Integrating Artificial Intelligence, Performance Prediction and Learning Analytics to Enhance Student Learning In Technical Study

Author(s)	Dr. Srilatha Chepure, Dr. CV Guru Rao
Country	India
Abstract	Predicting academic performance in online education poses significant challenges due to the insufficient integration of learning process data, summative assessments, and the absence of precise quantitative relationships between variables and achievements. This study proposes an artificial intelligence (AI)-enabled predictive model for student academic performance, incorporating both learning procedure metrics and summative data. The methodology involves predefined prediction measures to describe and transform learning data from atechnical course. Alatest computation technique is employed to identify the optimal predictive model for academic enactment. Validation is conducted using a second online course employing the same pedagogical framework and technological tools. Results demonstrate a strong alignment between the course result and the model's predictions.
Keywords	Artificial Intelligence, Students Performance Analysis, Higher education • Online learning • Collaborative learning”
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 11, November 2024
Published On	2024-11-14
Cite This	Integrating Artificial Intelligence, Performance Prediction and Learning Analytics to Enhance Student Learning In Technical Study - Dr. Srilatha Chepure, Dr. CV Guru Rao - IJLRP Volume 5, Issue 11, November 2024.

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