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Frequently I find myself mentoring faculty and staff, both within and outside my school/university about designing new online programs, incorporating best practices for teaching online, as well as supporting online learners. Although I have learned many valuable lessons since I started teaching online in 2001 and directing an online graduate program in 2011, I recognize there will always be much to learn about teaching, learning, and managing a program online. Too often, however, administrators’ immediate focus when starting a new online program is on the instructors and “converting” face-to-face courses to online ones if the program already existed as a face-to-face program, and not also the resources needed to ensure quality marketing, communication, monitoring, and student support—all key factors to an online program’s success. Yet, a variety of high quality resources exist that can help administrators, faculty/instructors, and staff plan, design, develop, implement, and evaluate new online programs. Although there is no specific roadmap for any institution, organization, or corporation for creating an online program, the following resources might be helpful in determining one’s unique pathway for success.

Clearly each organization, corporation, or institution will have different procedures for starting an online program. Often a first step is a needs assessment and a marketing analysis that demonstrate a need for the online program. Subsequently, once a need is established, there are internal procedures that must be completed for approval—well before a program’s launch. For example, at George Washington University, any new programs must be approved at the school and university levels; however, there are many steps that must be completed before being approved at these levels (e.g., creation of a business plan and marketing analysis, among many other requirements). These required institutional procedures might also serve as a blueprint for how to go about creating the new online program. Similarly, companies often require a plan that includes the goals, objectives, budget, timelines, and procedures for offering professional development online. Numerous organizations have myriad materials available to support such endeavors. The following is a list of many such organizations:

Each of these holds conferences, publishes journals, and offers many other learning opportunities (e.g., webinars), which are also frequently free. Additionally, many also offer professional development and networking opportunities within these organizations. This is not a comprehensive list; even so, I have found these to be beneficial for initiating online learning programs.

One organization, the International Association for Online Learning, has developed a site entitled, How to Start an Online Learning Program: A Practical Guide to Key Issues and Policies (see: http://www.online-programhowto.org/). Although the International Association for Online Learning focuses on K–12 online and blended programs, this is an excellent resource that any organization or institution might wish to consider reviewing before starting a new online or blended program. Many of the issues and policies highlighted are pertinent to most organizations and institutions. The following steps are from an infographic that summarizes several major items to consider when implementing online programs:

  1. Clarify goals

  2. Get to know your state policy

  3. Get/hire the best people

  4. Consider partners

  5. Pick a platform

  6. Leverage online learning tools and capacity to blend schools

  7. Staffing

  8. Provide guidance on self-blends

  9. Marketing

  10. Budget (“How to start an online program,” n.d.)

The same infographic also includes eight key issues: (1) Funding, (2) Policies, (3) Budget/Staffing, (4) Administrative Systems, (5) Curriculum, (6) Teachers, (7) Students, and (8) Quality. Levy’s (2003) list of factors to consider (in higher education settings), consisted of: (1) Vision and Plans, (2) Curriculum, (3) Staff Training and Support, (4) Student Services, (5) Student Training and Support, and (6) Copyright and Intellectual Property. Some of these are evident in the Rovai Composite Persistence Model.

Rovai developed the composite persistence model in 2003. His model provides a framework for designing online programs that take into account factors that affect student persistence. Rovai’s model synthesizes and builds on Bean and Metzner’s (1985) and Tinto’s (1975, 1987, 1993) persistence models, which center on on-campus students (and not online ones). The model, as Figure 1 illustrates, consists of student characteristics and skills that affect student persistence even before applying for admission, as well as numerous internal and external factors that affect their persistence after admission. Comprehension and a plan for addressing these factors can help administrators and instructors of online programs and courses better understand and institute supports to help increase online students’ persistence, as well as help explain why they might or might not be achieving their goals. And, while this model is designed for online institutions of higher education, many of the factors also apply to other levels of education (i.e., K–12), as well as corporate, non-profit, and government settings.

Woman with long hair smiles, headshot framed closely. Labelled, Natalie B. Milman,  Associate Professor of EducationalTechnology, The George Washington University.
Associate Professor of Educational Technology, The George Washington University, 2134 G ST, NW, Washington, DC 20052. Telephone: (202) 994-1884.

