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Zhang, Qian; Fiorella, Logan – Educational Psychologist, 2023
Errors are inevitable in most learning contexts, but under the right conditions, they can be beneficial for learning. Prior research indicates that generating and learning from errors can promote retention of knowledge, higher-level learning, and self-regulation. The present review proposes an integrated theoretical model to explain two major…
Descriptors: Models, Error Correction, Learning Processes, Feedback (Response)
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Uddin, Md Jama; Panda, Bhujendra Nath; Agarwal, Prakash Chandra – Physics Education, 2023
Enhancing the problem-solving skills of learners belonging to socio-economically disadvantaged groups is a great concern in general and particularly in the Indian context. Problem-solving skills are the most important skills of the 21st century for all learners to acquire necessary competencies. The main purpose of this work is to investigate the…
Descriptors: Identification, Error Correction, Grade 9, High School Students
Vitello, Sylvia; Crisp, Victoria; Ireland, Jo – Research Matters, 2023
Assessment materials must be checked for errors before they are presented to candidates. Any errors have the potential to reduce validity. For example, in the most extreme cases, an error may turn an otherwise well-designed exam question into one that is impossible to answer. In Cambridge University Press & Assessment, assessment materials are…
Descriptors: Check Lists, Test Validity, Error Correction, Test Construction
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Yuling Zhuang; AnnaMarie Conner – Mathematical Thinking and Learning: An International Journal, 2024
This study illustrates how two secondary mathematics teachers used students' incorrect answers as they supported students' engagement in collective argumentation. Three ways of supporting argumentation when students contributed incorrect answers are exemplified, and the structures of these arguments are investigated. Then, by focusing on the…
Descriptors: Secondary School Mathematics, Mathematics Teachers, Mathematics Instruction, Teaching Methods
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Kyle D. S. Maclean; Tiffany Bayley – INFORMS Transactions on Education, 2024
We introduce a novel type of assessment that allows for efficient grading of higher order thinking skills. In this assessment, a student reviews and corrects a technical memo that has errors in its formulation or process. To overcome the grading challenges imposed by essay-type responses in large undergraduate courses, we provide a Visual Basic…
Descriptors: Undergraduate Students, Thinking Skills, Test Construction, Error Correction
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Fiona Richards; Nigel Harwood – International Journal for Educational Integrity, 2024
This article presents a research-based stakeholder tool informed by a study of the various types of changes proofreaders may make when proofreading a student text. Whilst the tool can be used to advise higher education students, (non-)professional proofreaders/editors, English for Academic Purposes (EAP) lecturers, writing centre tutors, and…
Descriptors: Proofreading, Writing Evaluation, Revision (Written Composition), English for Academic Purposes
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Dilara Ecem Altun; Serife Yucesoy-Ozkan – Education and Training in Autism and Developmental Disabilities, 2024
In the study, we compared the effectiveness and efficiency of two error correction (EC) procedures --a model of the correct response (MoCR) and remove and re-present (RRp)--when using discrete trial training (DTT) in teaching to identify the community signs to children with autism spectrum disorder. We also examined the maintenance and…
Descriptors: Error Correction, Autism Spectrum Disorders, Signs, Responses
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Paige L. Kemp; Alyssa H. Sinclair; R. Alison Adcock; Christopher N. Wahlheim – Cognitive Research: Principles and Implications, 2024
Fake news can have enduring effects on memory and beliefs. An ongoing theoretical debate has investigated whether corrections (fact-checks) should include reminders of fake news. The familiarity backfire account proposes that reminders hinder correction (increasing interference), whereas integration-based accounts argue that reminders facilitate…
Descriptors: Misinformation, Deception, Propaganda, Memory
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Khaled ElEbyary; Ramy Shabara; Deena Boraie – Language Testing in Asia, 2024
Despite the plethora of studies on the role of noticing in second language learning, little is known about the role of AI-operated feedback in noticing errors and uptake "during" and "after" writing. To address this gap, this study primarily aimed to investigate the impact of feedback modes and timing on L2 students' noticing…
Descriptors: Foreign Countries, Artificial Intelligence, Second Language Learning, English (Second Language)
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Juan M. Sanchez – Journal of Biological Education, 2024
Bias assessment (systematic errors) is fundamental in industry and service laboratories, where reliable results must be obtained to give correct answers to specific problems. Therefore, knowledge and practice in quality methodologies is of fundamental importance for students. Unfortunately, laboratory lessons often focus on connecting theory and…
Descriptors: Achievement Tests, Science Laboratories, Biology, Science Education
Samuel S. Davidson – ProQuest LLC, 2024
Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…
Descriptors: Computer Assisted Testing, Automation, Student Evaluation, Feedback (Response)
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Cicely Rude – Studies in Applied Linguistics & TESOL, 2024
In a world in which rampant misinformation and partial truths can spread like wildfire, adult English as a Second Language (ESL) conversation classes can become fertile ground for unplanned discussions about unexpected information. When a student introduces new information, it can lead to repair-driven side sequences in which student explanations…
Descriptors: Adults, Adult Education, English Learners, Conversational Language Courses
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Ricardo Conejo Muñoz; Beatriz Barros Blanco; José del Campo-Ávila; José L. Triviño Rodriguez – IEEE Transactions on Learning Technologies, 2024
Automatic question generation and the assessment of procedural knowledge is still a challenging research topic. This article focuses on the case of it, the techniques of parsing grammars for compiler construction. There are two well-known techniques for parsing: top-down parsing with LL(1) and bottom-up with LR(1). Learning these techniques and…
Descriptors: Automation, Questioning Techniques, Knowledge Level, Language
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Igor' Kontorovich; Nicole Qiusong Liu; Sun-woong Kang – Educational Studies in Mathematics, 2024
Coming from the commognitive standpoint, we consider proof-based mathematics as a distinct discourse, the transition to which requires special rules for endorsement and rejection of mathematical statements. In this study, we investigate newcomers' learning of these rules when being taught them explicitly. Our data come from academically motivated…
Descriptors: Mathematical Logic, Validity, High School Students, College Mathematics
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Sideridis, Georgios D.; Jaffari, Fathima – Measurement and Evaluation in Counseling and Development, 2022
The present study describes an R function that implements six corrective procedures developed by Bartlett, Swain, and Yuan in the correction of 21 statistics associated with the omnibus Chi-square test, the residuals, or fit indices in confirmatory factor analysis (CFA) and structural equation modeling (SEM).
Descriptors: Statistical Analysis, Goodness of Fit, Factor Analysis, Structural Equation Models
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