Adoption and Impact of Generative AI on Teaching Strategies Among Community College Educators

Author Information

Siti Shuhaili binti Mohamad Moha, Temerloh Community College, Malaysia
Mohd Fazli Khaisunizam bin Ismail, Temerloh Community College, Malaysia

Abstract

This study investigates the adoption and impact of Generative Artificial Intelligence (GenAI) on teaching strategies among community college educators in Pahang, Malaysia. Guided by technology acceptance and pedagogical change perspectives, the research examines (i) the level of GenAI adoption, (ii) its relationship with teaching strategy transformation, (iii) perceived benefits and challenges, and (iv) demographic influences on adoption and impact. A quantitative cross-sectional survey design was employed, involving 132 lecturers selected through stratified random sampling. Data were collected using a structured questionnaire measuring GenAI adoption, perceived instructional impact, and benefits and challenges. Descriptive statistics, Pearson correlation, t-tests, and one-way ANOVA were used for analysis. Findings indicate a high level of GenAI adoption (all mean scores > 4.00), with strong internal reliability of measurement scales. A significant and strong positive correlation (r = 0.867, p < .01) was found between GenAI adoption and perceived impact on teaching strategies, suggesting that higher usage is associated with greater instructional adaptation in planning, delivery, assessment, and feedback. Major challenges include limited access to AI tools, ethical concerns, and risk of student over-dependence, while the most requested support involves clear guidelines and structured professional development. Teaching experience significantly influenced adoption levels, although no significant differences were found in perceived instructional impact. The study highlights the need for systematic governance, capacity-building, and responsible integration frameworks to sustain effective GenAI-enabled teaching practices in community college contexts.

Save as a Favourite