AI-Powered Teaching Learning Development Tools for Professors: Opportunity & Challenge

This study explores the opportunities and challenges associated with the integration of AI-powered teaching-learning development tools among educators. Adopting a mixed-methods approach, the research combines quantitative data from a survey of 150 teachers and qualitative insights from 15 semi-structured interviews with educators and AI experts. The findings reveal that AI-based assessment tools, virtual assistants, and adaptive learning platforms are the most commonly used technologies, enhancing teaching efficiency and student engagement. Teachers generally perceive AI positively, particularly in terms of its ability to personalize instruction and streamline repetitive tasks. However, significant barriers to adoption remain, including a lack of professional training, inadequate infrastructure—especially in rural areas—and time constraints related to integration efforts. Statistical analysis shows that institutional context and teaching experience influence educators' perceptions, with college faculty and less experienced teachers displaying higher receptivity to AI tools. Qualitative data further underscores that while AI is welcomed as a supportive resource, it is not seen as a replacement for human educators. The study concludes that for effective and sustainable AI integration, educational institutions must invest in training, infrastructure, and support systems while maintaining the teacher’s central role in the learning process.