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Hutt, Stephen; Ocumpaugh, Jaclyn; Ma, Juliana; Andres, Alexandra L.; Bosch, Nigel; Paquette, Luc; Biswas, Gautam; Baker, Ryan S. – International Educational Data Mining Society, 2021
Self-regulated learning (SRL) is a critical 21st -century skill. In this paper, we examine SRL through the lens of the searching, monitoring, assessing, rehearsing, and translating (SMART) schema for learning operations. We use microanalysis to measure SRL behaviors as students interact with a computer-based learning environment, Betty's Brain. We…
Descriptors: Models, Self Control, Learning Strategies, Student Behavior
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Lee, JiHye; Lee, Hyun-Kyung; Jeong, Dabin; Lee, JiEun; Kim, TaeRyun; Lee, JiHyon – International Journal of Art & Design Education, 2021
Traditional museums of culture and history are failing to develop or make effective use of augmented reality (AR) technology. To address this deficit, the present study sought to develop online and offline experiential AR learning tools that would enable children to more fully explore museum artefacts. The study approach was based on the Blended…
Descriptors: Museums, Cultural Education, Computer Simulation, History Instruction
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Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students