Influence of Generative Artificial Intelligence on Student Learning and Academic Performance: Existing Practices, Pedagogical Innovations, and Prospective Regulations Frameworks Viewed Through the Perspective of Indian Knowledge Systems (IKS)

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Generative Artificial Intelligence (GenAI) tools like ChatGPT, Claude, Gemini, and Copilot are changing how students learn at Indian universities. They let teachers customize lessons for each student, encourage creativity, and let students learn at their own pace and on their own schedule. However, this rapid integration also brings up issues with academic honesty, creativity, reliance on AI, and moral use. This research article analyzes the influence of GenAI on student learning and academic achievement within the Indian higher education framework, grounded in the philosophical and pedagogical principles of Indian Knowledge Systems (IKS). The research used a quantitative methodology, gathering survey responses from 150 undergraduate and postgraduate students from several fields and 11 faculty members. The results indicate that 93% of students believe GenAI technologies enhance their comprehension of topics; nevertheless, 63% also report a decline in their own problem-solving skills. 82% of faculty members are also worried about plagiarism, 82% are worried about students being too reliant on others, and 57% are worried about students’ writing skills getting poorer. But all sides believe that GenAI may make things better by making adaptive assessments, AI-assisted experiential learning (Piaget, 1972), and more personalized blended training conceivable. The study indicates a regulatory framework in accordance with IKS that emphasizes AI literacy, ethical norms, institutional regulations, and value-oriented behaviors to ensure responsible and equitable AI usage. The larger impacts on NEP 2020, UGC regulatory norms, curricular changes, and teacher training programs are also examined.

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