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Direct linkRobson 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
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
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
Floris M. van Blankenstein; Kim J. H. Dirkx; Nathalie M. F. de Bruycker – Educational Research and Evaluation, 2025
Peer feedback can be an effective learning aid. However, providing peer feedback so that it is used by the receiver, is very difficult. Adding feedback requests to the peer feedback process may improve the quality of peer feedback. However, little is known about how feedback requests affect peer feedback responses. In this study, fifty-four…
Descriptors: Peer Evaluation, Feedback (Response), Graduate Students, Masters Theses
Xiaomei Hong; Zhehan Jiang; Hanyu Liu; Fen Cai – Educational Measurement: Issues and Practice, 2025
Job and practice analysis is a commonly used method for determining examination content specifications. However, difficulties arise when many domains are present, as mainstream approaches do not fully adhere to the essence of the weighing process, namely a "comparison-evaluation-decision" framework for assigning percentage values to the…
Descriptors: Foreign Countries, Medical Education, Licensing Examinations (Professions), Content Analysis
Anthony S. Bryk; Angel Yee-Lam Li; Stuart Luppescu; Mai Anh Bui – Peabody Journal of Education, 2025
This is the second article in a series of three in this special issue on establishing a boundary object to foster network health and development. The first article laid out the theoretical rationale for an Improvement Network Health and Development Framework. This article details the efforts to develop a set of practical measures tied to this…
Descriptors: Validity, Networks, Measurement Techniques, Reliability
Ying Zhan; Zhi Hong Wan; Munty Khon – Teaching in Higher Education, 2025
Student feedback literacy is emphasised in recent literature as a critical attribute of university graduates. Although the impacts of epistemic beliefs on specific dimensions of student feedback literacy have been discussed in the literature, there is still a lack of quantitative research to investigate the strength of such impacts. This study…
Descriptors: Undergraduate Students, Prediction, Feedback (Response), Multiple Literacies
Bruce Bowles Jr.; Jakob Davis; Felicia Juliano – Journal of Response to Writing, 2025
Although some literature addresses response in the context of thesis projects, the student perspective remains notably absent from response scholarship. This article brings the students' perspectives into focus by presenting a collaborative account from two thesis students and their advisor. The study explores the advisor-student relationship and…
Descriptors: Graduate Students, Faculty Advisers, Teacher Student Relationship, Feedback (Response)
Zumrotul ‘Aliyah; Sunaryono Sunaryono; Khusaini Khusaini; Bakhrul Rizky Kurniawan – Journal of Science Learning, 2025
In the context of physics education, it is imperative that educators prioritize the development of students' problem-solving abilities. Given the interdisciplinary nature of physics and its relevance to everyday life, students must possess robust problem-solving skills. However, conventional and uninspiring learning approaches have been shown to…
Descriptors: Feedback (Response), Web Sites, Educational Technology, Problem Solving
Ashley Rila; Allison L. Bruhn; Alex Pauls – Preventing School Failure, 2025
High rates of teacher praise are associated with positive student outcomes (Royer et al., 2019). Research shows secondary teachers deliver more reprimands than praise (e.g. Floress et al. 2022). Performance feedback (PF) is a strategy used to change teacher behaviors. However, it is unknown if PF targeting praise and reprimands for secondary…
Descriptors: Literature Reviews, Feedback (Response), Intervention, Secondary School Teachers
