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Zhang, Mo; Guo, Hongwen; Liu, Xiang – International Educational Data Mining Society, 2021
We present an empirical study on the use of keystroke analytics to capture and understand how writers manage their time and make inferences on how they allocate their cognitive resources during essay writing. The results suggest three distinct longitudinal patterns of writing process that describe how writers approach an essay task in a writing…
Descriptors: Keyboarding (Data Entry), Learning Analytics, Data Collection, Cognitive Processes
Joe Olsen; Amy Adair; Janice Gobert; Michael Sao Pedro; Mariel O'Brien – Grantee Submission, 2022
Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that…
Descriptors: Mathematical Models, Intelligent Tutoring Systems, Performance Based Assessment, Data Collection
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Henderson, Michael; Selwyn, Neil – AERA Online Paper Repository, 2016
Large quantities of data are now generated, collated and processed within schools through computerized systems and other digital technologies. In response to growing concerns over the efficiency and equity of how data is used, the concept of 'open data' has emerged as a potential means of democratizing data access and use across school…
Descriptors: Data Collection, Data Analysis, Democracy, Access to Information
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Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
Shiffman, Catherine Dunn – National Center on Scaling Up Effective Schools, 2015
This paper proposes a framework for analyzing program design features that seem to matter in implementation. The framework is based on findings from a study conducted by the Consortium for Policy Research in Education (CPRE) between 2004 and 2007 that explored how reform ideas and practices created by five external provider organizations were…
Descriptors: Program Design, Program Implementation, Educational Change, High Schools
Stepath, Carl; Whitehouse, Hilary – Online Submission, 2006
Background: This article concerns learning with high school students and the effect of snorkeling and coral reef monitoring at the Great Barrier Reef, Australia. The effectiveness of classroom learning, student-reef relationships and reef trips were investigated. Purpose: This paper presents selected student accounts of reef educational…
Descriptors: Foreign Countries, High School Students, Research Design, Proximity
Abel, J. F. – Bureau of Education, Department of the Interior, 1923
The second national conference on consolidation of rural schools and transportation of pupils was called by the United States Commissioner of Education and held at Cleveland, Ohio, February 26, 1923. Twenty-three States were represented. Those in attendance included State commissioners of education, rural-school workers from State departments of…
Descriptors: Consolidated Schools, Conferences (Gatherings), Rural Schools, Administrator Education