AI, Learning Theories, and the Future of Teaching: A Critical Philosophical Analysis

Abstract

Artificial intelligence (AI) at this time and era cannot be ignored. However, this paper tries to philosophically take a look, criticizing and analyzing how best we can incorporate the AI tutor with the human teacher by discussing the learning theories and myths surrounding AI. The paper argues that AI has the potential to redefine existing fear and incorporate the AI by using the different learning theories and analyzing how they can be integrated with human and AI tutors. The paper looks at the behavioral theory of learning, which is a psychological perspective, and constructivism and progressivism theories being the foundations of education philosophy and how they relate to the future of education. AI applications like ChatGPT have the potential to provide the learner with adaptive and personalized learning experiences that will help the learner align with these learning theories. However, AI has the potential to redefine future learning, but it should not be allowed to control the human teacher, as it can automate the learning, but the shaping of behavior and class control can only be best done by a human teacher. This paper offers recommendations for how teachers can effectively incorporate AI into teaching. The data collected is from using secondary data analyses. The objective: To critically analyze various learning theories and examine how they can be effectively integrated into teaching and learning practice. The paper uses the philosophical methodology to analyze the findings; hence, it relies on critical analysis to analyze data. This paper concludes by emphasizing the importance of approaching the integration of AI in learning with caution and a critical perspective.