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Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
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Taniguchi, Yuta; Okubo, Fumiya; Shimada, Atsushi; Konomi, Shin'ichi – International Association for Development of the Information Society, 2017
Students' journal writings could be useful resources for teachers to grasp their understandings and to see their own teaching objectively. However, reading a large number of journals thoroughly is not always realistic for teachers. Although various automatic analysis methods have been proposed to understand learning journals, they does not…
Descriptors: Student Journals, Journal Writing, Electronic Publishing, Computer Managed Instruction
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Bianchi, Francesca; Marenzi, Ivana – Research-publishing.net, 2016
The current paper describes a first experiment in the use of TED talks and open tagging exercises to train higher-level comprehension skills, and of automatic logging of the student's actions to investigate the student choices while performing analytical tasks. The experiment took advantage of an interactive learning platform--LearnWeb--that…
Descriptors: Comprehension, Multimedia Materials, Multimedia Instruction, Task Analysis