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Lecture Lens: AI Based Student Learning Model
Rutuja Bhute, Prajakta Koravi, Arpita Khot, Sonali Keskar, Samruddhi Jadhav, Prof. S. S. Sangewar
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Abstract: The students enrolled in modern education systems often find it hard to concentrate in lectures, manage their study material, and comprehend the intricate subject matter being taught to them. These students have to take down lectures manually and engage with the instructor only during the classroom teaching session. This paper suggests an βLecture Lens: An AI-Based Student Learning Model,β an innovative and intelligent learning system based on the utilization of AI technologies. This proposed learning system uses ML techniques, NLP tools, automatic speech recognition, and automated text summarization to analyze the lectures and provide personalized study resources to the students. The system can be used by the users to convert their lecture audio to text and identify key concepts from the recorded audio files. They can also create concise lecture notes and summary using this intelligent tool and answer questions generated by the system.
Keywords: Artificial Intelligence (AI), Student Learning Model, Natural Language Processing (NLP), Machine Learning (ML), Speech Recognition, Automated Note Generation.
Keywords: Artificial Intelligence (AI), Student Learning Model, Natural Language Processing (NLP), Machine Learning (ML), Speech Recognition, Automated Note Generation.
How to Cite:
[1] Rutuja Bhute, Prajakta Koravi, Arpita Khot, Sonali Keskar, Samruddhi Jadhav, Prof. S. S. Sangewar, βLecture Lens: AI Based Student Learning Model,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15594
