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OverviewSocial and Emotional Learning (SEL) is vital for students' academic success and overall well-being, yet assessing these competencies remains a challenge due to their subjective and non-cognitive nature. Traditional methods such as surveys and teacher observations often lack accuracy and consistency. To address this, a machine learning-based assessment framework is proposed, integrating diverse data sources such as student behavior, participation, and performance. By identifying patterns and classifying levels of SEL skills, machine learning models reduce human bias and enhance reliability. This data-driven approach not only ensures objective measurement but also provides predictive insights into students' SEL development. Educators can utilize these insights to design targeted interventions and personalized support, ultimately making the assessment of SEL competencies more accurate, scalable, and impactful. Full Product DetailsAuthor: Dr S Sharmila , Dr A KanagarajPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.40cm , Length: 22.90cm Weight: 0.095kg ISBN: 9786208472863ISBN 10: 6208472865 Pages: 60 Publication Date: 22 August 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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