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Tšhegofatšo P. Makgakga – Pythagoras, 2023
Error analysis is an instructional strategy that can assist teachers to identify learners' areas of weakness in mathematics and that can point to remediation of those errors. This article explores the errors learners exhibit when solving quadratic equations by completing the square using Newman's Error Analysis Model. A research study explored the…
Descriptors: Error Patterns, Mathematics Instruction, Error Correction, Problem Solving
Derek Hopper; Neil Bowen – rEFLections, 2023
Many writing teachers believe that giving written corrective feedback (WCF) is an important part of learning to write. Equally, students like to receive it. However, most previous research on WCF has looked at its overall effectiveness, with less attention paid to the differences of opinion between students and their teachers, and the implications…
Descriptors: Student Attitudes, Teacher Attitudes, Feedback (Response), Writing Instruction
Wahman, Charis L.; Anderson, Eric J. – Psychology in the Schools, 2021
This study examined the effectiveness of a precorrection intervention on teacher and student behavior. Children and teachers were recruited from an early childhood center in a Midwestern city to participate in this study focused on explicitly teaching behavioral expectations. Using a multiple probe design across three children, the impact of…
Descriptors: Error Correction, Expectation, Young Children, Behavior Modification
Karla Elizondo; Rafael Valenzuela; José V. Pestana; Nuria Codina – Psychology in the Schools, 2024
Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…
Descriptors: Self Management, College Students, Time Management, Student Motivation
Hongzhi Yang; Chuan Gao; Hui-zhong Shen – Education and Information Technologies, 2024
Recently, artificial intelligence (AI)-programmed automated writing evaluation (AWE) has attracted increasing attention in language research. Using a small data set arising from an analysis of five Chinese university-level English as a foreign language (EFL) students' submissions, this paper examined in detail how EFL students interacted with the…
Descriptors: Artificial Intelligence, Programming, Writing Evaluation, Computer Mediated Communication
Ehsan Rassaei – Language Learning Journal, 2024
The present meta-analysis investigated the effects of recasts along with a number of moderating variables on L2 development by meta-analysing the results of 24 primary studies. The findings revealed an overall medium effect size for the effectiveness of recasts (g = 0.70, 95% CI = 0.48-0.93). Furthermore, the findings indicated that recasts are…
Descriptors: Grammar, Second Language Learning, Second Language Instruction, Error Correction
Yu-Chen Kuo; Po-Jung Chang – Education and Information Technologies, 2024
In recent years, many schools have started implementing remote teaching due to the impact of the COVID-19. Flipped classroom has been proven to be a student-centered teaching method that can effectively improve learning effectiveness. Nonetheless, if students fail to watch the instructional videos prior to class or encounter difficulties during…
Descriptors: Flipped Classroom, Electronic Learning, Cooperative Learning, Problem Solving
Lidong Wang – Journal of Cybersecurity Education, Research and Practice, 2024
Additive manufacturing (AM) has been applied to automotive, aerospace, medical sectors, etc., but there are still challenges such as parts' porosity, cracks, surface roughness, intrinsic anisotropy, and residual stress because of the high level of thermal gradient. It is significant to conduct the modeling and simulation of the AM process and…
Descriptors: Computer Security, Computer Science, Artificial Intelligence, Computer Simulation
Bei Cai; Ziyu He; Hong Fu; Yang Zheng; Yanjie Song – IEEE Transactions on Learning Technologies, 2025
Much research has applied automated writing evaluation (AWE) systems to English writing instruction; however, understanding how students internalize and apply this feedback to reduce writing errors is difficult, largely due to the personal and private nature of this process. Therefore, this research utilized eye-tracking technology to explore the…
Descriptors: Undergraduate Students, Majors (Students), Writing (Composition), Writing Evaluation
Chen-Chen Liu; Gwo-Jen Hwang; Peng Yu; Yun-Fang Tu; Youmei Wang – Educational Technology Research and Development, 2025
Oral practice is challenging for foreign language education, and Corrective Feedback (CF) is often used to point out learners' pronunciation errors and to help them improve their oral skills in foreign language courses. CF is generally considered as a necessary condition for foreign language acquisition, and "reflection" and…
Descriptors: Automation, Error Correction, Feedback (Response), Peer Evaluation
Morgan M. Fong; David DeLiema; Virginia J. Flood; Oia Walker-van Aalst – International Journal of Computer-Supported Collaborative Learning, 2025
Working solutions to problems are not definitive end points. As a result, code that is technically correct can still be treated as needing revising -- a practice in computer programming known as refactoring. We document how late elementary to middle school students and their undergraduate instructors weigh the possibility of refactoring working…
Descriptors: Computation, Thinking Skills, Norms, Computer Science Education
Daliri, Ayoub; Chao, Sara-Ching; Fitzgerald, Lacee C. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: We continuously monitor our speech output to detect potential errors in our productions. When we encounter errors, we rapidly change our speech output to compensate for the errors. However, it remains unclear whether we adjust the magnitude of our compensatory responses based on the characteristics of errors. Method: Participants (N = 30…
Descriptors: Speech, Error Correction, Error Patterns, Responses
Gee, Providence A.; Schneider, Kiley A.; Devine, Bailey; Petursdottir, Anna Ingeborg – Journal of Behavioral Education, 2020
In laboratory symbolic matching-to-sample (MTS) tasks, acquisition commonly proceeds via trial and error, whereas in applied settings, MTS instruction typically includes prompting and prompt-fading strategies. We examined the effects of error-contingent prompts in symbolic MTS under sample-first and comparison-first presentation arrangements.…
Descriptors: Cues, Time, Stimuli, Cognitive Processes
Weber, Frank; Knapp, Guido; Ickstadt, Katja; Kundt, Günther; Glass, Änne – Research Synthesis Methods, 2020
The standard estimator for the log odds ratio (the unconditional maximum likelihood estimator) and the delta-method estimator for its standard error are not defined if the corresponding 2 x 2 table contains at least one "zero cell". This is also an issue when estimating the overall log odds ratio in a meta-analysis. It is well known that…
Descriptors: Meta Analysis, Maximum Likelihood Statistics, Effect Size, Error Correction
Tomek, Raphaela; Urhahne, Detlef – Educational Psychology, 2022
Student noise can affect teachers' stress experience and work performance. Two experimental studies were conducted to examine these effects in more detail. Based on Lazarus' transactional stress model and the maximal adaptability theory, we assumed an increase in stress experience due to noise and stimulating effects of noise up to a point of…
Descriptors: Acoustics, Student Teacher Attitudes, Stress Variables, Job Performance

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