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Jing Chen; Tianhui Chen – Journal of Computer Assisted Learning, 2025
Background: The creation of Intelligent Supervision Platforms in universities leverages Big Data for robust monitoring and decision-making, which significantly enhances overall efficiency and adaptability in educational environments. Objectives: This research focuses on evaluating how Big Data-driven Intelligent Supervision Platforms in…
Descriptors: Educational Change, Higher Education, Universities, Supervision
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Mukesh Kumar Rohil; Saksham Mahajan; Trishna Paul – Education and Information Technologies, 2025
Intelligent Tutoring Systems (ITS) and Augmented Reality (AR) have become greatly popular in current scenario, especially for helping students in mastering difficult subjects through a variety of different methods with the implementation of smart algorithms. There are many papers in the current literature that discuss the ITS architecture and the…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Physical Environment, Simulated Environment
Claire Abbott; Michael DeArmond; Dan Goldhaber; Hannah Putman – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2025
This report examines how states can use their Statewide Longitudinal Data Systems (SLDS) to better understand their teacher supply problems and assess initiatives designed to address them. It emphasizes two key actions: connecting existing data and collecting new data on the prospective workforce. Using research and real-world examples from four…
Descriptors: Teacher Supply and Demand, Data Use, Longitudinal Studies, Data Collection