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Metcalfe, Janet; Eich, Teal S. – Grantee Submission, 2019
In five experiments, we examined the conditions under which participants remembered true and false information given as feedback. Participants answered general information questions, expressed their confidence in the correctness of their answers, and were given true or false feedback. In all five experiments, participants hyper'corrected' when…
Descriptors: Memory, Error Correction, Feedback (Response), Experiments
Ahmed Magooda; Diane Litman; Ahmed Ashraf; Muhsin Menekse – Grantee Submission, 2022
Having students write reflections has been shown to help teachers improve their instruction and students improve their learning outcomes. With the aid of Natural Language Processing (NLP), real-time educational applications that can assess and provide feedback on reflection quality can be deployed. In this work, we first evaluate various NLP…
Descriptors: Undergraduate Students, Writing Assignments, Reflection, Natural Language Processing
Xue Zhang; Chun Wang – Grantee Submission, 2021
Among current state-of-art estimation methods for multilevel IRT models, the two-stage divide-and-conquer strategy has practical advantages, such as clearer definition of factors, convenience for secondary data analysis, convenience for model calibration and fit evaluation, and avoidance of improper solutions. However, various studies have shown…
Descriptors: Error of Measurement, Error Correction, Item Response Theory, Comparative Analysis
Metcalfe, Janet; Xu, Judy – Grantee Submission, 2017
Three experiments investigated the effects of making errors oneself, as compared to just hearing the correct answer without error generation, hearing another person make an error, or being "on-the-hook," that is, possibly but not necessarily being the person who would be "called-on" to give a response. In all three experiments,…
Descriptors: Error Patterns, Comparative Analysis, Responses, Recall (Psychology)
Brown, Sarah A.; Menendez, David; Alibali, Martha W. – Grantee Submission, 2019
Why do people change their strategies for solving problems? In this research, we tested whether negative feedback and the context in which learners encounter a strategy influence their likelihood of adopting that strategy. In particular, we examined whether strategy adoption varied when learners were exposed to a target strategy in isolation, in…
Descriptors: Student Characteristics, Learning Strategies, Problem Solving, Feedback (Response)
Metcalfe, Janet – Grantee Submission, 2017
Although error avoidance during learning appears to be the rule in American classrooms, laboratory studies suggest that it may be a counterproductive strategy, at least for neurologically typical students. Experimental investigations indicate that errorful learning followed by corrective feedback is beneficial to learning. Interestingly, the…
Descriptors: Error Patterns, Error Correction, Feedback (Response), Educational Benefits
Booth, Julie L.; McGinn, Kelly M.; Barbieri, Christina; Begolli, Kreshnik N.; Chang, Briana; Miller-Cotto, Dana; Young, Laura K.; Davenport, Jodi L. – Grantee Submission, 2017
In the present chapter, we review the evidence for several principles that are especially promising for improving mathematics instruction. Using the classification scheme proposed by Koedinger et al. (2013), we begin with principles that focus on improving memory and fluency: scaffolding, distributed practice, and feedback. We then move to worked…
Descriptors: Cognitive Science, Scientific Principles, Mathematics Instruction, Mathematical Concepts