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Paula Clasing-Manquian; John Gonzalez – Field Methods, 2025
Web surveys are popular in social sciences for reaching a large audience at a low cost and in a short period. However, response rates and nonresponse bias are still issues of concern. Using a factorial randomized control trial design, this study explores whether different communication emails affect response rates, representativeness, and response…
Descriptors: Online Surveys, Doctoral Students, Intervention, Response Rates (Questionnaires)
Raphaëlle Aulagnon; Julian Cristia; Santiago Cueto; Ofer Malamud – National Bureau of Economic Research, 2025
We examine whether highlighting streaks--instances of repeated and consecutive behavior when completing learning tasks--encourages 4th to 6th grade students in Peru to increase their use of an online math platform and improve learning. 60,000 students were randomly assigned to receive messages that (i) highlighted streaks, (ii) provided…
Descriptors: Foreign Countries, Student Behavior, Grade 4, Grade 5
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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
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Valentine Joseph Owan; Ibrahim Abba Mohammed; Ahmed Bello; Tajudeen Ahmed Shittu – Contemporary Educational Technology, 2025
Despite the increasing interest in artificial intelligence technologies in education, there is a gap in understanding the factors influencing the adoption of ChatGPT among Nigerian higher education students. Research has not comprehensively explored these factors in the Nigerian context, leaving a significant gap in understanding technology…
Descriptors: Student Behavior, Foreign Countries, Artificial Intelligence, Natural Language Processing
Xiaona Xia; Wanxue Qi – Routledge, Taylor & Francis Group, 2025
This book aims to fully demonstrate the burnout of learners in online learning processes. The authors propose a series of feasible and reliable solutions to sufficiently obtain and analyze massive instances of online learning behavior. In order to flexibly perceive and intervene in the "burnout state" and improve online learning…
Descriptors: Burnout, Online Courses, Technology Uses in Education, Prevention
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Dwi Sulistyaningsih; Stevanus Budi Waluya; Isnarto; Sugiman – Educational Process: International Journal, 2025
Background/purpose: This study aims to analyze students' ability to solve differential calculus problems in relation to their prior mathematical knowledge (PMK). Materials/methods: A qualitative research design method was employed. Participants in this study were 103 third-semester students at the university enrolled in the Differential Calculus…
Descriptors: College Students, Mathematics Education, Calculus, College Mathematics
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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
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Kaveh Jalilzadeh; Ferdi Çelik; Volkan Duran – European Journal of Education, 2025
Research on artificial intelligence (AI) in higher education largely emphasises technical performance and outcomes, leaving student views of teacher interpersonal behaviours in AI-mediated classrooms insufficiently understood. In response, this study applied Q methodology, supported by content and sentiment analyses, to examine student…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, College Students
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Rachel T. Pearce; Adrian B. Kelly; Marilyn A. Campbell – Review Journal of Autism and Developmental Disorders, 2025
Anxiety disorders occurs at a high rate amongst autistic children. Cognitive behaviour therapy (CBT) is a reasonably well-established multi-component intervention used to reduce anxiety in this population. Whilst there are known effective intervention components in CBT for treating anxiety among autistic children, there are few guidelines for how…
Descriptors: Anxiety Disorders, Autism Spectrum Disorders, Children, Cognitive Restructuring
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Yuxiao Han – European Journal of Education, 2025
As technology is gradually embedded in academic contexts, understanding the relational dynamics that sustain students' achievement in Technology-Enhanced Learning (TEL) settings has become critical. This study explores how teacher-student rapport (TSR) and teacher immediacy behaviours influence learners' engagement and well-being in TEL…
Descriptors: Teacher Student Relationship, Teacher Behavior, Learner Engagement, Student Welfare
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Matthew Bunn; Matt Lumb – Australian Educational Researcher, 2025
Higher education study has become more accessible to rural places through the development of stronger technologies, interfaces and pedagogy for online study. However, while these have made higher education more accessible, they also overlook the substantial impact that social circumstances and resources have on the means to meaningfully…
Descriptors: College Students, Student Attitudes, Electronic Learning, Context Effect
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Anas Rohman; Rusdarti; Kardoyo; Sungkowo Edy Mulyono – European Journal of STEM Education, 2025
This study developed and evaluated the effectiveness of a character education management model based on a behavioral counseling approach in improving student character in high schools. Using a mixed approach that combined research and development (R&D) with quasi-experimental validation, this study involved 65 students from two high schools in…
Descriptors: High School Students, Values Education, Behavior Modification, Counseling
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J. Dylan Burton – Modern Language Journal, 2025
This study investigated linguistic laypersons' use of nonverbal behavior when formulating judgments of second language (L2) ability. Eighty-three first language (L1) English-speaking participants watched and rated samples of L2 English speakers on language and affective dimensions. Twenty of the participants later took part in stimulated verbal…
Descriptors: Nonverbal Communication, Second Language Learning, English (Second Language), Affective Behavior
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Xiuling He; Leyao Zhang; Yangyang Li; Xiong Xiao; Haojie Wang; Di Wu – Education and Information Technologies, 2025
With the development of mobile Internet and digital technologies, online education platforms transcend time and space constraints to provide ubiquitous learning environments. However, high dropout rates and low pass rates pose a great challenge. Predicting student performance enables early identification of academic failure tendencies,…
Descriptors: Prediction, Online Courses, Electronic Learning, Data Use
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Zakharova, Vera A.; Chernov, Ilya V.; Nazarenko, Tatiana I.; Pavlov, Pavel V.; Lyubchenko, Vasily S.; Kulikova, Anna A. – Cypriot Journal of Educational Sciences, 2020
This paper describes the importance of theoretical understanding of modern social health, educational and environmental behavior of students in the digital age. The purpose of this research is to analyze the concepts and trends of social health and environmental behavior of students in the context of modern social digitalization process. The paper…
Descriptors: Student Behavior, Health Behavior, Educational Technology, Technology Uses in Education
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