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Peer reviewed
Direct linkZhenhao 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
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
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
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
Download full textArathai 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
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
Jeewon Jeon; Daeun Park – Developmental Science, 2024
Persistence is a critical factor that significantly predicts life outcomes. Although individual differences in persistence emerge early in life, the knowledge of effective strategies for cultivating persistence in young children remains limited. Based on these two studies, we suggest that emotional validation, defined as the acceptance of emotions…
Descriptors: Preschool Children, Psychological Patterns, Persistence, Feedback (Response)
Nora McCarthy; Karen Neville; Andrew Pope – Discover Education, 2025
The terms 'feedback' and 'formative assessment' are ubiquitous in education, but their conceptual boundaries are ill-defined. This perspective piece explores the meaning of 'feedback' and 'formative assessment', revealing the entanglement and confusion that exists between these two terms. An argument for clarity of terms is made, to avoid…
Descriptors: Feedback (Response), Formative Evaluation, Definitions, Language Usage
Xiaomeng Huang; Xavier Ochoa – Journal of Learning Analytics, 2025
Collaboration skills are fundamental to effective collaborative learning, career success, and responsible citizenship. Collaborative learning analytics (CLA) systems hold significant potential in helping students develop these skills by automatically collecting group interaction data, analyzing skill levels, and providing actionable feedback so…
Descriptors: Learning Analytics, Cooperative Learning, Cooperation, Skill Development
Reneau, Franz H. – Assessment Update, 2023
In this article, the author revisits and expands on the insights shared during a panel discussion at the 2022 Assessment Institute, with a focus on exploring and perhaps challenging thinking around what assessment is, how this work is viewed by many stakeholders critical to the assessment process, and the "feast or famine" conditions…
Descriptors: Evaluation, Feedback (Response), Accreditation (Institutions), Educational Change
Jiali Song; Benjamin Wolfe – Cognitive Research: Principles and Implications, 2024
The low prevalence effect (LPE) is a cognitive limitation commonly found in visual search tasks, in which observers miss rare targets. Drivers looking for road hazards are also subject to the LPE. However, not all road hazards are equal; a paper bag floating down the road is much less dangerous than a rampaging moose. Here, we asked whether…
Descriptors: Traffic Safety, Motor Vehicles, Incidence, Identification
Tegan Little; Phillip Dawson; David Boud; Joanna Tai – Assessment & Evaluation in Higher Education, 2024
Student feedback literacy has been the subject of much conceptual literature; however, relatively little intervention research has investigated how and if it can be developed. Further, no evaluation of the current empirical literature has been conducted to assess which elements of feedback literacy can be successfully improved in practice, and…
Descriptors: Feedback (Response), Higher Education, College Students, Intervention
