Indicators of success in distance education.
Distance education offers many advantages to students, faculty, and educational institutions. Despite these advantages, distance education classes historically have higher dropout rates than do the courses taught in the traditional, face-to-face setting. Current research includes information related to technology, teaching tips, and resources for these extended learning opportunities. However, information related to student success in distance education is limited and success indicators are poorly defined. Current studies on success indicators often lack a defining framework that provides an opportunity for study replication and strengthens the credibility of study findings. An empirical model developed by Powell et al divides potential determinants of success into three categories. This literature review identifies indicators in each category and indicates a need to revise the current framework to include technology as a fourth category. The revised framework should provide a basis for additional research in this rapidly growing area.
Kreideweis
Judy
J
College of Nursing, Northwestern State University, Natchitoches, LA, USA. jkreideweis@worldnet.att.net
D001291:Attitude of Health Personnel; D003194:Computer-Assisted Instruction; D020375:Education, Distance / Q000592:standards*; D004506:Education, Nursing / Q000592:standards*; D018961:Educational Technology; D005181:Faculty, Nursing / Q000458:organization & administration; D006301:Health Services Needs and Demand; D006801:Humans; D020407:Internet; D007400:Interprofessional Relations; D008016:Life Change Events; D017145:Models, Educational; D008960:Models, Psychological; D015402:Nursing Education Research / Q000379:methods*; D015279:Organizational Culture; D010379:Peer Group; D015397:Program Evaluation / Q000379:methods*; D011588:Psychology, Educational; D012944:Social Support; D012959:Socioeconomic Factors; D013332:Student Dropouts / Q000523:psychology / Q000706:statistics & numerical data; D013338:Students, Nursing / Q000523:psychology / Q000706:statistics & numerical data; D013685:Telecommunications