Beginning the Third Decade

When did you buy your first computer? Where did you buy it? How much did you pay for it? When did you send your first e-mail? First visit the Web? Make your first purchase from Amazon? First cite a URL in a blibiography or a course syllabus?

These seemingly simple questions reveal a lot about our individual and institutional odyssey in the world of information technology. The nascent microcomputers of the late 1970s and early 1980s, including the first IBM PCs and Macintosh computers, introduced what Steve Gilbert and I tagged in a 1985 Change magazine article as “The New Computing in Higher Education.”

It has, indeed, been a journey. Technologies that did not exist or were simply emerging in 1985—personal computers, notebook computers, cell phones, PDAs, and the Web—today have moved from incidental to essential. These technologies, and others now emerging (for example, wireless) have made the transformation from costly conveniences to compelling, inexpensive, and ubiquitous necessities.

We—and our students—want and expect more: more technology tools, more digital content, more resources, more stuff!

That said, there is no question that our aspirations for information technology continue to exceed our individual and institutional capacity to innovate with and integrate technology into instruction and operations. The early adopters among us seem to integrate, effortlessly, all the emerging tools and technologies. In contrast, the rest of us are engaged in a continuing game of digital catch-up.

But even as our reach exceeds our grasp, what we can—indeed should—ask is, “how far we have come over the past two decades?” And we should also ask about the distance we have to go.

The easy metrics involve individuals and individual work: if you (like me!) are “middle-aged” and “mid-career” (somewhere between 40 and 65), the digital shadows of IT are everywhere: e-mail, word processing, PowerPoint presentations, course management systems, and instant messaging, coupled with the emerging ubiquity of wireless technologies and video, all serve as constant reminders of how much the work environment in academe (and elsewhere) has changed over the past two decades.

The Web, in particular, has dramatically enhanced, what was until about 1995, the largely unconnected desktop computer. The explosive growth of the Web has provided fingertip (well, keyboard) access to an incredibly rich and constantly growing array of resources that reside well beyond my office and time zone.

But for those of us in academe, there are also the instructional and operational aspects of technology. Here the critical issues are far more difficult to measure: instructional infrastructure and curricular deployment, as well as classroom and organizational impacts and outcomes.

Up close and personal, I think about the experiences of my son and daughter, one a college junior, the other heading off to college in fall 2004. They learned about computers in elementary and middle school, and were sent to the Web for information and resources for their class projects and term papers by the time they hit their teens. Their teachers and professors have used PowerPoint presentations in class and have included URLs in the syllabus. My children have textbooks that include CDs. A course management system seems to be widely used at my son’s college.

But are their classrooms—and is the classroom experience—so different from what I experienced as an undergraduate three decades ago? To be sure, some of the physical trappings are different: LCD projectors have replaced overhead projectors and many students take notes on computers or PDAs. But the “in-class, on-task” activities seem remarkably similar to my own experiences as a college student: lectures, group discussion, and student presentations.

So how, then, do we address the continuing questions about technology and instruction? What are the appropriate metrics for tracking the instructional integration of information technology? Number of URLs in the syllabus? Use of a course management system? Online content and assessment? Number of PowerPoint presentations? Hits on the course Web site and average session time?

Do efforts to quantify aspects of IT in instruction accurately reflect the all-important qualitative dimensions and impact of IT in the curriculum?

These are really important questions. Alas, we in the campus community don’t have very good answers. As I stated in last month’s column, too often the best we can offer is evidence by epiphany.

So here’s my prediction: much as the past two decades have been marked by academe’s great aspirations for the role of technology in instructions and operations, this decade may be marked by efforts to make institutions accountable for the continuing (and rising) investment in IT. Inquiring minds—board members and public officials, parents, and even some faculty—will focus on two questions: (1)Why don’t faculty do more with technology? and (2) Why don’t colleges and universities make better use of information technology in campus operations and services?

As we enter the third decade of the “computer revolution” in higher education, these seem like fair, timely, and, yes, admittedly difficult questions that we in the campus community will have to address.

Featured

  • glowing blue nodes connected by thin lines in an abstract network on a dark gray to black gradient background

    Report: Generative AI Taking Over SD-WAN Management

    In a few years, nearly three quarters of network operators will use generative AI for SD-WAN management, according to a new report from research firm Gartner.

  • abstract pattern with interconnected blue nodes and lines forming neural network shapes, overlaid with semi-transparent bars and circular data points

    Data, AI Lead Educause Top 10 List for 2025

    Educause recently released its annual Top 10 list of the most important technology issues facing colleges and universities in the coming year, with a familiar trio leading the bunch: data, analytics, and AI. But the report presents these critical technologies through a new lens: restoring trust in higher education.

  • abstract image representing AI tools for reading and writing

    McGraw Hill Introduces 2 Gen AI Learning Tools

    Global education company McGraw Hill has added two new generative AI tools to help personalize learning experiences for both K–12 and higher ed students, according to a news release.

  • abstract image of fragmented, floating geometric shapes with holographic lock icons and encrypted code, set against a dark, glitchy background with intersecting circuits and swirling light trails

    Education Sector a Top Target for Mobile Malware Attacks

    Mobile and IoT/OT cyber threats continue to grow in number and complexity, becoming more targeted and sophisticated, according to a new report from Zscaler.