The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Automated Generation of Course Improvement Plans Using Expert System
|
|
Author(s): Muhammad Hasan Imam (Umm Al-Qura University, Makkah, Saudi Arabia), Imran Ali Tasadduq (Umm Al-Qura University, Makkah, Saudi Arabia), Abdul-Rahim Ahmad (Prince Sultan University, Riyadh, Saudi Arabia), Fahd Aldosari (Umm Al-Qura University, Makkah, Saudi Arabia)and Haris Khan (Binary Vibes, Karachi, Pakistan)
Copyright: 2017
Volume: 6
Issue: 1
Pages: 12
Source title:
International Journal of Quality Assurance in Engineering and Technology Education (IJQAETE)
Editor(s)-in-Chief: Arun Patil (Amity University Rajasthan, India)
DOI: 10.4018/IJQAETE.2017010101
Purchase
|
Abstract
To satisfy ABET's continuous improvement criterion, an instructor, teaching a course suggests, at the end of the course, an improvement plan to be implemented when the same course is taught next time. Preparation of such a course improvement plan may be mandatory if a pre-specified target level of students' learning is not attained. Since, manual preparation of a course improvement plan is difficult, an idea of generating it using an expert system is presented. The objective is to make the task of improvement plan preparation easier and enjoyable. The proposed expert system has a set of remedies and a set of rules in a data base. A web-based interface queries the instructor about teaching and assessment tools used in the course. The inference engine selects the most appropriate remedy based on instructor's preferences. A cloud implementation of the expert system has been used to test it for a course.
Related Content
|
Anirudh Singh, K. C. Mondal, N. Veerababu, Akoju Ramadevi, N. Rao Elisela.
© 2021.
14 pages.
|
|
Ilknur Sayan.
© 2021.
10 pages.
|
|
Aditi D. Joshi, Surendra M. Gupta.
© 2021.
23 pages.
|
|
Richie Moalosi, Jacek Uziak, Yaone Rapitsenyane.
© 2021.
19 pages.
|
|
Abdulrauf Tosho.
© 2019.
10 pages.
|
|
Margaret L. Niess, Terry L. Rooker.
© 2019.
14 pages.
|
|
Miiro Farooq.
© 2019.
17 pages.
|
|
|