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Rigelman, Nicole; Lewis, Chandra – Investigations in Mathematics Learning, 2023
Transforming mathematics learning and teaching toward more equitable and effective approaches is critical to student mathematics learning and identity development. This task at-scale in a district takes time, commitment, and mathematics expertise that may not be widespread in the absence of focused professional development. District and regional…
Descriptors: Transformative Learning, Kindergarten, Faculty Development, Elementary School Teachers
Choppin, Jeffrey; Carson, Cynthia; Borys, Zenon; Cerosaletti, Cathleen; Gillis, Robert – Grantee Submission, 2014
Digital content is increasingly present in U.S. K-12 classrooms, with a current push by federal officials to increase the rate at which digital textbooks are adopted. While some teachers' use of electronic resources involves locating activities and lessons from various internet sites, textbook and educational software companies have begun to…
Descriptors: Mathematics Instruction, Electronic Publishing, Computer Software, Costs
Noguera, Pedro A. – Learning Policy Institute, 2017
For some time now, it has been evident that the policies pursued by the United States to elevate the academic performance of students, particularly those who are most economically disadvantaged, have not produced the results that were promised or hoped for. This paper analyzes the efforts of schools and school districts to improve academic…
Descriptors: Academic Achievement, Equal Education, High Stakes Tests, Educational Legislation
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