Fuzzy knowledge-based system for calculating course difficulty based on student perception

Scientific paper - Original scientific paper

• Author: Matija Novak
• Author: Dijana Oreški
• Author's institution: University of Zagreb; Faculty of Organization and Informatics; (Department of Information Systems Development)
• Author's institution: University of Zagreb; Faculty of Organization and Informatics; (Department of Theoretical and Applied Foundations of Information Sciences)
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences

Abstract (english)

This research aims to develop a knowledge-based system used for calculating course difficulty and producing appropriate learning strategies for students. The system is based on fuzzy reasoning and attempts to contribute to the personalization of the learning process. After the description of the data collection process and the search for regularities in the data, we present the service interface. The knowledge- based system proposed in this paper can yield a number of benefits for both students and institutions: it motivates students to adopt a more practical and personalized approach towards learning and provides an independent learning procedure for both the student and the instructor

• Keywords (english): knowledge-based system; fuzzy logic; personalized recommendation; course difficulty
• Language: english
• Publication type: Scientific paper - Original scientific paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Published version
• Journal title: Computer applications in engineering education
• Numbering: vol. 24, no. 2, pp. 225-233
• p-ISSN: 1099-0542
• DOI: https://doi.org/10.1002/cae.21700
• URN:NBN: urn:nbn:hr:211:467727
• Publication: 2015
• Document URL: http://bib.irb.hr/781479
• Type of resource: Text
• Access conditions: Closed access
• Created on: 2017-12-04 19:09:14