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Peer reviewed
Download full textWanning Huang; Jason Michael Stephens; Gavin Thomas Lumsden Brown – International Journal of Technology in Education, 2025
Access to and use of feedback is a key element in students' acquisition of knowledge and skills. However, given limited educational resources and large classes, technology-enhanced feedback is taking on an increasing role in education. These systems can assist the feedback process holistically by generating, delivering, and using feedback. In…
Descriptors: Feedback (Response), Technology Uses in Education, Educational Research
Direct linkCatherine Patocka; Lara Cooke; Irene W. Y. Ma; Rachel H. Ellaway – Advances in Health Sciences Education, 2025
Although feedback is often presented as if it were a well-understood concept in health professions education, in practice it can mean many things. For some, feedback is a conversation about defining and improving performance, while for others it is the information generated by assessments and tools. Indeed, feedback has variously been defined as a…
Descriptors: Feedback (Response), Medical Education, Pattern Recognition, Educational Research
Zhenhao Cao; Zhicheng Mao – RELC Journal: A Journal of Language Teaching and Research, 2024
While a surge of research has investigated the use of reformulations and models as positive evidence feedback (PEF) in second language (L2) writing, so far no research synthesis seeking to review the status quo of this particular topic has been published. To fill the gap, the present study synthesized 23 studies on reformulations and models as PEF…
Descriptors: Feedback (Response), Second Language Learning, Students
Omar David Perez; Gonzalo P. Urcelay – npj Science of Learning, 2025
Goal-directed actions are sensitive to the causal association between actions and outcomes, as well as the value of those outcomes. Such sensitivity diminishes when actions become habitual. Based on recent findings in animals, we tested if delaying outcomes relative to actions would weaken sensitivity to outcome revaluation and reduce action…
Descriptors: Rewards, Delay of Gratification, Goal Orientation, Feedback (Response)
Wanyi Lyu; Jennifer S. Trueblood; Jeremy M. Wolfe – Cognitive Research: Principles and Implications, 2025
Low target prevalence affects perceptual decisions on both simple and complex stimuli. Without prior knowledge of how often targets may appear, trial-by-trial accuracy feedback modulates the effects of low prevalence partially by providing observers with information about the target base rate. Using simple colored dots, Lyu (PBR 28:1906-1914,…
Descriptors: Incidence, Feedback (Response), Identification, Cytology
Karl Lundengård; Peter Johnson; Phil Ramsden – International Journal for Technology in Mathematics Education, 2024
Formative feedback is important in learning. Automating the provision of specific, objective, constructive feedback to large cohorts requires complex algorithms that most teachers do not have time to develop, suggesting that a community effort is needed to create a library of specialised algorithms. We present an exemplar algorithm for a class of…
Descriptors: Automation, Feedback (Response), Algorithms, Science Education
Robson Gonçalves Fechine Feitosa; Gustavo Augusto Lima de Campos; Ismayle de Sousa Santos; Carlos Hairon Ribeiro Gonçalves; Antônio de Barros Serra; Alisson Romão de Oliveira; Pedro Lucas Pereira Feitosa; Yuri David Santos; Esdras Lins Bispo Jr.; Guilherme Álvaro Rodrigues Maia Esmeraldo – International Journal of Artificial Intelligence in Education, 2025
Many existing solutions for the automatic assessment of open-ended questions predominantly rely on machine learning models, primarily focusing on aspects such as writing style and assigning a final score. However, these solutions often overlook the crucial factor of feedback content relevance, specifically, how well the response aligns with the…
Descriptors: Competency Based Education, Skill Development, Artificial Intelligence, Feedback (Response)
A. Keith Young; Judith Mendoza Jimenez – Learning Professional, 2025
Feedback is essential for learning and a key component of career-long growth. Tailoring feedback formats is important to meet educators' unique needs and stages of development. Drawing on the authors' professional practice, three categories of feedback are defined and illustrated: (1) rapid response formats; (2) moderate engagement formats; and…
Descriptors: Feedback (Response), Teachers, Faculty Development, Methods
Mousa Javidialsaadi; Scott T. Albert; Badr Moufarrej S. Al Mutairi; Jinsung Wang – npj Science of Learning, 2025
When humans encounter the same perturbation twice, they typically adapt faster the second time, a phenomenon called savings. Studies have examined savings following adaptation to a gradually introduced perturbation, with mixed results. These inconsistencies might be caused by differences in how behavior returns to its baseline state during the…
Descriptors: Psychomotor Skills, Motor Reactions, Error Patterns, Feedback (Response)
Francisco Olivos; Minhui Liu – Field Methods, 2025
The rapid advancements in generative artificial intelligence have opened new avenues for enhancing various aspects of research, including the design and evaluation of survey questionnaires. However, the recent pioneering applications have not considered questionnaire pretesting. This article explores the use of GPT models as a useful tool for…
Descriptors: Artificial Intelligence, Questionnaires, Test Construction, Pretesting
Claudia Schmiedeberg; Jette Schröder – Field Methods, 2024
Although it has long been acknowledged that interviewers play a crucial role in the survey data collection process, there is little research concerning interviewer effects on how respondents perceive the interview. We investigate whether interviewer effects exist regarding how much respondents report having enjoyed the interview and whether these…
Descriptors: Interviews, Data Collection, Surveys, Attitudes
Lauren E. Bates; Sarah J. Myers; Edward L. DeLosh; Matthew G. Rhodes – Psychology Learning and Teaching, 2025
The present work assessed a quizzing method that combines the benefits of retrieval practice and feedback, whereby learners must continue taking quizzes until they achieve a perfect score with feedback provided (i.e., "mastery quizzing"). Across four experiments (n = 952; age 18-76, M = 37.10, SD = 11.61; 50% female, 48% male, 2% other…
Descriptors: Mastery Tests, Retention (Psychology), Evaluation Methods, Adults
Arathai Din Eak; Nagaletchimee Annamalai – Malaysian Journal of Learning and Instruction, 2025
Purpose: Video-based feedback presents a unique approach characterised by a conversational narrative and instructor screen captures, enriching students' learning experiences and fostering stronger instructor-student connections. While this innovative methodology has the potential to revolutionise feedback practices in higher education, its full…
Descriptors: Bibliometrics, Literature Reviews, Higher Education, Video Technology
Daniel M. K. Lam – ELT Journal, 2025
Feedback penetrates many walks of our lives, and its importance in L2 teaching and assessment is well recognised. However, while corrective feedback and writing feedback have been the focus of much L2 research and classroom practice, there seems relatively little attention to feedback on spoken interactional skills. Concomitantly, translating…
Descriptors: Feedback (Response), Peer Evaluation, Oral Language, Interaction
Sedigheh Karimpour; Ehsan Namaziandost; Hossein Kargar Behbahani – Journal of Educational Computing Research, 2025
As an integral part of dynamic assessment, computerized dynamic assessment (CDA) offers learners computer-assisted automated mediation. Accordingly, the possible efficacy of corrective feedback seems to be enhanced with new technologies, such as artificial intelligence tools, that offer automatic corrective feedback. Using technology-enhanced…
Descriptors: Computer Assisted Testing, Feedback (Response), Language Acquisition, Electronic Learning
