International Journal on Science and Technology

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Call for Paper Volume 17 Issue 2 April-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
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Volume 17 Issue 2
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Generative AI as a Teaching Assistant: A Theoretical Analysis of Its Role in Enhancing Python Programming Learning Outcomes

Author(s) Ms. Nasheeda k v
Country India
Abstract The fast development of artificial intelligence has dramatically changed the way education is conducted, especially in the education of programming where the conceptual complexity and diversity of learners are important challenges. This theoretical paper explores how generative AI can be used as a learning assistant to enhance the learning outcomes of Python programming. Based on well-known theories of learning like constructivism, cognitive load theory, and self-regulated learning, the paper discusses how artificial intelligence-driven tools can support customized learning, real-time feedback, and dynamism. Python is among the most commonly taught programming languages and offers a perfect setting to comprehend the pedagogical consequences of integrating AI. The paper also discusses the advantages and disadvantages of generative AI in education, such as the problems of academic integrity, over-reliance, and ethics. The results imply that generative AI has significant potential to improve programming understanding, problem-solving abilities, and learner engagement when used with consideration. The article adds to the existing debate on AI-supported learning, and offers theoretical resources to educators, researchers, and policymakers interested in using AI technologies in programming education.
Keywords Generative AI, Python programming, learning outcomes, teaching assistant, adaptive learning, educational technology
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-05-03
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