A revised version of this article is scheduled to appear in the March-April, 1995 issue of Change Magazine.

Please do not copy or distribute without permission from the authors, except for full text Internet distribution; i. e., you may forward the full document.

Great Expectations:
Content, Communications, Productivity, and the Role of Information Technology in Higher Education

Kenneth C. Green and Steven W. Gilbert

Abstract

This article argues that there are many good reasons for colleges and universities to continue investing in using information resources and technology for teaching and learning; but that increasing INSTITUTIONAL productivity in a few years is not among them.

Recent financial pressures seem to be pushing some academic leaders to leap at the prospect of achieving cost-savings to meet short-term crises by investing in info tech. The urgency and power of this hope cannot make it plausible.

Are you old enough to remember the slide rule? If handed one today, could you use it to perform simple math problems, let alone complex calculations?

Early in the 1970s, calculators replaced slide-rules as the math tool of choice for scientists and engineers. Calculators are more accurate, easier to use, and generally do far more than slide-rules. After a few years on the market, calculators were less expensive than slide-rules. It was easier for students to learn to use calculators than slide-rules. Less instruction was necessary. For colleges and universities, the transition costs from slide rule to calculator were low because students purchased their own. And the transition decision was simple: a newer, more effective technology replaced an older - now less useful - tool. It was not necessary to conduct time-consuming, expensive, cost- benefit analyses or learning outcome evaluations of slide-rules and calcu-lators.

Calculators - both the ubiquitous inexpensive products as well as high-end, programmable models widely used by scientists, engineers, and financial analysts - provide an interesting case study of a compelling technology that helped change the way many professionals work. Moreover, this technology, by general consensus, helped its users become "more productive": The personal productivity value of the calculator was readily apparent. However, this technology changed only a small part of what was taught and how it was taught; and the changes applied primarily to specific disciplines, not the whole academic enterprise. Advocates did not believe or claim that higher education as a whole or that individual colleges or universities had become more productive because more students and faculty were using calculators.

The case-study of the calculator suggests several major points about the integration of technology in education. First, the most compelling technological innovations do not require extensive analysis or evaluation before they become widely adopted and integrated into the curriculum. The calculator, and especially the programmable calculator, was a compelling technological innovation.

Second, the universe of beneficiaries must be carefully identified in any and all discussions about impacts, including productivity. For example, a new technology may offer significant productivity gains for individual students or faculty without affecting institutional productivity; alternatively, technology may be used to increase the productivity of administrative operations without having any impact on instruction.

Third, compelling technology may - or may not - have dramatic consequences for the curriculum. Neither calculator advocates nor calculator vendors made great claims for how these products would change engineering education. But clearly the programmable calculator has contributed to some important changes in mathematics, engineering and technical education over the past two decades. And not all these changes were initially identified or anticipated. (Similarly, the computer spreadsheet has also had important impacts on management education, but advocates made no great claims. Here too, many of the impacts and benefits were not initially identified or anticipated.)

Finally, the experience with the calculator is unusual. The slide rule, like the book, blackboard and lecture, was an accepted standard. But unlike the book, blackboard and lecture, the slide rule was quickly replaced by compelling new technology - the calculator. There are few if any similar examples, even today given great claims for computers, video, and IT. For better or worse, the book, blackboard, and lecture continue to dominate instruction.

* * * * *

Education always seems attracted by the light - by the promise and potential - of technology. From film in the 1920s to television in the late 1950s, computers in the 1980s, and now "information technology" in the 1990s, the public has heard great expectations for the use of new technologies that might enhance learning and instruction. In the 1980s, during the much discussed "microcomputer revolution" in higher education, the computer emerged as a personal tool: writing across all disciplines, financial analysis in business, statistical analysis in the social sciences, etc. Students, faculty, and institutions purchased desktop systems by the truckload; engaging applications (graphics, digital imaging, desktop publishing, electronic mail, multimedia), falling prices, and increased power and convenience brought the desktop and notebook computer to thousands of academics who never previously thought of themselves as "computer users." Most would agree that modest productivity benefits emerged as growing numbers of faculty transferred much of their work from secretaries, mainframes, and minicomputers to desktop systems and word processors.

Midway through the 1990s, however, colleges and universities confront a second major phase of this "revolution" - a shift in emphasis from the computer as a desktop tool to the computer as the communic-ations gateway to colleagues and "content" (data bases, image and text libraries, video, and more) increasingly accessible via computer networks to both faculty and students. Technology advocates are fond of describing a future "information- rich" environment that will support instructional and scholarly activities in new and exciting ways.

Additionally, the rising financial pressures con-fronting higher education in recent years have also focused attention on the promise of technology to improve productivity in higher education. The stated hope is that computing and information technologies will yield new levels of institutional and instructional "productivity." The stated expectation is that the infusion or integration of new technologies into instruction will, at minimum maintain and ideally enhance student learning while significantly reducing instructional costs.

But will information technology (IT) lead to the kinds of productivity gains and associated cost savings touted by its most ardent advocates? Alas, not soon, and certainly not soon enough for those both in and out of academe understandably eager to control instructional costs or for the evangelists who promise that information technology will enhance faculty productivity.

