Unveiling New Horizons in Machine Learning, NLP-Driven Framework for Student Learning Behavior

Modeling and analyzing the behavior of learners in educational settings using machine learning and Natural Language Processing techniques include the use of text data from chat logs, discussion forums, and other online platforms to identify patterns of behavior, such as engagement, participation, and understanding. The proposed machine learning and NLP-powered learning behavior modeling and analysis framework can be used to track the academic performance progress of individual learners, identify areas where additional support may be needed, and provide insights into the effectiveness of different teaching methods and materials; thus, findings can inform the development of personalized learning interventions and provide insights into improving student learning outcomes.