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Anirudhan Badrinath; Zachary Pardos – Journal of Educational Data Mining, 2025
Bayesian Knowledge Tracing (BKT) is a well-established model for formative assessment, with optimization typically using expectation maximization, conjugate gradient descent, or brute force search. However, one of the flaws of existing optimization techniques for BKT models is convergence to undesirable local minima that negatively impact…
Descriptors: Bayesian Statistics, Intelligent Tutoring Systems, Problem Solving, Audience Response Systems
Marta Flores; Ester Miquel; David Duran – European Journal of Psychology of Education, 2025
This research focuses on the interaction between pairs of teachers who carry out Reciprocal Peer Observation (RPO) practices. The aim is to identify how teachers learn by building knowledge collaboratively during their participation in feedback meetings (the third stage of the RPO cycle). From an initial sample of 400 voluntary in-service…
Descriptors: Teacher Collaboration, Learning Processes, Cooperative Learning, Faculty Development
Gwo-Jen Hwang; Hsin Huang; Hui-Yun Chen – Education and Information Technologies, 2025
Enhancing students' civic literacy is considered an essential educational goal in the 21st century. Therefore, in the teaching process, how to provide students with opportunities to solve problems and how to provide immediate feedback to help students make correct decisions when facing real problems are important and challenging issues. Digital…
Descriptors: Civics, Positive Attitudes, Learning Processes, Behavior
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
Emine Cabi; Hacer Türkoglu – International Review of Research in Open and Distributed Learning, 2025
Recent advancements in educational technology have enabled teachers to use learning analytics (LA) and flipped classrooms. The present study investigated the impact of a LA-based feedback system on students' academic achievement and self-regulated learning (SRL) in a flipped learning (FL) environment. The study used a pretest-posttest control…
Descriptors: Learning Analytics, Feedback (Response), Academic Achievement, Independent Study
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
Ernesto Panadero; Alazne Fernández Ortube; Rebecca Krebs; Julian Roelle – Assessment & Evaluation in Higher Education, 2025
Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…
Descriptors: Scoring Rubrics, Teaching Methods, Learning Processes, Feedback (Response)
Yonatan Sharabi; Guy Roth – British Journal of Educational Psychology, 2025
Background: Research on learners' reactions to failure finds negative emotions may present an obstacle for learning; a painful experience of failure may result in disengagement and avoidance. However, research on styles of emotion regulation and learning from failure is scarce. Self-determination theory's (SDT) conception of adaptive and…
Descriptors: Student Reaction, Emotional Response, Academic Failure, Learning Processes
Limeng Wu; Tong Li – SAGE Open, 2025
While the significant impact of faculty feedback on student learning is well recognized, the intricate link between the quality of faculty feedback and students' deep approaches to learning, especially in the context of general education, has yet to be clarified. Employing a mixed-methods approach, this study examined the relationship between…
Descriptors: College Faculty, Feedback (Response), Educational Quality, General Education
Wan Fazwani Wan Mat; Lim Hooi Lian – Journal of Education and Learning (EduLearn), 2025
This bibliometric article examines the current state of publication in the field of classroom assessment, exploring the productivity and influence of countries, institutions, and authors. A search query of on the Scopus database using the term "classroom assessment" or "classroom-based assessment" or "assessment for…
Descriptors: Alternative Assessment, Student Evaluation, Bibliometrics, Formative Evaluation
Ole Eggers Bjaelde; David Boud; Annika Büchert Lindberg – Active Learning in Higher Education, 2025
Many students struggle with making sense of feedback information and in applying and transferring it to new contexts. Research literature suggests that low-performing students are especially at risk because they often do not understand assessment criteria and cannot utilise information they receive. This paper addresses this problem through…
Descriptors: Undergraduate Students, Academic Achievement, Feedback (Response), Evaluation Methods
Min Lee; Tan Roy Jun Yi; Chen Der-Thanq; Huang Jun Song; Hung Wei Loong David – Education and Information Technologies, 2025
A noticeable surge in students' widespread adoption of ChatGPT in the past year brought attention to the need for a deeper understanding of their interactions with this new technology. While attempts at theorising learner-ChatGPT interactions have been made, few studies offer empirical accounts of the interactions between learners and ChatGPT.…
Descriptors: Interaction, Man Machine Systems, Artificial Intelligence, Technology Uses in Education
Keru Li; Yanyan Li; Yansu Wang; Yunshan Chen; Wanqing Hu – Instructional Science: An International Journal of the Learning Sciences, 2025
The study examined the influence of feedback features on revision uptake in dialogic peer feedback activities, and the moderating effect of self-efficacy and prior knowledge on this relationship. Data were collected over a 10-week course at a comprehensive university in China, involving 29 students and resulting in 242 revision-oriented comments.…
Descriptors: Foreign Countries, College Students, Peer Evaluation, Feedback (Response)
Pekka Isotalus; Marja Eklund; Karoliina Karppinen – Communication Teacher, 2025
Traditionally, feedback is regarded as crucial in the context of learning and teaching public speaking. In the current course, we analyzed the feedback provided to students by an artificial intelligence (AI) coach and students' learning experiences in developing public-speaking skills via this tool. The MySpeaker Rhetorich speech coach application…
Descriptors: Artificial Intelligence, Public Speaking, Feedback (Response), Teaching Methods
Xiaona Xia; Wanxue Qi – European Journal of Education, 2025
Massive Open Online Courses (MOOCs) effectively support online learning behaviour; while constructing a sustainable learning process, MOOCs have also formed the social network. In addition, learners' burnout state has become a serious obstacle to the development and promotion of MOOCs. This study analyzes the potential social behaviour associated…
Descriptors: MOOCs, Burnout, Social Behavior, Feedback (Response)