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Annalisa Soncini; Maria Cristina Matteucci; Carlo Tomasetto; Fabrizio Butera – British Journal of Educational Psychology, 2025
Background: Although it is well established that students' adaptive reactions towards errors promote learning outcomes, little is still known about the role of error feedback in promoting these reactions. Aim: Through a targeted intervention based on an online teaching unit, this study aimed at testing whether supportive error feedback promotes…
Descriptors: Error Patterns, Feedback (Response), Student Reaction, Intervention
Maria Tulis; Markus Dresel – British Journal of Educational Psychology, 2025
Background: Interest in the potential of learning from errors to benefit innovation and organizational and personal growth is currently increasing. In practice, individuals frequently do not appear to learn spontaneously from errors and setbacks without support. Based on prior work, this paper considers antecedents and consequences of adaptive…
Descriptors: Undergraduate Students, Student Attitudes, Beliefs, Student Motivation
Pervaiz Yaseeni; Fahim Rahimi; Fareed Sahil – Journal of Research Initiatives, 2024
Academic writing is a salient skill for medical students all over the world. Academic writing starts with composing effective paragraphs, laying the foundation for students' advancement in writing during college. This study investigated common mistakes in English paragraph writing committed by the first-year medical students of the Medicine…
Descriptors: Foreign Countries, Medical Students, Paragraph Composition, Scores
Janet Metcalfe; Judy Xu; Matti Vuorre; Robert Siegler; Dylan Wiliam; Robert A. Bjork – British Journal of Educational Psychology, 2025
Background: Although the generation of errors has been thought, traditionally, to impair learning, recent studies indicate that, under particular feedback conditions, the commission of errors may have a beneficial effect. Aims: This study investigates the teaching strategies that facilitate learning from errors. Materials and Methods: This 2-year…
Descriptors: Error Patterns, Error Correction, Direct Instruction, Test Preparation
J. Staal; K. Katarya; M. Speelman; R. Brand; J. Alsma; J. Sloane; W. W. Van den Broek; L. Zwaan – Advances in Health Sciences Education, 2024
Diagnostic errors are a major, largely preventable, patient safety concern. Error interventions cannot feasibly be implemented for every patient that is seen. To identify cases at high risk of error, clinicians should have a good calibration between their perceived and actual accuracy. This experiment studied the impact of feedback on medical…
Descriptors: Performance, Feedback (Response), Medical Students, Graduate Medical Education
Luiz Rodrigues; Guilherme Guerino; Thomaz E. V. Silva; Geiser C. Challco; Lívia Oliveira; Rodolfo S. da Penha; Rafael F. Melo; Thales Vieira; Marcelo Marinho; Valmir Macario; Ig I. Bittencourt; Diego Dermeval; Seiji Isotani – International Journal of Artificial Intelligence in Education, 2025
Intelligent Tutoring Systems (ITS) possess significant potential to enhance learning outcomes. However, deploying ITSs in global south countries presents challenges due to their frequent lack of essential technological resources, such as computers and internet access. The concept of AIED Unplugged has emerged to bridge this digital divide,…
Descriptors: Teacher Attitudes, Intelligent Tutoring Systems, Numeracy, Mathematics Education
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
Christina Areizaga Barbieri; Brianna L. Devlin – Journal of Computer Assisted Learning, 2024
Background: Providing students with worked out problem solutions is a beneficial instructional technique in STEM disciplines, and studying examples that have been worked out incorrectly may be especially helpful for reducing misconceptions in students with low prior content knowledge. However, past results are inconclusive and the effects of…
Descriptors: STEM Education, Misconceptions, Fractions, Error Patterns
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
Rafael Zaccaron; Donesca Cristina Puntel Xhafaj – PROFILE: Issues in Teachers' Professional Development, 2024
This mixed-methods study aims to investigate the bias in peer feedback. Thirty-two English as an additional language learners gave each other anonymous feedback on their texts. Half of the participants received feedback from their teacher disguised as peer feedback, while the other half received actual peer feedback. Data were collected through…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Peer Evaluation
Lisa F. Gusewelle – ProQuest LLC, 2024
This study examines the impact of the College, Career, and Community Writers Program (C3WP) on upper-elementary students' first draft writing quality, addressing the challenges teachers face in providing timely and effective feedback on extensive student writing, particularly in spelling, grammar, mechanics, and cohesion. The hypothesis posits…
Descriptors: Writing Instruction, Spelling, Grammar, Connected Discourse
Marília Nunes-Silva; Gleidiane Salomé; Fernando Lopes Gonçalves; Thenille Braun Janzen; Benjamin Rich Zendel – Research Studies in Music Education, 2024
Music performance is an intensive sensorimotor task that involves the generation of mental representations of musical information that are actively accessed, maintained, and manipulated according to the demands of the performance. Internal representations and external information interact through feedback and feedforward processes that adjust the…
Descriptors: Sensory Experience, Music Education, Musical Instruments, Video Technology
Ian Thacker; Hannah French; Shon Feder – International Journal of Science Education, 2025
Presenting novel numbers about climate change to people after they estimate those numbers can shift their attitudes and scientific conceptions. Prior research suggests that such science learning can be supported by encouraging learners to make use of given benchmark information, however there are several other numerical estimation skills that may…
Descriptors: Climate, Computation, College Students, Hispanic American Students
Beth Muthoni Kangangi; Catherine Waithera Ndung'U; Peter Kinyanjui Mwangi – International Journal of Education and Literacy Studies, 2024
The study examined the types of language errors made by learners in the English narrative essays. It also assessed the feedback techniques employed by teachers of English in the handling of language errors in the English narrative essays. A descriptive research design was employed to examine errors of English narrative essays of 181 form two…
Descriptors: Error Analysis (Language), English (Second Language), Second Language Learning, Second Language Instruction
UK Department for Education, 2024
This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Computational Linguistics
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