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Eduardo Davalos; Yike Zhang; Namrata Srivastava; Jorge Alberto Salas; Sara McFadden; Sun-Joo Cho; Gautam Biswas; Amanda Goodwin – Grantee Submission, 2025
Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student behavior and cognition. This study investigates the use of multimodal data sources -- including eye-tracking data, learning outcomes, assessment content, and teaching…
Descriptors: Natural Language Processing, Learning Analytics, Reading Tests, Reading Comprehension
Jiang, Yang; Gong, Tao; Saldivia, Luis E.; Cayton-Hodges, Gabrielle; Agard, Christopher – Large-scale Assessments in Education, 2021
In 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to…
Descriptors: Data Use, Learning Analytics, Test Items, Measurement
Lasater, Kara; Albiladi, Waheeb S.; Bengtson, Ed – Journal of Cases in Educational Leadership, 2021
Data use is considered a key lever in school improvement processes, but the punitive pressure of high-stakes accountability can influence whether or not data use is enacted in ways which facilitate improvement. School leaders must learn to respond to high-stakes accountability in ways which lead teachers to feel safe, efficacious, and agentic with…
Descriptors: Leadership Role, High Stakes Tests, Data Use, Educational Improvement
Shapiro, R. Benjamin; Wardrip, Peter Samuelson – Technology, Instruction, Cognition and Learning, 2015
Increased attention to Data-Informed Instruction (DII) and learning analytics has not been accompanied by a commensurate base of theory or evidence showing how practitioners successfully enact DII, or illustrating what the difficulties and contextual particularities of doing so involve (Coburn & Turner, 2012; Little, 2012; Spillane, 2012).…
Descriptors: Classroom Techniques, Learning Analytics, Data Use, Homework
Hershkovitz, Arnon – Technology, Instruction, Cognition and Learning, 2015
Still lacking in the mainstream data-driven approaches to studying educational settings is the very basic, most popular educational setting -- that is, the classroom. Capturing data that describes learning in the classroom is the focus of the current issue. The articles in this issue present a large variety of data sources, data collection tools…
Descriptors: Data, Data Use, Instructional Improvement, Data Collection

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