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the academically decentralized/administratively centralized model

Changes in the institutional landscape may magnify competition among educational providers and allow new models and leaders to emerge.

Knowledge proliferation may increase content-breadth demands on higher education, spreading distance education resources ever thinner and complicating development decisions.

An NEA survey reported that faculty members’ top concern about distance education was that they will do more work for the same amount of pay, apparently a merited concern.

As long as distance education contributions are not considered in tenure and promotion decisions, and as long as professors have their own, traditional ways of delivering their courses, many faculty members will be reluctant to participate in online courses (Oravec, 2003). Concerning this reluctance, Dunn has predicted that many faculty members will revolt against technological course delivery and the emerging expectations their institutions will have of faculty members. Dunn forecast that some of the resistance will even be manifest through unionization and strikes (Dunn, 2000). Some have suggested the labor-intensive and time-consuming demands required to develop online modules as reasons for faculty resistance (Brogden, 2002).

The results of de Alva’s 2000 survey support this trend: governors rated “maintaining traditional faculty roles and tenure” as the least desirable characteristic of a twenty-first century university (p. 34).

Faculty members tend initially to try to use their conventional classroom methods to teach at a distance and then become frustrated when attempts are unsuccessful (Dasher-Alston & Patton, p. 14). In Green’s (2002) survey of the role

Distance education teams include administrators, instructional designers, technologists, and instructors/facilitators (Miller, 2001; Williams, 2003). The functions of instructors and facilitators then include being a “facilitator, teacher, organizer, grader, mentor, role model, counselor, coach, supervisor, problem solver, and liaison” (Riffee, 2003, p. 1; see also Roberson, 2002; Scagnoli, 2001). The role of faculty members in distance education requires “some specialized skills and strategies. Distance education instructors must plan ahead, be highly organized, and communicate with learners in new ways. They need to be accessible to students [and] work in teams when appropriate” (PSU, 1998, p. 4). Distance faculty members must be experts in maintaining communication, because there is increased demand for student interaction in distance learning (NEA, 2000). Finally, they may have to assume more administrative responsibilities than is true in a residential model (PSU, 1998).

“Rather than incorporating the responsibility for all technology- and competency-based functions into a single concept of ‘faculty member,’ universities are disaggregating faculty instructional activities and [assigning] them to distinct professionals” (Paulson, 2002, p. 124). Doing this involves a “deliberate division of labor among the faculty, creating new kinds of instructional staff, or deploying nontenure-track instructional staff (such as adjunct faculty, graduate teaching assistants, or undergraduate assistants) in new ways” (Paulson, 2002, p. 126

Online students are becoming an entirely new subpopulation of higher-education learners. They are “generally older, have completed more college credit hours and more degree programs, and have a higher all-college GPA than their traditional counterparts” (Diaz, 2002, pp. 1-2). For example, Diaz has noted that online students received twice as many A’s as traditional students and half as many D’s and F’s.

One result of the highly competitive e-learning market will be institutions that specialize in meeting particular niches in the market (Gallagher, 2003). Morrison and Barone (2003, p. 4) observed, “We can see the beginnings of the trend toward the unbundling of courses, credits, services, and fee structures.” Dunn foresaw a similar trend, predicting that “courseware producers will sell courses and award credits directly to the end user and thus, through intermediation, bypass the institutional middleman” (Dunn, 2000, p. 37). The transition may also blur the distinction between two- and four-year colleges and universities (Carr, 1999). In this context of greater “portability,” more educational “brokers” (e.g., Western Governor’s University, Excelsior College, Charter Oak State College, etc.) will exist (Pond, 2003). Further, as de Alva has asserted, “Institutional success for any higher education enterprise will depend more on successful marketing, solid quality-assurance and control systems, and effective use of the new media than on production and communication of knowledge” (de Alva, 2000, p. 40).

On a more formal note, online tests and quizzes can be constructed with an automatic grading capability that provides immediate feedback and references to text and class notes that explain the correct answers. Assignments, including grades and editorial comments, can be returned to students more promptly and usually with more detail than in the F2F environment.

They say that it is common for participants in online courses to develop a strong sense of community that enhances the learning process.

thrilled

The thinking, planning, research, learning, and effort that goes into constructing and teaching an online course has rejuvenated many faculty members who were frankly going through the motions after numerous years of teaching the same courses, semester after semester, in the same classroom environment.

The benefits of this practice were indicated by a pair of articles published in 2007 in the journals Science and Intelligence. The studies concluded that first-born children are more intelligent than their later-born brothers and sisters and suggested that their higher IQs result from the time they spend showing their younger siblings the ropes. Educators are experimenting with ways to apply this model to academic subjects. In an ingenious program at the University of Pennsylvania, a “cascading mentoring program” engages college undergraduates to teach computer science to high school students, who in turn instruct middle school students on the topic.