Volume 18, Number 1

AI-Assisted Gamified Tool for Bloom’s Taxonomy-Based Mathematics Assessment Design

  Authors

Siti Sabariah Abas , Nazirah Abd Hamid , Wan Malini Wan Isa , Mumtazimah Mohamad , Maizan Mat Amin , Universiti Sultan Zainal Abidin, Malaysia

  Abstract

English writing remains a key challenge in Malaysian primary ESL classrooms, where instruction often follows conventional approaches. This study evaluates a Computational Thinking (CT)-based English writing module developed for Year 5 pupils using the ADDIE model. The module integrates decomposition, pattern recognition, abstraction, and algorithmic thinking across eight thematic units. A quantitative survey involving 30 primary English teachers assessed the module’s format, content, accuracy, teaching–learning activities, and usefulness. Results showed high acceptance (overall M = 4.67, SD = 0.25), with format rated the highest (M = 4.79). Teachers indicated that the CT-integrated approach improved writing structure, increased engagement, and aligned with Common European Framework of Reference for Languages and the Malaysian national curriculum. Findings suggest that CT provides a promising framework for enhancing writing instruction. Future studies should investigate its effects on pupils’ writing outcomes and potential use in other language skills.

  Keywords

Artificial Intelligent, Gamification, Bloom’s Taxonomy, Mathematics Assessment, Focus Group Evaluation