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Delphine Franco; Ruben Vanderlinde; Martin Valcke – European Journal of Education, 2025
Complex competences, such as managing students' aggressive behaviour, are challenging to develop during teacher training. Recently, video-based simulations have been considered promising, yet suitable assessment instruments are limitedly available. This paper reports on the design and evaluation of a video-based assessment tool tailored to measure…
Descriptors: Preservice Teachers, Preservice Teacher Education, Student Behavior, Aggression
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Eleni Didaskalou; Amy M. Briesch; Robert J. Volpe; Christina Roussi-Vergou – Contemporary School Psychology, 2025
The study examines the psychometric properties of a translated version of the Integrated Teacher Rating Form (ITRF) for use in Greek schools. The ITRF is a 67-item targeted screening measure that can be used to identify students who demonstrate behaviors that interfere with their academic and social functioning and assist educators in designing…
Descriptors: Foreign Countries, Greek, Translation, Factor Structure
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Samuel Nii Boi Attuquayefio; David Aboagye-Darko; Amanda Quist Okronipa – International Journal of Educational Management, 2025
Purpose: Through the lens of the information systems success model, self-determination theory, and TAM2, this study proposes and tests an integrative model to investigate students' satisfaction with the use of e-learning systems in higher education institutions in a developing country context. Design/methodology/approach: This study adopted a…
Descriptors: Student Satisfaction, Electronic Learning, Learning Management Systems, Developing Nations
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Asmaa Thaer Aldulaijan; Shatha Mohammed Almalk – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study aimed to investigate the impact of generative artificial intelligence (GenAI) tools on postgraduate students' learning experiences. It examined how these students utilize GenAI tools, identified the perceived benefits of their use, and uncovered the challenges students face in their learning experiences with these tools.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Graduate Students
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Heather A. Dalal; Arthur Taylor; Sharon Whitfield – College & Research Libraries, 2025
Generation Z has come of age in a world inundated with an immediate and constant flow of information from a variety of sources. This information is usually uncurated, unverified, and presented in ways that make it difficult to discern the source and the veracity of the information. While previous generations had access to similar information, it…
Descriptors: Information Literacy, Student Attitudes, College Students, Generational Differences
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Dania Bilal; Li-Min Cassandra Huang – Information and Learning Sciences, 2025
Purpose: This paper aims to investigate user voice-switching behavior in voice assistants (VAs), embodiments and perceived trust in information accuracy, usefulness and intelligence. The authors addressed four research questions: RQ1. What is the nature of users' voice-switching behavior in VAs? RQ2: What are user preferences for embodied voice…
Descriptors: Undergraduate Students, Artificial Intelligence, Natural Language Processing, Information Retrieval
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Trang Minh Thai Phung – Journal of Applied Research in Higher Education, 2025
Purpose: This study examines the relationship between financial literacy and risk-taking behavior in the stock market for both graduates and undergraduates. Design/methodology/approach: This study conducted two surveys on two groups: graduates and undergraduates. The questionnaires were sent to the two groups via "Google Form". The…
Descriptors: Foreign Countries, Undergraduate Students, College Graduates, Financial Literacy
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Sally B. Shepley; Amy D. Spriggs; Mark Samudre; Kai M. O'Neill – Focus on Autism and Other Developmental Disabilities, 2025
Exercise is necessary for healthy living, yet individuals with intellectual disability (ID) remain strikingly inactive compared with nondisabled peers. To improve this outcome, individuals with ID can exercise independently by self-instructing. Self-instruction is considered a pivotal skill once it generalizes to untrained stimuli. This study used…
Descriptors: Students with Disabilities, Elementary School Students, Intellectual Disability, Exercise
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Brian A. Jackson; Pauline Moore; Jennifer T. Leschitz; Benjamin Boudreaux; Jo Caulkins; Shoshana R. Shelton – RAND Corporation, 2025
Violence by K-12 students is disturbingly common. Ensuring that schools have effective ways to identify and prevent such incidents is becoming increasingly important. Various concerning behaviors or disturbing communications, including direct threats, can precede acts of violence. Although removing every student exhibiting such behaviors might…
Descriptors: School Violence, Prevention, Intervention, Risk Assessment
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Erin Siostrom – Research in Science Education, 2025
Ongoing shortages of science, technology, engineering, and mathematics (STEM) teachers have prompted policy aimed at recruiting career change teachers as a solution. However, little is known about what deters career changers from becoming STEM teachers. This gap is explored through interviews with nine career changers who contemplated, but decided…
Descriptors: Career Choice, Decision Making, STEM Education, Science Teachers
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Ramírez, Paola – For the Learning of Mathematics, 2021
In this methodological paper, I present an enactivist approach to study how a student becomes coherently aware within a mathematics classroom, observing on the basis of my own observations of the learning of the students, acknowledging myself as part of the context, engaging with features of what I am seeing, demonstrating how through the…
Descriptors: Mathematics Education, Learning Processes, Observation, Mathematics Skills
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El Aouifi, Houssam; El Hajji, Mohamed; Es-Saady, Youssef; Douzi, Hassan – Education and Information Technologies, 2021
This paper analyzes how learners interact with the pedagogical sequences of educational videos, and its effect on their performance. In this study, the suggested video courses are segmented on several pedagogical sequences. In fact, we're not focusing on the type of clicks made by learners, but we're concentrating on the pedagogical sequences in…
Descriptors: Video Technology, Student Behavior, Prediction, Learning Analytics
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Oluwajana, Dokun; Adeshola, Ibrahim – Education and Information Technologies, 2021
The support for the use of Computer-Supported Collaborative Learning is a sign of contributions and support for in-class and out-of-class learning. This study investigates the perspective of student's digital multi-modal literacy on student's behavioral intention to use a CSCL. We proposed a theoretical model that examines student perspectives on…
Descriptors: Student Attitudes, Multiple Literacies, Student Behavior, Intention
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Lwande, Charles; Oboko, Robert; Muchemi, Lawrence – Education and Information Technologies, 2021
Learning Management Systems (LMS) lack automated intelligent components that analyze data and classify learners in terms of their respective characteristics. Manual methods involving administering questionnaires related to a specific learning style model and cognitive psychometric tests have been used to identify such behavior. The problem with…
Descriptors: Integrated Learning Systems, Student Behavior, Prediction, Artificial Intelligence
Rebecca D. Schilling – ProQuest LLC, 2021
The purpose of this study was to provide a qualitative approach to measuring the relationship between social capital and school attendance. The qualitative data was gathered via a survey and interviews of Schoolville School District (SSD) administrators. Social capital is a topic that continues to grow in regard to families, communities, and…
Descriptors: Students, Attendance Patterns, Social Capital, Relationship
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