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San Pedro, Maria Ofelia Z.; Baker, Ryan S.; Heffernan, Neil T. – Technology, Knowledge and Learning, 2017
Middle school is an important phase in the academic trajectory, which plays a major role in the path to successful post-secondary outcomes such as going to college. Despite this, research on factors leading to college-going choices do not yet utilize the extensive fine-grained data now becoming available on middle school learning and engagement.…
Descriptors: Educational Technology, Technology Uses in Education, Middle Schools, Postsecondary Education
National Science Foundation, 2016
"Science and Engineering Indicators" (SEI) is first and foremost a volume of record comprising high-quality quantitative data on the U.S. and international science and engineering enterprise. SEI includes an overview and seven chapters that follow a generally consistent pattern. The chapter titles are as follows: (1) Elementary and…
Descriptors: Science Education, Engineering Education, Mathematics Education, STEM Education
National Forum on Education Statistics, 2013
This document is intended to serve as a practical guide for implementing a teacher-student data link (TSDL) that supports a range of uses at the local, regional, and state levels. The guide addresses the considerations for linking teacher and student data from multiple perspectives, including governance, policies, data components, business rules,…
Descriptors: Data Collection, Data Analysis, Educational Research, Research Utilization
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis