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Igor Bascandziev – Cognitive Science, 2024
The ability to recognize and correct errors in one's explanatory understanding is critically important for learning. However, little is known about the mechanisms that determine when and under what circumstances errors are detected and how they are corrected. The present study investigated thought experiments as a potential tool that can reveal…
Descriptors: Cognitive Processes, Experiments, Schemata (Cognition), Cognitive Science
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Maleka Donaldson; Selma Benmoussa; Mia Hwang – Early Childhood Education Journal, 2024
Making mistakes and receiving feedback are crucial elements of learning. Reading picturebooks with young children can help shape their perceptions of mistakes and model adaptive responses they can emulate, both in the short term and for years to come. This content analysis identified and analyzed the story characteristics of 25 recently published…
Descriptors: Picture Books, Childrens Literature, Error Patterns, Content Analysis
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Lucy A. Watson; Elizabeth B. Harkey; Angela T. Barlow – Mathematics Teacher: Learning and Teaching PK-12, 2024
Barlow et al. (2018) discussed three types of mistakes worthy of inspection: procedural errors, inappropriate solution processes, and misconceptions. Here, the authors focus on procedural errors, as these often led the teachers in their professional development project to limit their inspection of mistakes to correcting. Despite this narrow focus,…
Descriptors: Mathematics Instruction, Misconceptions, Teaching Methods, Error Patterns
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Icy Lee – Pedagogies: An International Journal, 2024
The past few decades have witnessed a remarkable surge of research interest in written corrective feedback (WCF). Given its pivotal role in the writing classroom, WCF has remained one of the most vibrant and dynamic areas for scholarly investigations. The aim of this article is to chart future directions for WCF research. To do this, it first…
Descriptors: Writing (Composition), Writing Instruction, Feedback (Response), Error Correction
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Leah M. Ridgway; Tom Cox – IEEE Transactions on Education, 2024
Contribution: This study uses a qualitative research method to analyze interviews where participants simplified an electric circuit while explaining their thought process. Background: Rearranging circuit diagrams is a fundamental skill in electrical and electronic engineering, yet students can struggle with unfamiliar configurations. Current…
Descriptors: Electronic Equipment, Visual Aids, Engineering Education, Undergraduate Students
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Laura Horton – Sign Language Studies, 2024
The term "repair" refers to strategies deployed by language users to resolve breakdowns in communication. In this study, I ask what strategies for conversational repair are deployed, and who takes responsibility for their execution, when a language is used in a small local signing ecology. I focus on signers from a single family within a…
Descriptors: Sign Language, Foreign Countries, Discourse Analysis, Error Correction
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Vivian Maanu; Ebenezer Bonyah; Seth Amoako Atta; Lauren Jeneva Clark – African Educational Research Journal, 2024
The study aimed to explore the perception of pre-service teachers regarding the use of the red pen for corrections. A non-random sample of twelve (12) respondents, consisting of three experienced tutors from the Mathematics, Science, and English Departments, along with nine pre-service teachers, were interviewed. The data was analysed…
Descriptors: Foreign Countries, Preservice Teachers, Teacher Attitudes, Scoring
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Kaufmann, Odd Tore; Larsson, Maria; Ryve, Andreas – International Journal of Science and Mathematics Education, 2023
Multiple studies have been conducted regarding teachers' error-handling practices, and how errors can be treated as opportunities for learning, albeit in the context of whole-class discussions. The aim of the present research is to continue to investigate teachers' error-handling practices as they occur in different phases of maths lessons:…
Descriptors: Mathematics Education, Mathematics Teachers, Error Correction, Teaching Methods
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Liu, Gang; Fang, Ning – Research in Science & Technological Education, 2023
Background: A solid conceptual understanding is essential for students to succeed in all academic disciplines. Student misconceptions are correlated with their poor academic performance and high attrition rates. It is especially important to correct student misconceptions in science-based undergraduate engineering mechanics courses that cover…
Descriptors: Hands on Science, Misconceptions, Error Correction, Energy
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Lee, Hyeonju; Ha, Minsu; Lee, Jurim; Aini, Rahmi Qurota; Rusmana, Ai Nurlaelasari; Sya'bandari, Yustika; Lee, Jun-Ki; Shin, Sein; Lee, Gyeong-Geon; Choo, Jaegul; Choi, Sungchul; Kim, Namhyoung; Park, Jisun – Technology, Knowledge and Learning, 2023
This study aimed to develop an automated computer scoring system (ACSS) incorporating a Korean spell checker to assess students' constructed responses and to check the efficacy of this system. To accomplish this, we examined the performance of automatic spelling correction in reporting and correcting spelling errors, the interaction of gender and…
Descriptors: Spelling, Error Correction, Foreign Countries, Automation
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Gregorcic, Bor; Pendrill, Ann-Marie – Physics Education, 2023
We present a case study of a conversation between ourselves and an artificial intelligence-based chatbot ChatGPT. We asked the chatbot to respond to a basic physics question that will be familiar to most physics teachers: 'A teddy bear is thrown into the air. What is its acceleration in the highest point?' The chatbot's responses, while…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Scientific Concepts
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Fisher, Isabelle; Costa, Patrícia – Learning Organization, 2023
Purpose: This study aims to explore how individual personal growth initiative (PGI) mediates the relationship between a positive error orientation and job crafting. Furthermore, it explores the moderating role of the feedback from the leader in this relationship. Design/methodology/approach: Data was collected through a survey conducted on 209…
Descriptors: Job Development, Feedback (Response), Leadership, Error Patterns
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Sang-Gu Kang – Journal of Pan-Pacific Association of Applied Linguistics, 2023
Generative AIs such as Google Bard are known to be equipped with techniques and grammatical principles of human language based on a large corpus of text and code that allow them to generate natural-sounding language, and also identify and correct grammatical errors in human-written texts. Still, they are not perfect language generators, and this…
Descriptors: Artificial Intelligence, Natural Language Processing, Error Correction, Writing (Composition)
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Keru Li; Yanyan Li; Yansu Wang; Yunshan Chen; Wanqing Hu – Instructional Science: An International Journal of the Learning Sciences, 2025
The study examined the influence of feedback features on revision uptake in dialogic peer feedback activities, and the moderating effect of self-efficacy and prior knowledge on this relationship. Data were collected over a 10-week course at a comprehensive university in China, involving 29 students and resulting in 242 revision-oriented comments.…
Descriptors: Foreign Countries, College Students, Peer Evaluation, Feedback (Response)
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Weise, Lorenz; Forster, Saskia D.; Gauggel, Siegfried – Metacognition and Learning, 2022
In the area of metacognition research, different methods have been used to study participants' subjective sense of confidence in their choices. Among the most often used methods are explicit reports of subjective confidence, post-decision wagering and measuring additional info-seeking behavior. While all three methods are thought to measure…
Descriptors: Correlation, Error Correction, Information Seeking, Metacognition
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