However, a careful review suggests there will be major substantive benefits from more widespread academic uses of information technologies - in the areas of content, curriculum, and pedagogy. Further, the demands and expectations of students and faculty for technology resources are increasing the pressure on colleges and universities to make information technology readily available. Finally, the changing student demographics of students have already increased the number of those who can benefit most from new "distance education" applications of technology.

* * * * *

Reduced to the core issue, the "technology yields instructional productivity" advocates are eager to demonstrate that information technology will (a) allow the same number of faculty to "teach" more students at the current (or at an enhanced) level of learning or (b) allow campuses to serve the same number of students with fewer faculty and with no loss in learning (either what is learned or the number of students who learn it).

Clearly technology has brought both enhanced productivity and reduced costs to some parts of higher education. Like many corporations, campuses routinely and effectively use technology in many administrative areas. As in the corporate domain, computers have improved productivity related to a wide range of data management and transaction processing activities: personnel files, course schedules, library catalogs, budgets and accounts receivable, student transcripts and admissions information. Moreover, in some parts of the faculty domain, technology has truly helped to increase productivity and reduce operating costs. Indeed, a generation of faculty has come into academic positions with little or no secretarial assistance from their departments or institutions: they have a computer to prepare their own class materials, course syllabi, conference papers, grant proposals, manuscripts, and other documents. As of yet, however, relatively few would claim - even after a dozen years into the "micro" revolution - any real gains in instructional productivity. In that realm, as ever, we're still left with the "promise" of technology.

* * * * *

To understand why we find more potential than performance, it is instructive to examine the wider literature on technology and productivity, most of it based on the experience of corporations and not-for-profit organizations. "Implementation cycle" research points to three or four stages of IT integration that occur over years, not weeks or months:

Stage 0. Some planning, investigation, and exper-imentation. Recognition that the leading competition has already started to use technology. Recognition by some individuals that they can do some of their work better and faster if they can use the most widely available functions of a desktop computer. A decision is made to permit small groups to go ahead (or to ignore the fact that they already have done so).

Stage 1. A few years of marked increase in planned capital investment for individual workers/ professionals and surprising increases in oper-ating expenses - with little reduction in other expenses. Additionally, there are unanticipated but significant delays in implementing some of the most "obvious" applications. The organi-zation also slowly begins to accomplish some tasks never before attempted and experiences a modest gain in the scale or scope of new activities.

Stage 2. A few years of readjustment where costs and annual investments in technology stabilize while capacity continues to grow and new functions are developed and implemented. [Alternative: the organization rejects "automation" and/or leaves the business that was being automated.]

Stage 3. Several years where the organization achieves new levels of efficiency and effectiveness - but the organization is no longer really in quite the same "business" it was in the beginning. No one seriously asks if technology increased productivity compared with the "old" ways of working, because the organization is no longer pursuing the old objectives and no longer works in the old ways. No one seriously considers abandoning the technology because it has become inconceivable to accomplish what is now being done without it.

In administrative and other areas where educational institutions engage in functions highly similar to corporations, colleges and universities can adopt techniques already well- developed for business and move very rapidly through (perhaps even skip) the earliest stages. In instructional areas, however, the IT decisions of colleges and universities are more decentralized than in corporations; moreover, the core functions are not similar to those in business. Consequently, the organizational implementation cycle is more complex and educational organizations are likely to move through the stages even more slowly than industrial organi-zations of the same size.

On the academic side, most colleges and universities are somewhere in Phase 1 - spending money. Just the same, new technologies that may offer great potential for educational applications continue to arrive - each year, each month, and sometimes each week. And with each major new tech-nology, institutions and departments must again revisit plans and move through the same stages.

Higher education has much to learn about the turnover of technologies and how to move quickly and painlessly into phases II and III cited above. Additionally, we need better metrics and models to measure the costs and benefits of technological innovation on instruction.1 All the while, the current technology infrastructure at most institutions is so taxed and under-funded that campuses are stretched supporting just the "early adopters" - the first large wave of students and faculty drawn to desktop computing and IT resources.2

Ungrounded (and unchallenged) IT advocates will mislead many if we all continue to underestimate the real costs, complexity, and duration of the successful implementation process. Without understanding these cycles and their costs, campuses will neither recognize nor attain the full benefits that technology might offer - to students, to faculty, to curriculum, and to institutional effectiveness. The consequence: campuses will be stuck in phases I and II, never achieving the gains available in phases III and IV .

We cite as one example of this problem the costs of "installing a campus network," an issue which most campuses have experienced or will soon confront. At face value, the costs are running wires into offices, dorms, libraries, and classrooms. But the additional and very real implementation costs include additional equipment, initial user training, continuing user support, and software licenses. Moreover, while the initial installation cost looks like a simple capital expenditure, the technical maintenance and user support costs are a continuing expense that over a few years can easily dwarf the initial expense for installing the wire.

