Exploring Academic Perceptions and Challenges in AI Integration in Higher Education

This study explores the perceptions, intentions, and perceived barriers of academics regarding the integration of Artificial Intelligence (AI) in higher education. Utilizing qualitative data from structured online interviews, sentiment analysis was employed to determine the polarity and subjectivity of responses. The findings indicate a generally neutral to slightly positive outlook on AI's potential to enhance teaching and learning, particularly through personalized learning experiences and increased student engagement. However, significant challenges were identified, including technical and access issues, gaps in training and knowledge, data privacy concerns, and risks to academic integrity. Respondents provided constructive suggestions emphasizing the need for regular training, heightened ethical awareness, and robust institutional support. These results underscore the necessity for a balanced approach to AI integration, which leverages its benefits while addressing the associated challenges. Future research should focus on longitudinal studies to monitor changes in perceptions and barriers over time, assess the effectiveness of targeted training programs, and develop comprehensive AI policies that promote ethical and effective use in education.