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Xiaona Xia; Wanxue Qi – Technology, Pedagogy and Education, 2025
One challenging issue in improving the teaching and learning methods in MOOCs is to construct potential knowledge graphs from massive learning resources. Therefore, this study proposes knowledge graphs driving online learning behaviour prediction and multi-learning task recommendation in MOOCs. Based on the knowledge graphs supported by…
Descriptors: Graphs, Knowledge Level, MOOCs, Prediction
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Richard J. Munthali; Chris G. Richardson; Julia Pei; Jean N. Westenberg; Lonna Munro; Randy P. Auerbach; Ana Paula Prescivalli; Melissa Vereschagin; Quinten K. Clarke; Angel Y. Wang; Daniel Vigo – Journal of American College Health, 2025
Objective: To identify subgroups of students with distinct profiles of mental health symptoms (MH) and substance use risk (SU) and the extent to which MH history and socio-demographics predict subgroup membership. Participants: University students (N = 10,935: 63% female). Methods: Repeated cross-sectional survey administered weekly to stratified…
Descriptors: Anxiety, Depression (Psychology), Drug Use, Risk
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Yael Yossel-Eisenbach; Aleksandra Gerkerova; Nitza Davidovitch – European Educational Researcher, 2025
The increasing reliance on digital technologies in higher education has significantly transformed teaching and learning practices, highlighting the distinct roles of research- and teaching-oriented faculty in digital pedagogy. Researchoriented faculty contribute to active digital learning by promoting critical thinking, problem-solving, and…
Descriptors: College Faculty, Teaching Methods, Learning Experience, Electronic Learning
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Fatma Merve Mustafaoglu; Fatma Alkan – Science Education International, 2025
Recycling waste is essential to mitigate environmental damage caused by human activity. Environmentally responsible behaviors, shaped during early ages, are closely linked to environmental attitudes, as demonstrated by prior research. This study aims to predict middle school students' recycling behaviors using machine learning algorithms. A…
Descriptors: Middle School Students, Recycling, Student Behavior, Artificial Intelligence
Kala Krishna; Pelin Akyol; Esma Ozer – National Bureau of Economic Research, 2025
Exams are designed to rank students objectively by their abilities, including elements such as time limits, the number and difficulty of questions, and negative marking policies. Using data from a lab-in-field experiment, we develop and estimate a model of student behavior in multiple-choice exams that incorporates the effects of time constraints…
Descriptors: Multiple Choice Tests, Student Behavior, Response Style (Tests), Time
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Emine Cabi – Education and Information Technologies, 2025
Learning Management System (LMS) can track student interactions with digital learning resources during an online learning activity. Learners with different goals, motivations and preferences may exhibit different behaviours when accessing these materials. These different behaviours may further affect their learning performance. The purpose of this…
Descriptors: Academic Achievement, Electronic Learning, Learning Management Systems, Student Behavior
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Mika Paananen; Anne Karhu; Asko Tolvanen; Hannu Savolainen – Journal of Positive Behavior Interventions, 2025
Check-in/Check-out (CICO) behavioral support has been implemented in Finnish School-Wide Positive Behavior Interventions and Support (SWPBIS) schools to cater to students who require personalized behavior support beyond the universal level. Previous studies have demonstrated the effectiveness of CICO as a behavioral support method. However,…
Descriptors: Intervention, Program Effectiveness, Foreign Countries, Elementary School Students
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Chih-Yueh Chou; Wei-Han Chen – Educational Technology & Society, 2025
Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…
Descriptors: Student Behavior, Help Seeking, Problem Solving, Information Retrieval
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Joseph Siegel – International Journal of Listening, 2025
Students take notes in various different ways and for numerous reasons. They have specific preferences in terms of note organization, use, and encoding techniques. At a broader level, they have individual views on the value of and habits related to notetaking. To account for both performance aspects of and individual stances on notetaking, the…
Descriptors: Notetaking, English for Academic Purposes, Foreign Countries, Secondary School Students
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Gillean McCluskey; Laura Robertson; Annie Taylor – Scottish Educational Review, 2025
This paper reports findings from a review of school exclusion policy and legislation in Scotland, conducted as part of a comparative study of school exclusion across the four UK jurisdictions by the Excluded Lives research group. Drawing on a range of policy sources, this paper adopts Hyatt's (2013) framework to contextualise school exclusion…
Descriptors: School Policy, Foreign Countries, Expulsion, Federal Legislation
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Annelise Mennicke; Jessamyn Bowling; Erika Montanaro; Madi Williams; Hannah Carlson; Victoria McClare; Erin A. Meehan; Jasmine Temple; Bridget N. Jules; Anvi Tirunagari; Neha Kissler; Phoebe Pruneda; Keshawn S. Mathews; Gabrielle Haley; Michael J. Brienzo; Iris F. McMillan; Anna Yoder; Casey Mesaeh; Christopher Correia; Sarah McMahon – Journal of American College Health, 2025
Objective: The study aimed to identify phases of bystander intervention (BI) for problematic alcohol use (PAU) among college students. Participants: Twenty focus groups and nine interviews were conducted. Methods: Transcripts were thematically analyzed. Results: The phases of the Bystander Intervention for Problematic Alcohol Use Model (BIPAUM)…
Descriptors: Intervention, Audiences, Alcohol Abuse, College Students
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William H. Jeynes – Urban Education, 2025
This article shares the results of a meta-analysis on the association between parent-teacher interaction using technology-based communication and parental-involvement, and its association with the academic and behavioral outcomes of urban students. This meta-analysis includes 31 quantitative studies and well over 20,000 students. The results…
Descriptors: Parent Participation, Computer Mediated Communication, Urban Education, Academic Achievement
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Cetken-Aktas, Sebnem; Sevimli-Celik, Serap – Early Childhood Education Journal, 2023
The aim of this study was to examine the design features of six outdoor play areas and the play preferences of children using these areas. Through the behavior mapping method, 102 preschoolers were observed for 3 days during their hour-long outdoor play time. The Playground's Physical Characteristics Scale and Play Observation Form were utilized…
Descriptors: Play, Preschool Children, Recreational Activities, Outdoor Education
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Hahnel, Carolin; Ramalingam, Dara; Kroehne, Ulf; Goldhammer, Frank – Journal of Computer Assisted Learning, 2023
Background: Computer-based assessment allows for the monitoring of reader behaviour. The identification of patterns in this behaviour can provide insights that may be useful in informing educational interventions. Objectives: Our study aims to explore what different patterns of reading activity exist, and investigates their interpretation and…
Descriptors: Reading Habits, Student Behavior, Hypermedia, Educational Assessment
McGregor, Wendolyn Suzanne – ProQuest LLC, 2023
The purpose of this quantitative correlational research was to examine if and to what extent principal support of school climate related to student weapons and student aggression incidents in a southwest school district. Three theoretical foundations supported this research: Socio-ecological theory, Social Learning Theory, and School Climate…
Descriptors: Principals, Educational Environment, Students, Weapons
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