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Yasar C. Kakdas; Sinan Kockara; Tansel Halic; Doga Demirel – IEEE Transactions on Learning Technologies, 2024
This article presents a 3-D medical simulation that employs reinforcement learning (RL) and interactive RL (IRL) to teach and assess the procedure of donning and doffing personal protective equipment (PPE). The simulation is motivated by the need for effective, safe, and remote training techniques in medicine, particularly in light of the COVID-19…
Descriptors: Medical Education, Error Patterns, Error Correction, Reinforcement
Mehmet Gürbüz; Murat Basar – Reading Psychology, 2025
The purpose of this study is to examine the effect of using the wrongly read and written words in sentences on correcting the reading and writing errors of students with learning disabilities. The study group of this research, which was designed according to the qualitative action research, consisted of 13 second grade students and 7 primary…
Descriptors: Reading Skills, Writing Skills, Error Patterns, Students with Disabilities
Weisberg, Steven M.; Schinazi, Victor R.; Ferrario, Andrea; Newcombe, Nora S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Relying on shared tasks and stimuli to conduct research can enhance the replicability of findings and allow a community of researchers to collect large data sets across multiple experiments. This approach is particularly relevant for experiments in spatial navigation, which often require the development of unfamiliar large-scale virtual…
Descriptors: Programming, Error Patterns, Computer Simulation, Spatial Ability
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
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
Taylor, Sarah; Fawver, Bradley; Thomas, Joseph L.; Williams, A. Mark; Lohse, Keith R. – Journal of Motor Learning and Development, 2022
Contextual interference is an established phenomenon in learning research; random practice schedules are associated with poorer performance, but superior learning, compared with blocked practice schedules. We present a secondary analysis of N = 84 healthy young adults, replicating the contextual interference effect in a time estimation task. We…
Descriptors: Error Correction, Young Adults, Drills (Practice), Scheduling
Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
Costello, Eamon; Johnston, Keith; Wade, Vincent – Interactive Learning Environments, 2023
This research investigated how the bug tracker database of the Virtual Learning Environment (VLE) Moodle is developed as an application of crowd work. The bug tracker is used by software developers, who write and maintain Moodle's code, but also by a wider public world of ordinary Moodle users who can report bugs. Despite many studies of the…
Descriptors: Electronic Learning, Educational Technology, Computer Software, Cooperation
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
Attila M. Wind – Journal of Response to Writing, 2024
The positive effects of dynamic written corrective feedback (DWCF) on linguistic accuracy are well-documented (Evans et al., 2010). However, studies on DWCF without exception have adopted a pretest--posttest research design; therefore, they were unable to explore the dynamics of development (Larsen-Freeman, 2006). In addition, all previous DWCF…
Descriptors: Feedback (Response), Written Language, Undergraduate Students, Essays
Stouffer, Joe – Reading Teacher, 2021
Responding to recent challenges to Clay's Running Records (2019) and their analysis using a three-cueing system, the author examines this reading assessment from an additive perspective of both bottom-up and top-down orientations of reading instruction. Endorsing their inclusion among classroom reading assessments, the author navigates the tension…
Descriptors: Reading Instruction, Evaluation Methods, Student Evaluation, Reading Fluency
DiSanti, Brittany Marie; Eikeseth, Svein; Eldevik, Sigmund – International Electronic Journal of Elementary Education, 2023
We evaluated two procedures to teach auditory-visual conditional discriminations (receptive labeling) to children with autism. The procedures evaluated a modified Structured Mix (SM) procedure and a modified Counterbalanced Random Rotation (RR) procedure. The modified SM procedure was based on the logic of simplifying the task by breaking it down…
Descriptors: Auditory Discrimination, Visual Discrimination, Teaching Methods, Autism Spectrum Disorders
Trueman, Jennifer – Teaching Children Mathematics, 2019
Mistakes are a window into students' mathematical understanding. Taking the time to analyze mistakes can inform you of where students are in their thinking. They can also guide you with respect to how to proceed with instruction. Introduced here are two categories of mistakes: meaty mistakes and minor mistakes. Meaty mistakes demonstrate gaps in…
Descriptors: Error Patterns, Error Correction, Mathematics Skills, Mathematics Instruction
Beth A. Lindsey; Andrew Boudreaux; Drew J. Rosen; MacKenzie R. Stetzer; Mila Kryjevskaia – Physical Review Physics Education Research, 2024
In this study, we have explored the effectiveness of two instructional approaches in the context of the motion of objects falling at terminal speed in the presence of air resistance. We ground these instructional approaches in dual-process theories of reasoning, which assert that human cognition relies on two thinking processes. Dual-process…
Descriptors: Science Instruction, Teaching Methods, Instructional Effectiveness, Motion
Metcalfe, Janet; Huelser, Barbie J. – Grantee Submission, 2020
Many recent studies have shown that memory for correct answers is enhanced when an error is committed and then corrected, as compared to when the correct answer is provided without intervening error commission. The fact that the kind of errors that produced such a benefit, in past research, were those that were semantically related to the correct…
Descriptors: Recall (Psychology), Memory, Learning Processes, Error Patterns