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Al-Inbari, Fatima Abdullah Yahya; Al-Wasy, Baleigh Qassim Mohammed – Education and Information Technologies, 2023
Automated Writing Evaluation (AWE) is one of the machine techniques used for assessing learners' writing. Recently, this technique has been widely implemented for improving learners' editing strategies. Several studies have been conducted to compare self-editing with peer editing. However, only a few studies have compared automated peer and…
Descriptors: English Language Learners, Automation, Writing Evaluation, Peer Evaluation
Demszky, Dorottya; Liu, Jing; Hill, Heather C.; Jurafsky, Dan; Piech, Chris – Annenberg Institute for School Reform at Brown University, 2021
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource intensive in most educational contexts. We develop an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage teaching practice that…
Descriptors: Automation, Feedback (Response), Online Courses, Teaching Methods
Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation