately and direct the person to a 'library' online that will help the person (client) with really hard stuff. You might call this the 'Distributed Alexandrian Project.' a reference to the vast ancient information lost when the Libraries of Alexandria burned (several times i suspect). Only through a distributed system of interested, smart people with some time to spend are we likely to create the sort of individual tutoring system (NYTimes Today) that we all find so helpful. It might cost a few dollars for each session. Of course creating such a network in the context of a successful business model is another matter. It would be useful to know how many unemployed / retired engineers, scientists, scholars are puttering around their gardens waiting for you to call them.

"...I genuinely believe that a 'scholar-scientist-engineer network,' could be done.
There is an immense number of knowledgeable people with time on their hands. Some are students and some
are people retired or looking for work.
And there is an even greater number of people like me looking for answers to complex questions.
There is no 'easy' way to connect the two communities.
Optimally one would like to ask an expert to convene a 'study group' to help solve a problem or
create a training program. People will pay for this. I'm sure of it. Especially if there is some sort of flexible fee schedule.

"...'I'm especially keen on the idea of providing people with different 'levels' of consult. Some might need only to be
guided through a maze of online choices while others will want and pay for help in solving complex database designs. Not unlike having an online personal librarian / scout master / big brother helper.
could be cool.  Finding the clients is another matter and advertising it even trickier."

Henry H. Holcomb, M.D.
Prof., Psych, U. Md School of Medicine
Maryland Psychiatric Research Center
hholcomb@mprc.umaryland.edu

B. Why "At Your Fingers, an Oxford Don" is NOT what I'm waiting for
Tutorials are not best for everyone for every purpose. Most human beings seem to learn many important things better in something like a traditional classroom and course. Especially if the course includes at least one good teacher and some engaged learners (and not too many disengaged learners), some appropriately selected technology and teaching techniques, and a sequence of activities carefully structured by the teacher and colleagues.

"SINCE the 16th century, the ideal of education has been the tutorial system pioneered at Oxford and Cambridge, nurturing young minds one to one, inquiring, prodding and encouraging. The tutorial method, research shows, is a proven winner.
...
"For all its promise to improve education, technology is still no match for one human tutoring another — which, of course, cannot be used to educate large numbers of students and is expensive."
Lohr, Steve. "At Your Fingers, an Oxford Don." 12 Sept. 2009. Web. 14 Sept. 2009. <http://www.nytimes.com/2009/09/13/weekinreview/13lohr.html>.

Private tutorials are NOT the best way to learn everything for everyone
This article repeats a frequent and dangerous oversimplification of options for learning. Lohr implies there are only two (maybe two and a half):
1. private tutorials, and
2. "stand-and-lecture factory approach"
[the half is a brief mention of "project-based learning" - not clear if PBL is considered part of 1 or 2 or something else]

Zealots emerge every few years and proclaim the end of classroom instruction shortly after some new technology arrives. The rest of us are expected to enthusiastically accept the superiority FOR ALMOST ALL LEARNERS AND TEACHERS of the apparent ability of the new technology to record and make easily accessible traditional lectures and permit independent, individualized learning "anytime, anywhere". Scheduled face-to-face meetings are often described and disdained as if they were merely unfortunate by-products of political pressure: a convenient mechanism to provide some semblance of education for the masses who cannot afford the real thing. Once the shouting stops, we usually discover that for some learners, for some purposes, and for some teachers, new technologies and new ways of teaching and learning are very effective and better than what was previously available. That includes new options for individualized, independent learning. But the greater progress is often found more slowly in adaptations of new technologies and methods to improve, enhance, or extend the content and quality of more traditionally structured courses.

Steven W. Gilbert
President, The TLT Group
gilbert@tltgroup.org

Monday, September 14, 2009

6. Old idea: To improve TLT, Improve the Org'l Pyramid

Here's what I once believed about how to organize an institution in order to improve teaching and learning with technology.

The pyramid of authority and accountability: institution is organized like a pyramid, with the chief academic officer and, ultimately, the president at the peak of the academic program. (This is belief #6 of ten things I used to believe about improving teaching and learning with technology.)

The flow of information: Ideas and needs are first discussed within a unit. Then, if necessary, a request or action percolates up to a person senior enough to make that choice. That authority then makes sure the decision is implemented. In other words, the main lines of communication are vertical: requests and information may rise up the chain; decisions and information flow down the chain.

