Policy Frameworks for Distance Education: Implications for Decision Makers
How can decision makers deal with the growing number of policy issues in the distance education arena? How can instructional managers comprehensively plan for the present and the future in a time of frequent flux and constant change? How can institutions structure a robust and proactive decision making environment around distance education? Are there policy making models to provide a foundation and to offer guidance to the decision maker in distance education? How can managers identify a policy making "zone?"
We believe there are such models and we will briefly describe one of them, a Policy Analysis Framework. We will also outline a shorter version, which may be worthwhile to some practitioners at the beginning of the distance education policy path. Not included here are models of communication and computing assessment (Rocheleau, 1996), project management (task, time, and resources, Strauss 1997), instructional development models (Gustafson and Branch 1997), or delivery models (McLendon and Cronk, 1999). The focus is on distance education and management.
A Policy Analysis Framework
Gellman-Danley and Fetzner (1998) proposed a powerful model to help decision makers look at the policy arena of distance education. They suggested seven elements for attention: 1) Academic, 2) Fiscal, 3) Geographic, 4) Governance, 5) Labor-Management, 6) Legal, and 7) Student Support Services. Based on this seven-item model, Berge (1998) added two more areas: 8) Technical, and 9) Cultural.
In a study of distance education policy in post-secondary institutions, King, Nugent, Russell, and Lacy (1999) adapted the Gellman-Danley and Fetzner and the Berge models. From these authors they generated a Policy Analysis Framework (Table 1) and determined that seven elements (Academic, Governance/Administration/Fiscal, Faculty, Legal, Student Support Services, Technical, and Cultural) label and categorize most distance education policies or policy related issues.
Derived from the previous models, the Policy Analysis Framework (PAF) combines arenas and shifts issues into stronger groupings. The PAF model identifies for decision makers essential, large policy areas ( e.g., technical) as well as particular activities in each area (e.g., setup concerns). While there may be more detailed and specific elements and components in a particular educational situation, we have found that this general PAF description is effective and functional when analyzing distance education policy (King, et al., 1999). We are also finding that the PAF is a constructive means for thinking about and managing distance education programs and courses. That is, the policy areas identified in the model are the predominant decision making areas in actuality. Thus, these seven areas are strategic management decision zones.
Table 1. Policy Analysis Framework for Distance Education
Policy Area Key Issues Academic Calendar, Course integrity, Transferability, Transcripts, Student/Course evaluation, Admission standards, Curriculum/Course approval, Accreditation, Class cancellations , Course/Program/Degree availability, Recruiting/Marketing
Tuition rate, Technology fee, FTEs, Administration cost, State fiscal regulations, Tuition disbursement, Space, Single versus multiple board oversight, Staffing Faculty Compensation and workload, Development incentives, Faculty training, Congruence with existing union contracts, Class monitoring, Faculty support, Faculty evaluation Legal Intellectual property, Faculty, Student and institutional liability Student Support Services Advisement, Counseling, Library access, Materials delivery, Student training, Test proctoring, Videotaping, Computer accounts, Registration, Financial aid, Labs Technical Systems reliability, Connectivity/access, Hardware/software, Setup concerns, Infrastructure, Technical support (staffing), Scheduling, Costs Cultural Adoption of innovations, Acceptance of on-line/distance teaching, Understanding of distance education (what works at a distance), Organizational values
(Adapted from Gellman-Danley and Fetzner, 1998; Berge, 1998)
These seven policy areas are fundamental to developing and managing distance education efforts. They seem to be consistent across many sectors (four year colleges, community colleges, etc.) and at many levels (department, college, system). The seven key policy areas in the PAF suggest places in administrators can intervene in the distance education system to make and manage change.
A Three-Tiered PAF
While the PAF can be a powerful organizing tool, it can be simplified to be more useful for individuals and institutions considering or just starting distance education programs or courses. A three tiered policy analysis and development system, shown in Table 2, evolved by compressing the seven policy areas of the PAF. With this simplified model, distance education policy can be studied by looking at large, sweeping areas such as: Students, Faculty, and Management and Organization.
