Designing a Model of Student Support in e-Learning Using Qualitative Content Analysis and Analytic Hierarchy Process

Abstract

Student support services, especially for students who study virtually, increase satisfaction, attract new students, complete the course, and improve overall student performance. Given the importance of student support in e-learning and the fact that student support models should be specific to the culture and economic conditions and technology of their context, the present study set to design a native model of student support in e-learning for post-graduate students. To conduct the research, first a systematic search was performed to extract the existing models of student support. Through forming an expert panel and rating the models, more compatible models with the context of Iran were selected. The interview questions were then extracted from the concepts of the models who scored the most in the expert panel session. In relation to the examples of student support, interviews were conducted with 22 university teachers, education officials, and post-graduate students studying in educational branches leading to a virtual degree of medical sciences. Using content analysis of codes, sub-categories and the resulting categories were extracted from the interviews. Finally, in the expert panel session, using the (analytic hierarchy process) AHP, the categories were prioritized and the model was designed. After analyzing the content of the interviews, four main categories, namely teaching and learning, interactions and communications, empowerment, and structural support were extracted and the final model of student support was designed using the opinions of e-learning instructors. Despite relatively similar similarities between the native model of student support for e-learning students and the existing models, this model, which is designed based on the needs of students and faculty and e-learning officials, places more emphasis on teaching, learning, interactions, and communications.