Faculty Autonomy: However, the tenure track faculty member rules his or her own course (and research, if there is some) absolutely. In this realm, everyone else at the institution must defer to the faculty member. Not even other faculty can intervene. (I remember visiting an institution around 1990 that was developing a major distance learning program; faculty were quite concerned about the fact that other faculty might be able to see what was going on in their courses.)

Under no circumstances should support staff appear to tell faculty members what it's best for them to do in those areas.

Implications for teaching and learning with technology: Things are different in the realm of facilities for teaching (e.g., classrooms, course management systems, distance learning). In many institutions, faculty may be told what facilities they must, can, or cannot use. It is assumed that telling a faculty member what facility to use, or how to use it, has no implications for what the faculty member teaches, or how.

Organizing Information Technology (IT) Services: Because IT supports most activities at the institution, one way and another, someone needs to be in charge of that fabric of support: ideally a Chief Information Officer of some sort. The CIO's span of control needs to be wide, probably including the library, in order to assure adequate coordination and reduction of redundancy.

Faculty Input: Because the IT organization needs to be responsive to faculty needs, and because, when the IT organization wants to do something, they would like faculty compliance, many IT units organize faculty advisory committees. The faculty most likely to agree to serve are those who care most about exciting new technology.

Funds for Improvement: as a non-profit that (to quote Howard Bowen, the economist of higher education) 'raises all the money it can, spends all the money it gets, and spends that money pretty much the same way it did last year,' an institution of higher education rarely has much of its own venture capital. So the entrepreneurial faculty member is more likely to make major improvements by raising money from outside (grants) than by soliciting it internally.

Summing up: Decision about new or changed technology-enabled facilities for learning will come top down. Decisions about improving learning will come from individual faculty who care about these possibilities, making changes at the level of individual assignments and courses. The ability to use technology to make a big improvement in a course may well depend on whether an external grant can be obtained.


So that's a summary of what I once accepted as the realities of the organization of higher education. As a young funder of innovation (when I started, in 1978), I assumed that the best grant-funded innovations would gradually diffuse throughout higher education. In those days, I didn't pause to wonder if the organization of higher education might make it quite difficult for most students to benefit from the practices, tools, and materials that our pilot projects were demonstrating.

How would you tweak the organization of higher education in order to support pervasive improvements in what have students learned, how they have learned, and who has learned by the time they graduate? Please click the word 'comment' below (just to the right of my name) to add your views. (Because we're personally moderating the comments in order to block spam, there will be a delay before your comment actually appears.)

Wednesday, September 09, 2009

E. Save Time: Transform Learning

Saving time can be key to using technology to create a pervasive lasting improvement in teaching and learning. No need to wait for new technology in order to achieve such benefits. Consider this example from over twenty years ago.

In 1987 Ray Lewis and I were studying how faculty could take advantage of computing to improve teaching and learning. We spent a day interviewing faculty and staff at Reed College, a superlative private college in Portland Oregon. Current seniors had had Macintoshes since freshman year.

During our day on campus, we interviewed a small number of faculty members scattered across eight departments. They had been selected because they believed that student use of computers was a real asset for their courses. We wanted to know why they thought so: what they had learned about teaching and learning with technology.

It quickly became apparent that each instructor had taken advantage of students' use of computers in very different ways. But, as the interviews unfolded, we discovered that there was one thing that all of them had done. As two of them put it, 'I'm no longer embarrassed to ask the student to do it over again.' 

Back in the day of the typewriter, writing was akin to sculpting in stone. Faculty would make an assignment, students would often type one draft, perhaps use 'whiteout' to correct words here and there, and turn it in. Now, with word processing, Reed students and faculty were discovering that they could revise a word, sentence, paragraph and paper more quickly and easily. Initially it was a time-saver. But, as revising became more common, prolonged, and deep, writing became like sculpting in clay: you could try an argument, look at what you'd done, think about it, hear what others thought, and reshape it. The screen became a mirror to the mind, helping thought grow.

So these faculty saw the promise and had gradually changed their syllabi: assignments were now made in stages: plan, feedback, draft, peer critique, another draft, final version. None of the faculty mentioned any dramatic redesign of their courses: instead, over the years, they had tweaked their syllabi and their techniques. By now, the change in the rhythm of assignments had become substantial.