Bean
,
J. P.
, &
Metzner
,
B.
(
1985
).
A conceptual model of nontraditional undergraduate student attrition
.
Review of Educational Research
,
55
(
4
),
485
540
.
How to start an online program [infographic]
. (n.d.).
Retrieved from
http://digitallearning-now.com/site/uploads/2014/05/Online-Learning-How-to-Start-Infographic.pdf
Levy
,
S.
(
2003
,
March
20
).
Six factors to consider when planning online distance learning programs in higher education
.
Online Journal of Distance Learning Administration
,
6
(
1
).
Retrieved from
http://www.westga.edu/~distance/ojdla/spring61/levy61.html
Rovai
,
A. P.
(
2003
).
In search of higher persistence rates in distance education online programs
.
Internet and Higher Education
,
6
,
1
16
.
Tinto
,
V.
(
1975
).
Dropout from higher education: A theoretical synthesis of recent research
.
Review of Educational Research
,
45
(
1
),
89
125
.
Tinto
,
V.
(
1987
).
Leaving college
.
Chicago, IL
:
University of Chicago Press
.
Tinto
,
V.
(
1993
).
Leaving college: Rethinking the causes and cures of student attrition
.
Chicago, IL
:
University of Chicago Press
.
Licensed re-use rights only

Data & Figures

Figure 1
Flowchart of factors influencing student persistence with boxes for characteristics, skills, external factors, needs, and pedagogy.The diagram presents a flowchart illustrating factors influencing student persistence after admission. It is divided into several rectangular boxes connected by arrows, each representing different categories. On the left, a box labeled “Student Characteristics (Tinto and Bean & Metzner)” lists factors like age, ethnicity, gender, intellectual development, academic performance, and academic preparation. Below it, another box titled “External Factors (Bean & Metzner)” includes aspects such as finances, hours of employment, family responsibilities, outside encouragement, opportunity to transfer, and life crises. Both boxes have arrows pointing towards a central box labeled “After Admission.” The central box contains columns labeled “(Tinto),” “Student Needs,” “(Bean & Metzner),” and “Pedagogy.” The “(Tinto)” column lists academic integration, social integration, goal commitment, institutional commitment, and learning community. The “Student Needs” column includes clarity of program, self-esteem, identification with school, interpersonal relationships, and accessibility to services. The “(Bean & Metzner)” column features study habits, advising, absenteeism, course availability, program fit, current GPA, utility, stress, satisfaction, and commitment. The “Pedagogy” column lists learning styles and teaching styles. An arrow from the central box points to another box on the bottom left labeled “Persistence Decision.”

Rovai’s Composite Persistence Model.

Figure 1
Flowchart of factors influencing student persistence with boxes for characteristics, skills, external factors, needs, and pedagogy.The diagram presents a flowchart illustrating factors influencing student persistence after admission. It is divided into several rectangular boxes connected by arrows, each representing different categories. On the left, a box labeled “Student Characteristics (Tinto and Bean & Metzner)” lists factors like age, ethnicity, gender, intellectual development, academic performance, and academic preparation. Below it, another box titled “External Factors (Bean & Metzner)” includes aspects such as finances, hours of employment, family responsibilities, outside encouragement, opportunity to transfer, and life crises. Both boxes have arrows pointing towards a central box labeled “After Admission.” The central box contains columns labeled “(Tinto),” “Student Needs,” “(Bean & Metzner),” and “Pedagogy.” The “(Tinto)” column lists academic integration, social integration, goal commitment, institutional commitment, and learning community. The “Student Needs” column includes clarity of program, self-esteem, identification with school, interpersonal relationships, and accessibility to services. The “(Bean & Metzner)” column features study habits, advising, absenteeism, course availability, program fit, current GPA, utility, stress, satisfaction, and commitment. The “Pedagogy” column lists learning styles and teaching styles. An arrow from the central box points to another box on the bottom left labeled “Persistence Decision.”

Rovai’s Composite Persistence Model.

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Supplements

References

Bean
,
J. P.
, &
Metzner
,
B.
(
1985
).
A conceptual model of nontraditional undergraduate student attrition
.
Review of Educational Research
,
55
(
4
),
485
540
.
How to start an online program [infographic]
. (n.d.).
Retrieved from
http://digitallearning-now.com/site/uploads/2014/05/Online-Learning-How-to-Start-Infographic.pdf
Levy
,
S.
(
2003
,
March
20
).
Six factors to consider when planning online distance learning programs in higher education
.
Online Journal of Distance Learning Administration
,
6
(
1
).
Retrieved from
http://www.westga.edu/~distance/ojdla/spring61/levy61.html
Rovai
,
A. P.
(
2003
).
In search of higher persistence rates in distance education online programs
.
Internet and Higher Education
,
6
,
1
16
.
Tinto
,
V.
(
1975
).
Dropout from higher education: A theoretical synthesis of recent research
.
Review of Educational Research
,
45
(
1
),
89
125
.
Tinto
,
V.
(
1987
).
Leaving college
.
Chicago, IL
:
University of Chicago Press
.
Tinto
,
V.
(
1993
).
Leaving college: Rethinking the causes and cures of student attrition
.
Chicago, IL
:
University of Chicago Press
.

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