Combination of fuzzy and cognitive theories for adaptive e-assessment

作者：

Highlights：

• Novel framework for dynamic test item selection for adaptive e-assessment.

• Student modeling using the cognitive theory of Revised Bloom Taxonomy.

• Rule-based fuzzy reasoning for delivering distinct test items to students.

• Implementation of expert system and evaluation using an established framework.

摘要

•Novel framework for dynamic test item selection for adaptive e-assessment.•Student modeling using the cognitive theory of Revised Bloom Taxonomy.•Rule-based fuzzy reasoning for delivering distinct test items to students.•Implementation of expert system and evaluation using an established framework.

论文关键词：Adaptivity,E-assessment,E-learning,Cognitive theories,Fuzzy rules

论文评审过程：Received 5 September 2019, Revised 14 May 2020, Accepted 30 May 2020, Available online 6 June 2020, Version of Record 12 July 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113614