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Afrin, Tazin; Wang, Elaine; Litman, Diane; Matsumura, Lindsay C.; Correnti, Richard – Grantee Submission, 2020
Automated writing evaluation systems can improve students' writing insofar as students attend to the feedback provided and revise their essay drafts in ways aligned with such feedback. Existing research on revision of argumentative writing in such systems, however, has focused on the types of revisions students make (e.g., surface vs. content)…
Descriptors: Writing (Composition), Persuasive Discourse, Revision (Written Composition), Documentation
Zhang, H.; Magooda, A.; Litman, D.; Correnti, R.; Wang, E.; Matsumura, L. C.; Howe, E.; Quintana, R. – Grantee Submission, 2019
Writing a good essay typically involves students revising an initial paper draft after receiving feedback. We present eRevise, a web-based writing and revising environment that uses natural language processing features generated for rubric-based essay scoring to trigger formative feedback messages regarding students' use of evidence in…
Descriptors: Formative Evaluation, Essays, Writing (Composition), Revision (Written Composition)
Tansomboon, Charissa; Gerard, Libby F.; Linn, Marcia – AERA Online Paper Repository, 2017
This study compares two designs of automated guidance for short essays in an online thermodynamics unit. Students are prompted by automated guidance to either "revisit" evidence in a dynamic model prior or to plan "writing" changes prior to revision. In this paper we specifically examine how receiving either type of guidance…
Descriptors: Automation, Guidance, Web Based Instruction, Inquiry
Tansomboon, Charissa; Gerard, Libby F.; Vitale, Jonathan Michael; Linn, Marcia C. – AERA Online Paper Repository, 2016
While automated guidance in online units has been found to successfully support learning, students can sometimes feel alienated rather than motivated due to computerized guidance seeming impersonal. In this study, we explore ways to improve learning and motivation by personalizing adaptive guidance. Standard adaptive guidance is compared to more…
Descriptors: Web Based Instruction, Inquiry, Active Learning, Science Instruction

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