While this second model is down-to-earth in that there are only three areas, it still offers the decision maker an expeditious way to think about the major issues of faculty, student support, and management of the educational process and the wide array of technological issues. The shorter PAF is a good tool for departments or units engaging in distance education. It can also be molded to fit within the full range PAF that the larger institution might use to plan and manage distance education
Table 2. Three Tiered Policy Analysis Framework for Distance Education
Policy Area Description Faculty (including Continuing Education and Cooperative Extension) Rewards (e.g., stipends, promotion and tenure, merit increases, etc.); Support (e.g., student help, technical assistance, training, etc.); Opportunities to learn about technology and new applications (e.g., release time, training, etc.); Intellectual property (e.g. ownership of materials, copyright, etc.) Students/Participants Support (e.g., access to technology, library resources, registration, advising, financial aid, etc.); Requirements and records (e.g., residency requirements, acceptance of courses from other places, transfer of credit, continuing education, etc.) Management and Organization
Tuition and fee structure; Funding formula;
Collaboration (e.g., with other Departments, units, institutions, consortia, intra-and inter-institutional, service areas, etc.); Resources (e.g., financial resources to support distance education, equipment, new technologies, etc.); Curricula/individual courses (e.g., delivery modes, course/program selection, plans to develop, individual sequences, course development, entire program delivery, interactivity requirements, test requirements, contact hour definitions, etc.)
These two models or tools, the seven step "Policy Analysis Framework for Distance Education" and the "Three Tiered Policy Analysis Framework for Distance Education" surface as practical decision making tools for planners and managers of distance education. While supporting tools for managing the distance education efforts can be found in Bates (2000), Davenport (1997), Freeman, (1997) Nardi and 0Day (1999), and Iasditi and MacCormack (1997), the Policy Analysis Framework described here is a way to conceptualize and manage the distance education system by incentives, openness, and structure.
Specifically, either or both models may be used to identify and inventory areas of strengths and weaknesses in existing distance education policies. We posit that developing policies in areas where weaknesses are found is the surest way to help assure that transition from near-randomly offered courses to full-fledged distance education programs that provide certification, licensure and degrees. Sound policies should lead to and support sound programs.
This project was sponsored in part by the University of Nebraska-Lincoln Agricultural Research Division. Project No. NEB-24-033.
Bates, A.W. 2000. Managing Technological Change. San Francisco: Jossey-Bass.
Berge, Z.L. 1998. Barriers to Online Teaching in Post-Secondary Institutions: Can Policy Changes Fix It? Online Journal of Distance Learning Administration. 1(2).(2/24/99)
Davenport, T.H. 1997. Information Ecology. New York: Oxford.
Epper, R.M. 1999. Excerpts from State Policies for Distance Education; A Survey of the States. State Higher Education Executive Officers (SHEEO). (http://www.sheeo.org/sheeo/pubs-excerpts-from-technology-survey.html). (3/31/99)
Frantz. G. and King, J.W. 2000. The Distance Education Learning systems Model (DEL). Educational Technology. 40(3): 33-40.
Freeman, R. 1997. Managing Open Systems. London: Kogan.
Gellman-Danley, B. and Fetzner, M.J. 1998. Asking the Really Tough Questions: Policy Issues for Distance Learning. Online Journal of Distance Learning Administration. 1(1). ( (2/24/99)
Gustafson, K.L. and Branch, R. M. 1997. Survey of Instructional Development Models. Syracuse Univ., Syracuse, NY: Clearinghouse on Information and Technology.
Iansiti, M. and MacCormack, A. 1997 (Sept.-Oct.). Developing Products on Internet Time. Harvard Business Review.108-117.
King, J.W., Lacy,D., McMillian, J., Bartels, K. and Freddolino, M. 1998. The Policy Perspective in Distance Education: A Futures Landscape/Panorama. Invited paper presented at the 1998 Nebraska Distance Education Conference. Lincoln, NE (September 28-29, 1998) ( (2/24/99)
King, J.W., Nugent, G.C., Russell, E. B., and Lacy, D. 1999. Distance Education Policy in Post-Secondary Education: Nebraska as a Case Study. In Proceedings: 15th Annual Conference on Distance Teaching and Learning. University of Wisconsin, Madision. 275-281.
McLendon, E. and Cronk, P. 1999. Rethinking Academic Management Practices: A case of meeting new challenges in online delivery. Online Journal of Distance Learning Administration. 2(1). ( http:www.westga.edu/~distance/mclendon21.html) (5/25/99)
Nardi, B.A. and ODay, V.L. 1999. Information Ecologies. Cambridge, MA: MIT.
Rocheleau, B. 1996 (Fall). Structures, Plans, and Policies: Do they make a difference? An initial assessment. CAUSE/EFFECT. 35-39.
Strauss, R. 1997. Managing Multimedia Projects. Boston: Focal.
James W. King is Associate Professor at the University of Nebraska, Lincoln, NE 68583.
Gwen Nugent is Director of Education, Nebraska Educational Telecommunications, Lincoln, NE, 68501 Email: email@example.com
Earl Russell is Professor at the University of Nebraska, Lincoln, NE 68583.
Jenni Eich is a graduate student at the University of Nebraska, Lincoln, NE 68583.
Dara D. Lacy is a graduate student at the University of Nebraska, Lincoln, NE 68583 Email: firstname.lastname@example.org
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