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@article{184602,
        author = {Dr V Subrahmanyam and Dr M. V. Siva Prasad},
        title = {Software Engineering Education in the Era of Conversational AI: Current Trends and Future Directions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {2722-2725},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184602},
        abstract = {Conversational artificial intelligence (AI) systems — including large language models (LLMs) and specialized chat assistants — are reshaping how software is developed, taught, and learned. This paper surveys current trends in software engineering education influenced by conversational AI, evaluates pedagogical implications, and proposes directions for curriculum design, assessment, and empirical research. We synthesize evidence from classroom deployments, industry practices, and recent scholarship to outline opportunities (e.g., accelerated prototyping, personalized tutoring, formative feedback) and risks (e.g., over¬reliance, academic dishonesty, propagation of bias). Finally, we propose a modular, ethically-grounded pedagogical framework that integrates conversational AI across learning objectives while preserving core competencies in problem solving, software design, and professional practice. The paper concludes with research questions and practical recommendations for educators, administrators, and researchers.},
        keywords = {conversational AI, large language models, software engineering education, pedagogy, assessment, ethics, curriculum design},
        month = {September},
        }