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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
Edward J. Alexander – ProQuest LLC, 2024
Psycholinguistic research aims to understand how people make sense of language in their everyday lives. However, most of this research studies language under experimental conditions in which people are instructed to specifically monitor (and indicate) when there is a breakdown in their understanding. Moreover, there is an assumption that people…
Descriptors: Reading Comprehension, Reading Skills, Psycholinguistics, Reading Research
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Moretti, Luca; Koch, Iring; Steinhauser, Marco; Schuch, Stefanie – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Studies of switching between tasks and studies of error commission have both provided solid behavioral measures of executive control. Nonetheless, a gap remains between these strands of research. In three experiments we sought to reduce this gap by assessing the impact of task errors on N-2 repetition costs, an effect supposedly related to…
Descriptors: Task Analysis, Error Patterns, Cognitive Ability, Attention Control
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Daliri, Ayoub – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The speech motor system uses feedforward and feedback control mechanisms that are both reliant on prediction errors. Here, we developed a state-space model to estimate the error sensitivity of the control systems. We examined (a) whether the model accounts for the error sensitivity of the control systems and (b) whether the two systems…
Descriptors: Speech Communication, Psychomotor Skills, Prediction, Error Patterns
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Xu, Yi – Interpreter and Translator Trainer, 2023
The research on interpreting aptitude has focused on the abilities, skills and personal traits of individuals in order to predict their future interpreting performance. However, an important variable between the personal characteristics and success of trainee interpreters in interpreter training, which is instructional practices, is overlooked.…
Descriptors: Prediction, Language Aptitude, Feedback (Response), Short Term Memory
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Kourtali, Nektaria-Efstathia; Révész, Andrea – Language Learning, 2020
This study investigated the effects of task complexity on child learners' second language (L2) gains, the relationship between aptitude and L2 development, and the extent to which task complexity influences this relationship when recasts are provided. Sixty child EFL learners were assigned to two experimental groups. During the treatment, one…
Descriptors: Language Aptitude, Second Language Learning, Comparative Analysis, Task Analysis
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
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis