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Rafi Safadi; Nadera Hawa – Instructional Science: An International Journal of the Learning Sciences, 2024
Research suggests that troubleshooting activities that require students to reflect on teacher-crafted erroneous examples; i.e., erroneous solutions to problems that correspond to widespread naïve ideas, are beneficial to learning. One possible explanation to these beneficial effects is that troubleshooting activities encourage students to test the…
Descriptors: Mathematics Instruction, Error Correction, Grade 9, Error Patterns
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Brinley N. Zabriskie; Nolan Cole; Jacob Baldauf; Craig Decker – Research Synthesis Methods, 2024
Meta-analyses have become the gold standard for synthesizing evidence from multiple clinical trials, and they are especially useful when outcomes are rare or adverse since individual trials often lack sufficient power to detect a treatment effect. However, when zero events are observed in one or both treatment arms in a trial, commonly used…
Descriptors: Meta Analysis, Error Correction, Computation, Simulation
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Jana Spear; Maria Tulis; Markus Dresel – Educational Psychology, 2024
Adaptive action-related reactions to errors, i.e. (meta-)cognitive processes and behaviours directly aimed at overcoming an error, have been proposed to benefit learning outcomes. However, causally interpretable findings are sparse in the current literature. Addressing this research deficit, the present study aimed at investigating whether…
Descriptors: Error Patterns, Error Correction, Student Reaction, Undergraduate Students
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Yajing Zhang; Thi Kim Truc Huynh; Benjamin James Dyson – npj Science of Learning, 2023
We argue that the feedback traditionally used to indicate negative outcomes causes future detrimental performance because of the default goal of "win maximization." In gaming paradigms where participants intentionally performed as well ("win maximization") and as poorly ("loss maximization") as possible, we showed a…
Descriptors: Feedback (Response), Gamification, Goal Orientation, Success
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Green, Kimberly M.; Ferrell, Lantz – Journal of Instructional Pedagogies, 2023
Functions and formulas in spreadsheets provide an instructional opportunity to help students build their skills in identifying errors in their own work and identifying a path to go about correcting the errors. This paper provides examples of functions and equations used to create two approaches to calculating the solution to one problem, such as a…
Descriptors: Spreadsheets, Problem Solving, Error Patterns, Error Correction
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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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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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Pham Sy Nam; Ngoc-Giang Nguyen; Hoa Anh Tuong; Ben Haas; Zsolt Lavicza; Yves Kreis – International Journal for Technology in Mathematics Education, 2023
Problem-based learning puts students in situations that suggest problems without providing instructions and available knowledge. Therefore, when using problem-based learning, students need to be flexible, self-disciplined, active and self-occupied with knowledge and turn the knowledge the teacher intends to impart into their knowledge. For locus…
Descriptors: Computer Software, Mathematics Instruction, Teaching Methods, Problem Based Learning
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Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction
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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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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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Stanley, T. D.; Doucouliagos, Hristos – Research Synthesis Methods, 2023
Partial correlation coefficients are often used as effect sizes in the meta-analysis and systematic review of multiple regression analysis research results. There are two well-known formulas for the variance and thereby for the standard error (SE) of partial correlation coefficients (PCC). One is considered the "correct" variance in the…
Descriptors: Correlation, Statistical Bias, Error Patterns, Error Correction
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