This mirrors a recent conversation with a college president: the network installation estimates he received accurately stated the costs of the "running the wire." But what he needed for financial and curriculum planning were total costs over the first three years. Yet the estimate on his desk did not include any of the ancillary or support costs (e.g., additional hardware and software, site licenses for content, additional technical support personnel) which consequently almost tripled the total costs over the first three years.

There is another lesson from the corporate experience that is also important for higher education. The successful integration of information technologies is almost always associated with significant structural change - the very kind of change which educational institutions routinely resist. In contrast to the pace ofcorporate restructuring in the United States over the past five years, structural change in education occurs slowly, incrementally, and over a period of many years (decades). Indeed, it is well-known that the collegial decision process works far better at preserving culture and knowledge than at responding quickly to new technologies and changing environmental issues. Yet given the pressures currently confronting educational institutions - for accountability, quality, cost control, productivity, and organizational efficiency - colleges and universities may have arrived at the moment when they must shift to accommodate change as well as preservation.

Some IT advocates, such as computer center directors and faculty who are strongly committed to applications of specific technology, may argue with this critique. Some will point to individual cases in specific disciplines where technology helped to increase productivity and/or reduce costs. Some will argue that successful structural changes are already underway, citing distance education as the most important example.

But these changes do not necessarily address the core, campus-based instructional activities of most faculty at most institutions. Rather, the oft-cited examples of successful integration and potential productivity gains (or effective cost control) typically involve small programs, "early adopter" faculty, and units that receive special support to "make things work." We have yet to hear of an instance where the total costs (including all realistically amortized capital investments and development expenses, plus reasonable estimates for faculty and support staff time) associated with teaching some unit to some group of students actually decline while maintaining the quality of learning.

TEXT FROM A SIDE-BAR BEGINS HERE

What Does it Cost?

What does it cost to support instruction in a classroom? Much depends on the kinds of "technology" in use.

     White Board (4'x8')     $               150
     Overheard Projector                     350
     20" TV w/ VCR                           600
     Multimedia computer w/projection via
          overheard projector              2,700
     Multimedia computer w/projection via
          overheard RGB/TV device          4,700
     20 unit networked computer lab with
          projection device               60,000
Of course these costs reflect just the initial purchase price, not sustained support and operating costs, which vary tremendously. For example the three year costs for a 4'x8' white board might be $100 or $150, mostly for markers, erasers, and cleaning fluid. In contrast, the three year costs for a single unit multimedia computer/projection system could easily surpass purchase costs, given software upgrades and some technical assistance.

One other important point: the half-life of the white board is much longer than the half-life of the multimedia computer system or a 20 unit instructional computer lab. This too affects the overall, multiyear costs.

TEXT FROM A SIDE-BAR ENDS HERE

* * * * *

So given the somewhat uncertain benefits, why do (or must) colleges and universities invest in information technology, even if the claims for productivity are elusive or just simply a long- way off?

There are several compelling reasons why insti-tutions will have to make continuing and significant investments in information technology. These reasons generally fall into three categories: competitive position; teaching, learning, and curri-culum enhancement; and student preparation for the labor market.

COMPETITIVE POSITION. Growing numbers of college-bound students come to campus with computer skills and technology expectations. In Fall 1994 over half (55 percent) of all entering college freshmen reported having had at minimum one-half year of "computer science" or some form of formal computing or technology instruction while in high school.3 Several recent consumer studies suggest that one-fourth to one-third of American households now own a computer and more than 40 percent of recent computer sales in the United States have been into homes rather than small businesses and large corporations.

Consequently, colleges and universities must invest in computers and information technology if only to tell their potential clientele that the institution provides the information technology resources increasingly available elsewhere, meaning both in homes and high schools, and at competing institutions. Given the explosive growth in home sales over the past year, many students will arrive on campus to find old (and in too many cases antiquated) computers in campus labs and clusters: the computers students have at home, in their dorm rooms, and in off-campus apartments will be newer and more powerful than the systems available to them on campus.

But the network and on-line information resources now drive much of campus computing. So in this domain, the continuing institutional investment will focus heavily on the network, particularly "plug and play" options that allow mobile users to connect devices into the campus network at a variety of locations - libraries, labs, dorm rooms, offices, etc. The old competitive reference points describing information resources that used to distinguish between institutions- the numbers of science labs and library books - are being be replaced by a new one: information resources and tools available to students, as reflected by (a) the number of locations on and adjacent to campus that support mobile computing and network access; and (b) the kinds, quality, and currency of digital resources available on-line via the campus library or information services center. Evidence of this transition? Simply spend a few minutes with a standard college guidebook to see the kinds of information these resources now provide about the campus computing and IT environment. These competitive issues also apply to institutional efforts to recruit and retain faculty.

TEACHING, LEARNING, AND CURRICULUM ENHANCEMENT. There is impressive evidence that information technology can be used to enhance courses, curriculum, and student learning. One of the best articles on this topic, by Robert Kozma and Jerome Johnston, presents compelling evidence, drawn from a number of disciplines and a variety of campuses, about the role of information technology as a catalyst for (or enabler of) the qualitative enhancement of the learning experience.4 Summarized below, Kozma and Johnston identify seven ways that computing and information technology can be used in the transformation of teaching, learning, and the curriculum:

1. From reception to engagement. "The dominant model of learning in higher education has the student passively absorbing knowledge disseminated by professors and textbooks.. With technology, students are moving away from passive reception of information to the active engagement in the construction of knowledge.

