Learning styles preferences, personality characteristics, gender and age of computer information systems students

Lisa Kovalchick, Alan Peslak, Paul Kovacs, Wenli Wang

Research output: Contribution to journalArticlepeer-review

Abstract

This study investigates the learning styles preferences and learning personality characteristics of students enrolled in computer information systems courses. The aim is to explore the possible relationships between these learning styles and characteristics and the gender and age of the subjects. The study utilized a survey to collect data from 131 undergraduate and graduate students enrolled in computer information systems courses at three universities. The results of the study concluded that the majority of the students exhibited a hands-on learning style and found classroom interaction only partially useful. In addition, the majority of students were able to prioritize their work, did not need direct supervision, and were skilled at time management. However, these findings are not universal and have variances and demographic differences. These findings are useful for computer information systems educators in designing teaching strategies that cater to different learning styles and to improve students' academic performance within computer information systems courses.

Original languageEnglish (US)
Pages (from-to)333-346
Number of pages14
JournalIssues in Information Systems
Volume24
Issue number3
DOIs
StatePublished - 2023

All Science Journal Classification (ASJC) codes

  • General Business, Management and Accounting

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