Skip to main content
Article thumbnail
Location of Repository

How accurately do instructors judge students’ attitudes online? A measurement of expectations and level of satisfaction with an Online Information Systems masters program

By Lauren‐Nicole Macht and Jenny Preece

Abstract

In order to run a successful educational program, instructors as well as staff members must constantly review and adapt to the expectations, concerns, demographics and satisfaction level of their student consumers. This study was conducted in order to examine these issues in an online educational setting. First, interviews were given to the program instructors in order to determine their opinions about the students’ expectations and satisfaction levels. This information was then used to create a student survey that assessed the students’ expectations and level of satisfaction. These two sets of results were then compared This comparison revealed that the online instructors did have a good grasp of the online students’ expectations, concerns, demographics and satisfaction level. The only areas where the instructors’ concepts of student views were slightly less accurate was student concerns and student feelings about the program administration, where the instructors overestimated the level of concern the students had about successfully returning to the learning environment and underestimated the students’ satisfaction with the program's administration. This leads us to conclude that, even with the added online factor, instructors strongly understand student expectations, satisfaction levels, demographics and concerns

Topics: LB Theory and practice of education, LC1022 - 1022.25 Computer-assisted Education
Publisher: University of Wales Press
Year: 2002
DOI identifier: 10.1080/0968776020100306
OAI identifier: oai:generic.eprints.org:390/core5

Suggested articles

Citations

  1. (1995). Learning Networks: A Field Guide to Teaching and Learning Online, doi
  2. (1994). The Virtual Classroom: Learning without Limits via Computer Networks, Human-Computer Interaction Series, doi
  3. (1998). Digital diploma mills: the automation of higher education', doi
  4. (1996). Usability and learning: evaluating the potential of educational software', doi
  5. (1999). Predicting quality in educational software: evaluating for learning, usability, and the synergy between them',

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.