2. From the classroom to the real world. "Too often students walk out of class ill-equipped to apply their new knowledge to real world situations and contexts. Conversely, too fre- quently, the classroom examines ideas out of the context of gritty real-world considerations. Technology is breaking down the walls between the classroom and the real world.

3. From text to multiple representations. "Lin-guistic expression, whether text or speech, as a reserved place in the academy. technology is expanding our ability to express, understand, and use ideas in other symbolic systems."

4. From coverage to mastery. "Expanding on their classic instructional use, computers can teach and drill students on a variety of rules and concepts essential to performance in an interdisciplinary area.

5. From isolation to interconnection. "Technology has helped us move from a view of learning as an individual act done in isolation toward learning as a collaborative activity. And as we have [also] moved from the consideration of ideas in isolation to an examination of their meaning in the context of other ideas."

6. From products to process. "With technology, we are moving past a concern with the products of academic work to the processes that create knowledge..[students] learn how to use tools that facilitate the process of scholarship.

7. From mechanics to understanding in the laboratory. "The scientific laboratory is one of the most expensive instructional areas of the academy. It is costly to maintain . and to provide supervision to students scientists. It is also a limited learning experience [as] so much time is spent replicating classic experiments that there is little time left to explore alternative hypotheses as real scientists do."5

There are many ways that information technology can enhance the undergraduate curriculum and student learning experience. The key issue, of course, is the effective use of information technology resources as tools to support instruction and learning outcomes.

There are now good examples to document the successful use of computer software to improve the quality of learning and teaching in each of the categories described above. Kozma and Johnson report from their work with the faculty who received national recognition from the EDUCOM/NCRIPTAL Higher Education Software Awards Program that most award winners needed five to seven years to develop their own instructional applications. Students in the classes of these faculty benefited significantly from the faculty effort to develop instructional software. But overall, Kozma and Johnston report minimal dissemination and adoption: comparatively few students, courses, or other institutions ever benefited from that work.

Focus for a moment on just the classes where faculty used the EDUCOMoNCRIPTAL award software to support instruction. Were it possible to accurately calculate (or even estimate) the increases in student learning linked to these instructional resources, the "productivity gains" for individual students would produce impressive numbers. Students in these classes generally were usually not required to pay additional fees or invest much additional time, but they were enabled to learn more - to learn it faster, better, more comprehensively Improved outcomes divided by stable costs generated increased productivity.

However, calculating productivity gains for any broader universe - even at the level of the individual course - will not show such gains. This second set of calculations would have to include total development costs - the faculty time and related institutional support. This more accurate assessment of total costs dramatically reduces the relevant cost-benefit ratio. Moreover, the true development costs are quite large if spread over only a few hundred or even a few thousand students.

LABOR MARKET PREPARATION. There is no question that technology skills will be essential in ever increasing portions of the labor market of the 21st Century. The use of computer and other information technologies is becoming prevalent across all fields and occupations. Consequently, colleges and universities would be doing a major disservice to their students if the institutions failed to provide appropriate opportunities (including structured curricular experiences) to develop and enhance information technology skills as part of an undergraduate experience.

A.D.A.M.

The Cost of Curriculum Effectiveness

A.D.A.M. provides a relevant example of a relatively successful commercial instructional software package. It is a multimedia, CD-ROM-based set of programs in human anatomy and physiology that is widely used to supplement instruction in biology, anatomy and related courses, even in medical schools. The software permits students to "explore" and "see" a human body in ways that are not possible otherwise - not even through working with a cadaver.

Faculty who have adopted ADAM report that their students are learning more, better, easier, faster - at a cost per student that is competitive with most textbooks. It is obvious that the "student productivity" or "learner productivity" has increased for those who use A.D.A.M..

But A.D.A.M. is not cheap: it is available for an institutional purchase, rather than student resale. According to the co-producers, A.D.A.M., Software Inc. of Atlanta and Benjamin/ Cummings Publishing of Redwood City, the development effort required four years, fifteen medical illustrators, ten computer programmers, and over six million dollars.

Was this a cost-effective investment for the developers? Probably so, since A.D.A.M. is broadly viewed as a quality product and, despite the price ($800-1,300), it is widely used in undergraduate and medical education. The size of the market, the acceptable price, and the develop-ment cost seem to be in balance, slightly in favor of the publishers. There are not yet many other examples of instructional software for which this is true.

But it is also hard to argue that any single college or university has achieved more than a negligible gain in productivity by using A.D.A.M. The number of students taught in these courses has not increased. Tuition has not increased. The number, kinds, and combination of faculty teaching these courses using A.D.A.M. have not changed. There may be some marginal gains in reducing the number (and expense) of certain laboratory requirements that have been replaced by student use of A.D.A.M.

The point is that A.D.A.M. represents a worth-while investment, a commercial success, and an innovative application. But it has not been respon-sible for instructional productivity.

