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Bijoy Kumar Rai; Nick Hopwood; Kezang Sherab – Journal of the International Society for Teacher Education, 2024
How do teachers elicit and sustain students' interest and engagement in science lessons? This paper answers this question in the context of Bhutan, where students' performance in science is low compared to other subjects, and where falling levels of interest in science are a concern. Like other countries in the Global South, a large proportion of…
Descriptors: Student Interests, Science Instruction, Learner Engagement, Grade 6
Chiu, Chiung-Hui; Cheng, Hsiao-Wei; Wu, Chiu-Yi – Journal of Educational Research, 2016
The authors examined whether applying questioning review better enhances elementary level students' learning from technology-enhanced coediting-based note taking than does traditional reading review. A nonequivalent comparison group quasi-experimental design was implemented and replicated on four independent units. Two sixth grade elementary…
Descriptors: Reading, Reading Instruction, Reading Strategies, Elementary School Students
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection