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H. Grainger Clemson; D. Coyle – Learning Environments Research, 2025
With the policy to integrate as many young people as possible into mainstream education, schools and local authorities across Scotland endeavour to create the best conditions for learning and support the needs of all learners. As increased awareness of the importance of well-designed, agile learning spaces evolves, there is ongoing investment in…
Descriptors: Special Needs Students, Inclusion, Foreign Countries, Educational Environment
Marilisa Birello; Llorenç Comajoan-Colomé; Tania Salguero; Natxo Sorolla – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2025
This study explores the written corrective feedback provided by two university teachers in the academic texts written by their students. Specifically, it focuses on the relationship established between the linguistic and discursive errors identified by the teachers, the forms of feedback provided (direct, indirect, metalinguistic and…
Descriptors: Written Language, Feedback (Response), Error Patterns, College Students
Reva Mathieu; Duaa Alzahrani; Kara E. McGoey – Communique, 2025
Special educators who teach students with significant behavioral challenges may encounter frequent classroom crises. In these moments, they may feel overwhelmed, drained, or even reactive, as they navigate environments that may trigger a fight or flight response. Humble and compassionate approaches can lay the foundation for meaningful…
Descriptors: Student Behavior, Behavior Problems, Special Education Teachers, Altruism
Peter Wood; Elizabeth Malone – Journal of Research in Childhood Education, 2025
Emotions work, such as relational pedagogical approaches to teaching, and more targeted interventions designed to enhance children's social and emotional skills, known as competence promotion approaches, are now a central aspect of primary schooling. Yet, although evidence is forthcoming in terms of the content, focus, and effectiveness of some…
Descriptors: Emotional Response, Elementary School Teachers, School Personnel, Gender Differences
Charlott Sellberg; Amit Sharma – International Journal of Computer-Supported Collaborative Learning, 2025
Collaborative learning in high-fidelity simulators is an important part of how master mariner students are preparing for their future career at sea by becoming part of a ship's bridge team. This study aims to inform the design of multimodal learning analytics to be used for providing automated feedback to master mariner students engaged in…
Descriptors: Cooperative Learning, Learning Analytics, Simulation, Ethnography
Yingbin Zhang; Luc Paquette; Nigel Bosch – International Journal of Artificial Intelligence in Education, 2025
Understanding the transitions among affective states during computer-based learning may guide the design of affect-responsive learning environments. Current studies have focused on the marginal strength of an affect transition, which is the average transition tendency over possible affective states preceding the transition. However, marginal…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Learning Experience
Jan Vanhoof; Randi Buvens; Peter van Petegem – Research Papers in Education, 2025
The practice of school inspections is well-established across many European countries. While it is part of broader international traditions and trends, the Flemish Education Inspectorate takes a unique approach. The Education Inspectorate engages in dialogue with schools and operates in a participatory manner. This case study explores the effects…
Descriptors: Foreign Countries, Educational Quality, Institutional Evaluation, Elementary Schools
Yanyan Du – International Journal of Information and Communication Technology Education, 2025
Facing the urgent need for personalized and real-time interaction in music education, this study constructed an artificial intelligence-assisted interactive platform that offers targeted support in pitch recognition, rhythm training, and classroom feedback. Through function planning and algorithm optimization, it enables diversified…
Descriptors: Music Education, Artificial Intelligence, Technology Uses in Education, Music Techniques
Anthony R. Reibel – Journal of School Administration Research and Development, 2025
Traditional assessment design focuses on outcomes and often disregards how students perceive their abilities, process emotions, or self-express. This indifference can undermine assessment outcomes and evaluation reliability (Hattie, 2023; Nilson, 2023; Reibel 2022). This paper introduces "empathetic assessment design" (EAD), a framework…
Descriptors: Empathy, Evaluation Methods, Student Evaluation, Models
Lindsay Maffei-Almodovar; Peter Sturmey; Joshua Jessel – Journal of Behavioral Education, 2025
Pyramidal training is an effective model for disseminating behavior analytic skills. However, pyramidal training in research is often conducted in controlled university settings. Further, research that has evaluated the effectiveness of pyramidal training in classroom settings (see Pence et al. 2014) often focuses on improving the use of one…
Descriptors: Functional Behavioral Assessment, Training Methods, Training, Program Effectiveness
Sara-Marie Schön; Monika Daseking – Emotional & Behavioural Difficulties, 2025
Moral emotions offer a promising approach for preventing rule-breaking behaviour, whereby the development of prevention programmes requires testing associations between moral emotions and rule-breaking differentiated. The present study examined whether the relationship between moral emotions and rule-breaking behaviour varies depending on how…
Descriptors: Moral Values, Standards, Prevention, Antisocial Behavior
Nancy Arthur; Jon Woodend; José Domene – Journal of Career Development, 2025
Attention to the emotional aspects of international students' career development and transition experiences has been overshadowed by education as a pathway for improving future employment. This secondary analysis study aimed to understand the emotional experiences and reactions of international students as they transitioned from university to…
Descriptors: Foreign Students, Emotional Response, Student Attitudes, Adjustment (to Environment)
Chang Cai; Shengxin Hong; Min Ma; Haiyue Feng; Sixuan Du; Minyang Chow; Winnie Li-Lian Teo; Siyuan Liu; Xiuyi Fan – Education and Information Technologies, 2025
Analyzing the teaching and learning environment (TLE) through student feedback is essential for identifying curricular gaps and improving teaching practices. However, traditional feedback analysis methods, particularly for qualitative data, are often time-consuming and prone to human bias. Large Language Models (LLMs) offer a promising solution by…
Descriptors: Educational Environment, Feedback (Response), Measures (Individuals), Natural Language Processing
Jeffrey E. Anderson; Carlin A. Nguyen; Gerardo Moreira – International Journal of Information and Learning Technology, 2025
Purpose: This paper explores the integration of generative artificial intelligence (GenAI) into the Community of Inquiry (CoI) framework, focusing on how GenAI can dynamically personalize online learning environments. The study aims to examine how GenAI can enhance social, cognitive and teaching presence, thus meeting the diverse needs of…
Descriptors: Communities of Practice, Inquiry, Artificial Intelligence, Individualized Instruction
van der Linden, Wim J.; Choi, Seung W. – Journal of Educational Measurement, 2020
One of the methods of controlling test security in adaptive testing is imposing random item-ineligibility constraints on the selection of the items with probabilities automatically updated to maintain a predetermined upper bound on the exposure rates. Three major improvements of the method are presented. First, a few modifications to improve the…
Descriptors: Adaptive Testing, Item Response Theory, Feedback (Response), Item Analysis

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