In this context one of the best statements comes not from an occupational task force or industry group but from the American Library Association:

To be an information literate, a person must be able to recognize when information is needed and have the ability to locate, evaluate, and use effectively the needed information.... Ultimately, information-literate people are those who have learned how to learn. They know how to learn because they know how knowledge is organized, how to find information, and how to use information in such a way that others can learn from them. They are people prepared for life-long learning, because they can always find the information needed for any task or decision.6

Information access, or information literacy (to use the ALA term), will be essential for the growing cadre of knowledge workers and professionals in the 21st Century. These challenges cut across all academic disciplines and across all occupational and professional fields. It is an issue higher education institutions across the United States cannot ignore - but one that many faculty have no idea how to address and for which few teaching materials have been designed. It is an area where communication, cooperation, and collaboration among faculty, faculty support staff, and librarians will be essential.

So there are good reasons - other than "institutional productivity" - for colleges and universities to invest in information technology for teaching and learning. These reasons, described above, can be explained in terms of productivity gains for individual faculty and, especially, to individual students. But these gains do not offer the kind of progress described in phases III and IV; and many colleges and universities confront pressures that force them to seek much greater gains (and the accompanying reduced costs).

So why are institutions not making more progress towards stages III and IV?

Infrastructure and user support limitations are the central issues preventing colleges and universities from reaching phases III and IV in the educational use of information technology. Most campuses have barely begun to provide the capital investment - computers, telecommunications links, adequate technical support staff - required to support significant gains based on the effective integration of information technology. One example: when user support levels (personnel and dollars) are compared to widely cited standards for corporations, colleges and universities are often running at one-half to one-fifth, or less, of recommended levels. Some observers may (incorrectly) cite this as productivity, a case of doing more with less; rather, this one example provides important evidence that many things are probably not being done well or right, or at all. Additionally, it highlights the often hidden, often unacknowledged, but nonetheless real costs of user support as a key component of the overall costs of the institutional investment in IT.

Moreover, many senior campus officials view the technology infrastructure - equipment, software, and support personnel - as a "black hole" for money. They also often view IT as a centralized service (similar to the library) that is an easy target for budget cuts in times of financial difficulty. Additionally, technology resources are expensive yet have a short-half-life, often less than 15 months. Most campuses do not have an amortization plan for acquiring and retiring needed equipment and software that becomes obsolete quickly.7

Many campuses fit a pattern that leads to a crisis in this area. Increasing investments (campus dollars or external grants) support the expansion of the information technology hardware base on campus - most recently, the campus-wide network. Little attention is given to the accompanying increased demand for technical support personnel who keep the new additions functional. Meanwhile, more students and faculty notice the arrival of the gizmos, widgets, and stuff; they begin to ask "How can I use that new jack in the wall? When can I use this Internet I hear so much about? Who will train me to use Mosaic? How soon before I can bring this into my classroom?" At the same time, institutional financial pressures have led to a hiring freeze or staff reductions. Faculty who have depended on technical support staff for basic services find support less accessible. Faculty eager to explore IT applications in their instructional and scholarly work experience problems because the support staff who handle technical issues or training are simply not available.

And what then happens when institutional pressure increases to support distance education and other pedagogical and content changes? The need for additional faculty support services to facilitate these major transitions increases, becomes still more varied, and often is recognized too late. Pedagogical change enabled by technology required faculty development services that help faculty understand, adapt, and adopt new teaching approaches. As many of the new pedagogical approaches rely on new ways for students to access to new kinds of information resources, increased and more sophisticated library support services are also required.

The all too-likely and unfortunate outcome: user support (training, assistance, etc.) declines just when faculty interest and aspirations might reach "critical mass." The hopes for engaging, significant, and exciting changes in academic activities, enabled by technology, are unfulfilled as the gap between the level of support services needed and the level available widens. The institution remains stuck in phase I or II.

* * * * *

There is another important dimension to this discussion. Amidst all the conversation about using IT to enhance instructional productivity, the client's perspective seems missing. How much and what kinds of IT do our clients - students - view as essential, beneficial and/or convenient? And how much and what kinds of IT do they view as serving faculty or institutional interests, rather than their own?

The 15 million students - clients - enrolled in U. S. colleges and universities represent many different markets for educational training and services, ranging from full-time freshmen and medical students to part-time students in community colleges and in MBA programs. Instructional models and technologies appropriate for and effective with some populations or in some disciplines may not work well for others.

Some interesting innovations such as Mind Extension University (MEU) use cable to bring college courses into homes at all hours of the day. (MEU students can even tape the lectures for viewing at a more convenient time, much the way many traditional students might copy reserve reading assignments.) But even with dramatic growth, MEU serves a very small percentage of the clientele for higher education in the United States. And part of MEU's costs are leveraged because it distributes content - video courses - developed by faculty based at traditional campuses across the country. For MEU's clients, cable offers added-value: traditional content plus significant convenience. Similarly, for MEU's suppliers (participating faculty and institu-tions), MEU's distribution agreements also represent added-value, in the form of new markets and revenue that do not compete with core clients.

