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Tejada Reyes, Venecia – Online Submission, 2019
Learning techniques or study strategies are different perspectives applied to learning in general. Apparently, they are critical to the success of students in school. There are varieties of learning techniques, which can focus on the process of organizing, taking and retaining new information, or passing exams.…
Descriptors: Independent Study, Learning Strategies, Study Habits, Second Language Learning
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Karaman, Pinar; Demirci, Ibrahim; Özdemir, Atilla – International Journal of Progressive Education, 2019
This study examines the structural relationship among motivation, deep learning approach, and academic achievement of middle school students in Turkey. Participants were 746 seventh grade and eighth grade students enrolled in public middle schools in Sinop and Ankara, Turkey. Motivated Strategies for Learning Questionnaire, Study Process…
Descriptors: Correlation, Student Motivation, Academic Achievement, Middle School Students
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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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