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Direct linkMain, Sindy – ProQuest LLC, 2015
As schools continue to become more diverse, it is important to look at science teaching methods that will meet the needs of all students. In this study, 172 students in a middle school in Northwestern Illinois were taught using two methods of teaching science. Half of the students were taught using project-based science (PBS) and the other half of…
Descriptors: Active Learning, Student Projects, Lecture Method, Middle School Students
Peer reviewed
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
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