But the IT that provides added-value to MEU's clientele can also be inappropriate, impersonalized (and potentially overpriced) instruction for eighteen-year old college freshmen and executive MBA students. In short, IT is not a "one-context serves all" solution. Yet the kinds of productivity gains or cost savings promised by advocates requires a mass, rather than unique application of the resource. However, IT does not provide a one- size, one source solution.

What Do We Really Do With Technology?

Accidentally Falling into Phases III and IV?

Even as many institutions struggle to develop their technology plans and articulate a vision for the way they intend to use IT, the daily importance and impact of IT on higher education is readily apparent, if not yet pervasive Over the past decade, and in particular within the past five years, IT has become common within the academic enterprise. Some examples:

o Computers have replaced typewriters. Word processing is now the primary mechanism for preparing the documents - class assignments, institutional reports, and scholarly documents - that are the coin of the realm in academe.

o E-mail has emerged as a major resource for scholarly communication. The dissemination of ideas and documents via "The Net" has contributed to new levels of scholarly access and dissemination in many fields.

o On-line information resources provide remote access to a rich array of content. Gopher and World Wide Web (WWW) resources bring distant data and archival material to individual desktops via the magic of the network: the White House, Library of Congress, National Medical Library, and the Vatican Museum- as well as Elvis's Graceland to name but a few- are now available on-line to almost anyone with access to the Internet or to a commercial information service (e.g., America On- Line, Prodigy or CompuServe).

o Video distribution supporting distant learning transfers the content of one classroom to many. Using conventional telephone lines, fiber-optic networks, satellite down-links and even standard VCR tapes, campuses and departments are "broadcasting" classes and content to new clientele at new locations.

Of course these four examples barely touch the movement of IT into the course syllabus: slowly, cautiously, and somewhat erratically, growing numbers of faculty are bringing IT into their instructional activities. The early adopters are already using commercial products, creating their own templates, making assignments that draw on courseware distributed by educational publishers, and using simulations across a variety of disciplines to encourage the "active engagement in the construction of knowledge" described by Kozma and Johnson. But these early adopters may represent no more than a fifth of the professoriate; integration and innovation that goes beyond this group has been stalled. (See Geoghegan, "Stuck at the Barricades" elsewhere in this issue of Change.)

Nonetheless, the campus community harbors great expectations for more - more that will be better, richer, and less expensive, if not "free" - or at little costs to individual users. The initial experience with the Internet or "the Network" as a source of content for instruction and scholarship is striking - and positive. The rich array of periodicals, data bases, scholarly literature, image libraries, federal and state documents, and scientific research coming on-line on a daily (or even hourly) basis is stunning - and fundamentally changes the traditional definition of the library as the primary campus archive or information repository. Via both campus networks and broadly available commercial services such as America On-Line, CompuServe, and Prodigy (the big three in commercial consumer services), users have access to wide range of commercial, scholarly, and scientific resources concurrent with the publication of these materials in printed form. Moreover, archival searches are quick and are becoming increasingly easy. On some of the commercial services, searching special topics and content in back issues of Time, Newsweek, Scientific American, Atlantic Monthly, and The Congressional Record can be done in the time it takes to walk from a parking lot, dorm room, or faculty office to a campus library.

The emerging uses of the Internet by faculty and students (especially, the new practice of using e-mail to enhance communication among students and faculty in conjunction with the work of a specific course) may provide ways to change the structure of the fundamental "business" of education. Colleges and universities may discover that small pockets of faculty and students are already making a transition to phases III and IV in the use of information technology for teaching and learning.

* * * * *

Those who believe that technology provides the "silver bullet" on productivity and quality should look at the experience of General Motors during the early 1980s. Seeking a quick fix to quality and productivity problems, GM invested heavily to bring technology to its manufacturing plants. By one estimate GM spent $50 billion on automated assembly lines and robots. A decade later GM could report only marginal gains in quality and productivity: moreover, GM continued to lose market share and fall behind on quality to its Japanese and US competitors.

In contrast, a visit to Honda, Toyota and Nissan plants in the US, as well as to Ford's assembly lines reveals only average use of robotics in manufacturing and assembly. Yet quality and market share have im-proved for these companies.

What happened? Why did GM fail to realize real benefits from its massive investment in technology? The problem was that GM poured money into technology but paid little attention to the overall design process: the new technology on the assembly line could not resolve key design problems in the product. The GM experience, widely cited in TQM circles, highlights the role of technology as one of many tools, rather than the tool, to enhances quality and improve productivity. Moreover, at GM as in higher education, process and participation are important: training, worker (or user) participation, design, client needs and requirements, and support services for professionals all affect outcomes - be it car quality or classroom learning.

The real long-term academic benefit of information technology will be what it brings to pedagogy and the curriculum - additional resources that enhance the instructional tools used by faculty and the learning experience of students. Ample evidence documents the benefits for the learning experience. Technology provides access to image data bases (satellite photos of the cosmos or the California coastline); statistical data bases (such as Census data) that students can use for class projects, remote libraries (which supplement resources available from campus facilities), and more.

