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Rohit Murali; Cristina Conati; David Poole – International Educational Data Mining Society, 2025
When tutoring students it is useful to be able to predict whether they are succeeding as early as possible. This paper compares multiple methods for predicting from sequential interaction data whether a student is on a successful path. Predicting students' future performance and intervening has shown promise in improving learner outcomes and…
Descriptors: Classification, Prediction, Markov Processes, Artificial Intelligence
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Tessaly Jen; Corey Brady; Lauren Vogelstein – Journal of Science Education and Technology, 2025
Conceptual, emotional, and political challenges are entangled in environmental issues, yet science education often focuses exclusively on the conceptual dimension. To address this, we developed a design workshop to study how high-school youth could integrate all three in their creations. Specifically, we explored how youth negotiated visions of…
Descriptors: Environmental Education, Sustainability, Experiential Learning, Student Participation
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Shamsuddeen, Abdulrahman; Amina, Hassan – Journal of Education and Practice, 2016
This study investigated the Correlation between instructional methods and students end of term achievement in Biology in selected secondary schools in Sokoto Metropolis, Sokoto State Nigeria. The study addressed three Specific objectives. To examine the relationship between; Cooperative learning methods, guided discovery, Simulation Method and…
Descriptors: Foreign Countries, Biology, Secondary School Students, Teaching Methods