That day, I asked a couple of seniors if their abilities had been influenced by their use of computers over their four years at Reed. One of them replied that he'd learned that it's not one's first draft or thought that matters, but only the final version. When I asked from which course he’d learned that lesson, he replied, “I don’t think I could have learned that from just one course. But, over the years, it gradually sank in.” Apparently this change in the shape of courses at Reed had been widespread, enough so that this student had seen this kind of teaching again and again over his four years.

By early afternoon it was clear that we were seeing a pattern. So I started asking if this change in teaching was having an impact on the skills of graduating seniors. The three remaining interviewees replied the same way: Reed's senior theses had improved. (At Reed, a senior thesis is the product of two semesters of research.) ‘Part of that is simply because it’s easier to revise a long paper when you’re using a computer,’ said the director of the writing program, ‘but I think our students have gradually learned more about how to assemble and refine a complex intellectual argument.’

At the end of that day of interviews, Ray and I sat down with several senior faculty and administrators. We told them pretty much the same story I’ve just recounted. They were surprised. There had been no centralized push, no faculty workshops, no inspiring leader urging colleagues to build revision into the curriculum. Apparently large numbers of students and faculty, seeing similar opportunities to save time and improve their work, had responded in similar ways.

Years later, I read Walter Ong’s classic Orality and Literacy. Ong suggested that reading and writing enable people to gradually develop a complex arguments, a way of thinking quite different from that found in preliterate cultures. 

Similarly, when Reed began using word processing as a lever to enable more critique and more revision, students might well advance to a new level of critical thinking. And critical thinking is one of the most important goals of education.

Remember the backdrop of this story. It had always been possible to revise a draft, and some students must have gone through several drafts before submitting a paper, even when using pen or typewriter. But word processing saves time when revising, enough time so that revision could begin to play a very different kind of role in helping students learn to think.

This time-saving use of word processing for revision led to what I'd call a “transformation” of education at Reed, i.e., a pervasive, lasting change in academic work that probably led to important improvements in how Reed graduates could think.

What does this story about saving time suggest how to transform teaching and learning with technology in the future? Here are the lessons I learned:
  • The activity: Select a routine activity that is important in studying and in life. At Reed. the activity was revising a paper. For an engineering program, the activity might be some aspect of design or analysis. In a humanities field, the activity might be using and discussing source materials in several different media. The activity should be something that students and faculty do frequently, across the course of study.
  • The technology: Then find ways in which some technology now enables students and faculty to save time while carrying out that activity. The technology is probably so familiar that the technology pioneers in your program don't even think of it as 'technology' anymore. But the technology should be popular, inexpensive, and easy to use. When someone learns applies this technology to the activity, they should quickly get a thrill: initially because the activity is now much quicker and easier, and later because in some way the activity is also better when done this way.
  • Avalanche about to happen: In the first bullet above, I said to “select one or more routine activities,” but perhaps a better verb would have been “discover.” Look for people who are already saving time by using this technology in this way, and getting such a charge out of that change that they're already telling a few colleagues about it. If you're on the right track – the right activity, the right use of technology – you'll have discovered an avalanche that is about to happen. Your role: help to trigger it, so that your program can progress this way more quickly and easily, and perhaps before your competitors do.
  • Cumulative impact: You're looking for a changed activity whose benefits can add up, course after course, to some significant improvements in how graduating students think, what they know, what they can do, what they appreciate...
  • Evaluation: That's what was missing at Reed. If my inferences at the end of that day in 1987 were correct, Reed had made important progress. But the leadership didn't even know the change had occurred. So they hadn't applauded it, guided it, or funded it. They had no evidence to share with faculty, students, or potential benefactors. They didn't know where progress had been usually rapid, or unusually slow, or whether to pay attention to either. The smaller the steps toward improvement, and the more pervasive and bottom-up that progress, the more important it is to use programmatic research to help the faculty as a whole see what they're doing so that they can discuss and decide what to do next. I'll discuss how to do this kind of research in a future post.
This strategy may be counter-intuitive: no hot new technology, for example, and not necessarily any need for a big grant. But I suspect this bottom-up, time-saving strategy may often be the best way to alter who can learn, what they learn, and how they learn. It's an example of what my colleague, Steve Gilbert, has called 'frugal innovation.' ***** PS. We're now half way through this series of posts, the last five weeks on goals for using technology and the next five weeks on strategies to reach those five goals. This table includes links to each past post, and my evolving plans for coming posts. Print References Ong, Walter (1982), Orality and Literacy: The Technologizing of the Word, London and New York: Routledge.