The Integration of AI in Classroom Teaching: Impacts on Pedagogy and Student Engagement

Abstract

The use of AI in classroom learning has become one of the developments in innovation whereby the incorporation of technology in class learning has revolutionized teaching and learning processes in educational institutions. Intelligent tutoring systems, personalized learning platforms, and adaptive assessments have been used in an attempt to make the learning process more effective through the use of technology. Thus, the transition from the traditional practice of teacher-centered instruction to at least student-centered aided by Artificial Intelligence opens up the possibility of both more interest, and better results in learning, specifically regarding diverse students. Thus, there is a kind of concern that arises half-bored with the use of AI in education, such as the concern with teachers’ autonomy, data privilege, and the potential of educators’ de-skilling. In this research, the effects of using AI in teaching and learning processes are examined through a qualitative questionnaire that was developed to capture the respondents’ experiences and attitude towards the use of AI tools in teaching and learning environments. The findings show that participants had positive attitudes towards the specific use of AI in academic settings by providing a more individualized learning environment and making students attentive, decisive, and diligent; however, the participants expressed various concerns about the ethical issues that could occur such as improper use of data and algorithmic racism. Lastly, potential concerns regarding AI and its deployment is discussed, and the importance of installing AI responsibly is underscored.