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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
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Frivold Kostøl, Elin Marie; Cameron, David Lansing – Education 3-13, 2021
The purpose of this study was to explore how first-grade teachers respond to pupils in emotional distress within the framework of co-regulation. Co-regulation in this context refers to an adult-child interactive process that supports children in learning to regulate their emotions. We conducted focus group interviews at four primary schools in…
Descriptors: Teacher Response, Emotional Response, Psychological Patterns, Elementary School Students
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Ghadah Al Murshidi; Galina Shulgina; Anastasiia Kapuza; Jamie Costley – Smart Learning Environments, 2024
Generative Artificial Intelligence (GAI) holds promise for enhancing the educational experience by providing personalized feedback and interactive simulations. While its integration into classrooms would improve education, concerns about how students may use AI in the class has prompted research on the perceptions related to the intention to…
Descriptors: Artificial Intelligence, Educational Experience, Feedback (Response), Interaction
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Tufford, Lea; Lee, Barbara; Thieu, Vivian; Zhao, Rose – Journal of Teaching in Social Work, 2023
Peer-to-peer role-play in social work education continues to have widespread use in the teaching of generalist social work skills. For many students, however, the unfamiliarity of role-playing the client in conjunction with discussing clinical concerns may lead them to become emotionally dysregulated during the social work-client encounter. To…
Descriptors: Emotional Response, Role Playing, Social Work, Professional Education
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Matthew Moreno; Keerat Grewal; Maria Cutumisu; Jason M. Harley – Educational Psychology Review, 2025
Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prediction, Algorithms
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Matthew Moreno; Keerat Grewal; Maria Cutumisu; Jason M. Harley – Educational Psychology Review, 2025
Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prediction, Algorithms
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Levin, Orna; Flavian, Heidi – European Journal of Teacher Education, 2022
Recently, simulation-based learning (SBL) has become an inseparable part of teacher-education. This case study examined the learning processes that preservice teachers experienced while participating in SBL. The main goal of the study was to identify the aspects of peer learning inherent to SBL that are beneficial for the teacher-education…
Descriptors: Preservice Teacher Education, Simulation, Preservice Teachers, Peer Teaching
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Giulia Messina Dahlberg; Susanne Gustavsson – Instructional Science: An International Journal of the Learning Sciences, 2025
This study investigates how vocational education and training prepares students for future professions characterized by technological advancements and demands for sustainability and innovation. Specifically, it examines simulator-based learning in the Natural Resource Program at three upper secondary schools in Sweden. Using a sociomaterial…
Descriptors: Career and Technical Education, Career and Technical Education Teachers, Teaching Methods, Simulation
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Andreas Haraldsrud; Tor Ole B. Odden – Chemistry Education Research and Practice, 2024
Sensemaking is an important way of learning and engaging in science. Research has shown that sensemaking activities, such as questioning, hypothesizing, and model building, are pivotal in developing critical thinking and problem-solving skills in science education. This paper investigates the role of computational simulations in facilitating…
Descriptors: Comprehension, Science Education, Learner Engagement, Chemistry
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Iza Marfisi-Schottman – International Journal of Learning Technology, 2023
Many pedagogical counsellors (PCs) are destabilised by the resistance, in various forms, that novice teachers display during their counselling sessions. It is in this context that we propose TGRIS, a peer-training method, with a virtual reality interview simulator, designed to help PCs become aware of their own emotions, and deal with them, when…
Descriptors: Professional Training, Computer Simulation, Simulation, Interviews
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Luo, Jiaorong; Yang, Mingcheng; Wang, Ling – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The increased Simon effect with increasing the ratio of congruent trials may be interpreted by both attention modulation and irrelevant stimulus-response (S-R) associations learning accounts, although the reversed Simon effect with increasing the ratio of incongruent trials provides evidence supporting the latter account. To investigate if…
Descriptors: Foreign Countries, Responses, Reaction Time, Accuracy
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Ghio, Fernanda Belén; Bruzzone, Manuel; Rojas-Torres, Luis; Cupani, Marcos – European Journal of Science and Mathematics Education, 2022
In the last decades, the development of computerized adaptive testing (CAT) has allowed more precise measurements with a smaller number of items. In this study, we develop an item bank (IB) to generate the adaptive algorithm and simulate the functioning of CAT to assess the domains of mathematical knowledge in Argentinian university students…
Descriptors: Test Items, Item Banks, Adaptive Testing, Mathematics Tests
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Kaitlin R. Sibbald; Diane E. MacKenzie – Journal of Occupational Therapy Education, 2024
Simulation has been recognized for its ability to develop competency-level skills and as a replacement for some introductory fieldwork (FW) hours. This study explored how occupational therapy competency-related skills developed over sequential in-person simulations across health practice contexts during Level 1 FW. Entry-to-practice occupational…
Descriptors: Occupational Therapy, Skill Development, Simulation, Field Experience Programs
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Debeer, Dries; Janssen, Rianne; De Boeck, Paul – Journal of Educational Measurement, 2017
When dealing with missing responses, two types of omissions can be discerned: items can be skipped or not reached by the test taker. When the occurrence of these omissions is related to the proficiency process the missingness is nonignorable. The purpose of this article is to present a tree-based IRT framework for modeling responses and omissions…
Descriptors: Item Response Theory, Test Items, Responses, Testing Problems
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Giada Spaccapanico Proietti; Mariagiulia Matteucci; Stefania Mignani; Bernard P. Veldkamp – Journal of Educational and Behavioral Statistics, 2024
Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…
Descriptors: Automation, Computer Assisted Testing, Ambiguity (Context), Item Response Theory
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