It is in this context that the IT implementation effort now underway at colleges and universities across the country poses two great risks:

1) Many institutions will follow GM's path by focusing on technology, with inadequate attention to other components of the process. This will lead to marginal (if any) gains, great individual and organizational frustration, and, ultimately, to unrealized potential;

2) Only a few institutions will have the financial and personnel resources and the commitment necessary to achieve the educational potential of information technology - providing access to superior learning options for students and new levels of faculty productivity.

Despite the time and money invested to date, colleges and universities are still in the "flat part of the learning curve" in the area of information technology. Institutions, departments, and faculty are still experimenting with using familiar technologies in new and different ways, with both traditional and new clientele. Additionally, past experience suggests that new technologies always generate unanticipated applications - and benefits. In other words, the wisest technology advocate or planner cannot anticipate all the ways that new technologies might be used to enhance instruction and scholarship.

Colleges and universities still have much to learn about how to develop a new information technology infrastructure that provides instructional and curricular benefits. We must measure our great aspirations and institutional investments against what information technology can really provide, not what we hope (or fear) it might do.

For today and into the realistic future, most students at most colleges will continue to pursue campus-based and classroom- defined educational experiences. The technology not withstanding, instruction in virtually all these classrooms will continue to depend primarily faculty.

Clearly, information technology can support changes in the traditional faculty role. Growing numbers of faculty are gaining experience using the Internet for collaborative discourse in their disciplinary specialties and for pursuing their own research agendas; however, very few have begun to train their students in these same skills. (In many instances, students are training the faculty!) As noted above, navigating the network now provides access to resources previously not available to most students (and perhaps to many faculty). This shift reflects a dramatic change in kinds of learning resources that can come into the classroom - dramatic shifts in the content available for instruction. And content - the material used to stimulate learning, analysis, synthesis, integration and mastery - combined with new modes of communication, provides the new foundation for education's great aspirations for information technology.

* * * * *

What IT does best (or will do better as it improves) is deliver content and provide access to information and to other people. It allows students and faculty to find and manipulate information, to take new meaning, and to have new (learning) experiences. In the near term, however, the demand for faculty guidance and intervention, for faculty mentoring, is much more likely to increase than to decrease. Students will continue to need faculty to provide the conceptual framework and motivation that enable them to seek and integrate new information. They will also need someone to introduce them to the most effective ways to approach the Internet for the purposes of acquiring information for a particular academic discipline.

But what then about the new Grail of productivity? Unfortunately (or, fortunately!), there is little if any evidence that information technology will reduce faculty involvement in instruction (i.e., reduce the cost of instruction) in the next few years. Technology enhances the content of the curriculum, the materials that faculty use as a catalyst for learning; it also enhances the options for communication with and among students. And technology can help faculty adjust the syllabus to respond to changing issues and environmental opportunities, be these the shifting maps of Eastern Europe or the human genome. Admittedly, there are exceptions, most of which center on "skill-heavy" applications: the use of computer-based instruction for introductory logic and other courses have effectively altered some components of the course syllabus and the need for the faculty role in some instances - but these courses are still quite the exception after twenty years of demonstrated effectiveness.

Perhaps the changing demographics of higher education's clientele - the growing population of non-residential, part-time, older students - will continue to make distance education an attractive option. Consequently, some instructional uses of information technology will be more widely sought and acceptable. But higher education will be shaped by two demographic forces over the next decade: rising numbers of baby-boomers who are coming back to campus for additional education, coupled with a tidal-wave of the children of the baby-boomers (Boom II), making their first appearance on campus. Parent and child will not necessarily want, need, or appreciate the same kind of instructional methodology.

* * * * *

So what do we advocate and what can we hope for? What are reasonable aspirations for information technology if campuses cannot realistically expect their technology investments to reduce the costs of instruction in the next few years?

We suggest that each college and university engage in an institution-wide planning initiative that looks carefully at the ways information technology can be used most effectively to improve teaching and learning. This review must also include a careful assessment of the full costs (hardware, software, faculty time, support services, etc.) and potential benefits of various alternatives. A promising framework for setting and achieving realistic goals in this arena recognizes four basic categories of IT benefits that differ significantly in the kinds and levels of faculty support services required.

I. Personal and institutional administrative productivity.

II. Enhancing traditional teaching.

III. Changing pedagogy.

IV. Changing content.

IT and the Corporate

Quest for Productivity

In case you missed it, the Industrial Age passed into the Information Age in 1991: that's the year, according to a recent report in Fortune, that corporate spending on IT surpassed corporate investment in manufacturing technology.

But has the corporate investment spurred great gains in productivity? Alas, no, much to the surprise (and disappointment) of many analysts. Several recent studies suggest that the contribution of IT to corporate productivity has been marginal, at best. One example: Harvard's Gary Loveman, studying manufacturing companies in the US and Western Europe, reports that "IT capital had little, if any marginal impact on output or labor productivity, whereas all other inputs into production - including non-IT capital - had significant positive impacts."

