ENHANCING BAU DISTRICT TEACHERS’ INTEREST, CONFIDENCE, AND COMPETENCE IN ACTION RESEARCH REPORT WRITING WITH KIT_AIkt
This study evaluates teachers’ perceptions, improvements in efficiency, and confidence in conducting action research using KIT_AIkt, an artificial intelligence-based toolkit designed to facilitate the implementation and reporting process. The kit includes song QR codes, Blooket games, video tutorial, AI ethics guidelines, and a series of action research prompts as teacher references. The focus of the study was teachers in the Bau District Education Office, who were identified as having low interest and limited skills in conducting action research. Six teachers from various subjects, including Science, Mathematics, Malay, English, and Preschool, were selected as respondents. The study employed both qualitative and quantitative approaches through semi-structured interviews, Likert-scale questionnaires, and document analysis. Findings revealed significant improvements in teachers’ interest, confidence, and competence after using KIT_AIkt. Key advantages included time savings, clear guidance, and more systematic report production. Although initial challenges arose, especially among less experienced teachers, the step-by-step support within the kit helped overcome these barriers. The most notable achievement was that all six teachers successfully participated in the 2025 Sarawak Zone Digital Education Policy Action Research Convention, involving 126 participants. Two teachers, one from Preschool and one from English, qualified for the final round, to be held on 29 July 2025 at Universiti Malaysia Sarawak (UNIMAS). This study demonstrates that KIT_AIkt effectively strengthens reflective practices, enhances teacher professionalism, and recommends its wider adoption with continuous improvements based on user feedback.
Authors
- Steven Chin (ORCID: https://orcid.org/0000-0002-0807-9097)
- Huong Ha (ORCID: https://orcid.org/0000-0002-0608-3017)
- M. Dahlan
- Charles Bayang Anak Albert Nyawin
- Saibi Lehi
Institutions
- Chung Hua University (TW)
- Singer (United States) (US)
Publication Details
- Journal
- International Journal of Modern Education
- Published
- 2025-10-27
- DOI
- https://doi.org/10.35631/ijmoe.727042
- Primary Topic
- E-Learning and COVID-19
- Type
- article
- Field-Weighted Citation Impact
- 0.00