Instructors’ Perceptions of Intelligent Tutoring Systems and Their Implications for Studying Computer Programming in Omani Higher Education Institutions

Lamiya Al-Shanfari*, Shubair Abdullah, Tarek Fstnassi, Sultan Al-Kharusi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

It is a serious problem that universities worldwide, especially in the middle east, have a high rate of failure in programming courses. To overcome this issue which could probably be due to students’ lack of engagement, motivation and problem-solving skills, the Intelligent Tutoring System (ITS) can be an effective tool for enhancing student learning. Despite its effectiveness, no prior research has been conducted on the impact of using ITS in higher education institutions in Oman. This study therefore investigates the perceptions of Omani University instructors to determine the levels of awareness, readiness and challenges among Omani higher institutions concerning their integration of ITS. Also, to investigate the reasons for the poor achievement of students in programming courses. We adopted two approaches in this study. First, quantitative research was conducted via a 5-point Likert scale questionnaire distributed to 59 programming instructors from different higher education institutions. Second, quantitative research interviewed 10 instructors. Our questionnaire data reveals that most of the participants are aware of ITS’ effectiveness in the learning process. They believe that Oman’s higher education institutions are ready to adopt ITS if sufficient training and support is provided. Via text mining, our interview data illustrates the reasons behind poor performance in programming courses which includes English language barriers, deficient critical thinking, lack problem-solving skills and inadequate modes of teaching. This study clarifies the situation of higher educational institutions in terms of their awareness, redness and the challenges that they may face in adopting ITS.

Original languageEnglish
Pages (from-to)947-967
Number of pages21
JournalInternational Journal of Membrane Science and Technology
Volume10
Issue number2
DOIs
Publication statusPublished - Jun 21 2023

Keywords

  • Artificial intelligence
  • Computer assisted learning
  • E-learning
  • Intelligent tutoring system
  • Programming fundamentals

ASJC Scopus subject areas

  • Biochemistry
  • General Materials Science
  • Physical and Theoretical Chemistry
  • Filtration and Separation

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