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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
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
McCoy, Leah P., Ed. – Online Submission, 2009
This document presents the proceedings of the Annual Research Forum. Included herein are the following 29 studies: (1) What Factors Influence Algebra 1 Students' Attitudes toward Math? (Elizabeth A. Allen); (2) Low-Income Student and Teacher Impressions of Kagan Cooperative Learning (Andrea Anderson); (3) Developing and Implementing an Articulated…
Descriptors: High Schools, Student Attitudes, Oral Reading, Writing Strategies
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
