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Download full textNoroozi, Omid, Ed.; Sahin, Ismail, Ed. – International Society for Technology, Education, and Science, 2022
The aim of the International Society for Technology, Education, and Science (iHSES) conference is to offer opportunities to share ideas, discuss theoretical and practical issues, and connect with the leaders in the fields of "humanities," "education" and "social sciences." It is organized for: (1) faculty members in…
Descriptors: Flipped Classroom, Student Diversity, Student Experience, College Students
Direct linkKonrad, Moira; Joseph, Laurice M.; Eveleigh, Elisha – Education and Treatment of Children, 2009
Research indicates that student achievement improves when teachers provide opportunities for active engagement. Guided notes have been suggested as a way to increase active student responding during teacher-directed lectures. The purpose of this review was to summarize research on the effectiveness of guided notes. Specifically, we sought to…
Descriptors: Notetaking, Teaching Methods, Lecture Method, Secondary 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