Why no big productivity bang for the bucks? As reported recently in BusinessWeek (January 16, 1995), research by two economists - by Daniel E. Sichel at the Brookings Institution and Stephen D. Olinerat the Federal Reserve - reveals that computers and peripheral equipment contributed at best only one tenth of the growth in business output between 1987 and 1993. Sichel and Oliner speculate that the reason computers contribute so little to growth despite what BusinessWeek calls the "digital explosion" of the past 15 years is that the installed base of computers represents a tiny share - just two percent - of the nation's total capital stock.

The two economists also note that the short half-life of IT resources, coupled with corporate amortization policies, also reduce economic growth linked to technology investments. Says Sichel: "I'm not suggesting computers haven't brought about efficiency gains for individual corporations. It's just not the story for the economy as a whole." Sound familiar?

The first category, individual productivity, reflects IT applications that have no direct effect on the teaching or learning experiences of current faculty or students. Word- processing, spreadsheets, and electronic mail are good examples of individual productivity. So too does automated course registration systems. These are examples of productivity gains that have minimal impact on what or how things are taught and learned. Faculty support services needed in this category are primarily technical, largely introductory training, plus hardware and software maintenance.

Campus efforts to enhance traditional teaching (category II), include the broad effort underway at campuses across the country "to wire" classrooms with computers and projection devices. Showing a rotating 3-dimensional image of a molecule or cross- section of a human brain adds to the quality of content and communication in class without necessarily changing the underlying teaching approach or curriculum. Faculty support services needed in this category are primarily technical: introductory training and hardware maintenance, plus discipline-specific or course- specific guidance about the availability and acquisition of computer-based materials.

Changing pedagogy, the third category, draws on many issues raised by Kozma and Johnston, cited above. Good examples here include supplementing science experiments with computer-based simulations (such as A.D.A.M) or the use of networked computers to exchange drafts and editorial comments in English composition courses. Additionally, this category might also include distance education initiatives, which must acknowledge the difference between students being present in a conventional classroom and participating via telecommunications. Faculty support services needed in this category include the technical: intro-ductory training and hardware maintenance. However, discipline-specific or course-specific guidance about the availability and acquisition of computer-based materials is essential. Also important is the availability of introductory and training materials and services to enable faculty members to understand how they can modify their course preparation and conduct. As faculty pursue these options more extensively it also becomes necessary to involve other campus services such as the library and bookstore in helping to find, select, and make available for convenient and effective student use new combinations of traditional books and reprints and new media such as computer software, CD-ROMs, and Internet access.

The fourth category, changing content, represents the "final frontier." In some disciplines the use of information technology in the research and field work has already changed how scholars think of their work and the focus of their activities (e.g., textual analysis, mathematical proof by exhaustion of all options). In other areas, scholars have discovered that information technology now permits them to represent and manipulate information and ideas in ways that were nearly impossible previously (e.g., Geographical Information Systems, theatrical lighting designs, musical notation and performance). In both cases, scholars believe they must teach the "new" material and that they must engage their students in using the relevant technology. In this context, IT becomes both the reason for and means of changing curriculum content. Faculty support services needed in this category are even beyond those described for category three. Faculty need to be working with publishers, disciplinary associations, and peer-groups to revise the curriculum and make sure teaching and learning materials reflecting the changes in content and use of technology are appropriately available.

And what about productivity? There is only one category in this framework (THE FIRST!) where productivity gains (reduced costs, enhanced quality, broader access to learning) are readily achievable. The other categories offer improvements and increased value, but usually in conjunction with substantially increased investment and support costs. In sum, there is still no instructional equivalent of the calculator replacing the slide- rule.9

* * * * *

This review suggests that content, curriculum, and communications - rather than productivity - are the appropriate focus of and rationale for campus investments in IT. But even if this argument is compelling, we must still be careful not to foster inappropriate expectations. IT enthusiasts must avoid irritating too many people by making too many promises that cannot be kept. Technology advocates must sustain the good will and realistic expectations of a wide audience of information consumers and providers so that all participants in the educational enterprise will be, at minimum, cautiously receptive when the next course-specific application of great potential comes along and when the first great across-the-board instructional tool comes along.

There is also still much to learn about the costs and benefits associated with bringing a group of people into the same place (classroom) at the same time vs. having them interact using computers, video, and telecommunications. Each institution, department, and faculty member must find the right balance in forming combinations of traditional practices and materials with new ones.

These are important issues for higher education. Advocates and evangelists must make promises carefully, managing both expectations and limited financial resources with great care. We must be honest with ourselves, our sponsors, and our clientele about the applications and limits of information technology. The academic enterprise can do great things with and will experience significant benefitsfrom information technology. But it won't be cheap, and it will not save money soon. The IT investment, however, will make a qualitative difference in the way we teach, the materials we teach with, the structure of the college curriculum, the learning experience for students, and how we exchange information - both with colleagues and also as faculty interacting with students. Goals and aspira-tions for quality and academic productivity will be achieved only over many years and ony through developing and providing the right combinations of:

These are not small challenges. But they are also important challenges which higher education must address with realistic expectations and objectives, mindful about real costs, attentive to the capacity to deliver, and focused on the needs of an increasingly heterogeneous clientele in a rapidly changing world.