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Antonio A. Morgan-López; Lissette M. Saavedra; Heather L. McDaniel; Stephen G. West; Nicholas S. Ialongo; Catherine P. Bradshaw; Alexandra T. Tonigan; Barrett W. Montgomery; Nicole P. Powell; Lixin Qu; Anna C. Yaros; John E. Lochman – Grantee Submission, 2024
Coping Power (CP) is a preventive intervention that focuses on reducing child externalizing problems. Although it is typically delivered in a group format (GCP), individually-delivered CP (ICP) has produced greater mean reductions in externalizing problems. However, standard analysis of randomized trials loses individual-level information…
Descriptors: Coping, Prevention, Intervention, Child Behavior
Elissavet Papageorgiou; Jacqueline Wong; Mohammad Khalil; Annoesjka J. Cabo – Journal of Learning Analytics, 2025
Behavioural engagement as a predictor of academic success hinges on the interplay between effort and time. Exploring the longitudinal development of engagement is vital for understanding adaptations in learning behaviour and informing educational interventions. However, person-oriented longitudinal studies on student engagement are scarce.…
Descriptors: Learner Engagement, Student Behavior, Electronic Learning, Web Based Instruction
Heather Whitaker – ProQuest LLC, 2024
The Every Student Succeeds Act was passed in 2015, requiring schools to choose an accountability measure to accompany standardized achievement assessments. This act charges schools to educate students on academic standards and address the whole student socially and emotionally. One climate variable not widely studied in America is students' sense…
Descriptors: Elementary Secondary Education, Discipline, Locus of Control, Behavior Patterns
Xiaona Xia; Wanxue Qi – European Journal of Education, 2025
Massive Open Online Courses (MOOCs) effectively support online learning behaviour; while constructing a sustainable learning process, MOOCs have also formed the social network. In addition, learners' burnout state has become a serious obstacle to the development and promotion of MOOCs. This study analyzes the potential social behaviour associated…
Descriptors: MOOCs, Burnout, Social Behavior, Feedback (Response)
Melvin Prince; Emma Wang – Journal of Further and Higher Education, 2024
Past studies of academic dishonesty typically have been grounded in the theory of planned behaviour. Key predictors of academic dishonesty variables under this framework generally have been attitudes towards academic dishonesty, the impact of peer pressure to engage in such acts, and individual perceptions of related acts. However, planned…
Descriptors: Integrity, Cheating, Ethics, Student Behavior
Berkan Celik; Kursat Cagiltay – Education and Information Technologies, 2024
MOOC learners come from different backgrounds, and they have various motivations and intentions for taking online courses. This study examines learner intentions with subsequent behaviors and the reasons for the intention-behavior gap in MOOCs. A total of four MOOCs from BilgeIs MOOC Portal was used in this study. This quantitative study with a…
Descriptors: Students, MOOCs, Intention, Student Behavior
Ariella Levenberg; Teres-Violet Mansour – RMLE Online: Research in Middle Level Education, 2025
This study explores teachers' perspectives on mandala coloring as a therapeutic tool for middle grades students with disruptive behavior disorders (DBDs). Employing an explanatory sequential mixed-methods design, the research first conducted qualitative interviews with ten experienced teachers, followed by teachers' quantitative assessments of 60…
Descriptors: Art, Freehand Drawing, Color, Middle School Students
Hengtao Tang; Yeye Tang; Miao Dai; Xu Du; Jui-Long Hung; Hao Li – TechTrends: Linking Research and Practice to Improve Learning, 2024
Blended learning, integrating online and in-person components, has been increasingly adopted in higher education to enhance students' learning experience and outcomes. While the advantages of blended learning are well-evidenced, research has primarily focused on the online pre-learning component, neglecting the significance of in-class activities.…
Descriptors: Blended Learning, Behavior Patterns, Learning Processes, Learning
Halim Acosta; Seung Lee; Daeun Hong; Wookhee Min; Bradford Mott; Cindy Hmelo-Silver; James Lester – International Educational Data Mining Society, 2025
Understanding the relationship between student behaviors and learning outcomes is crucial for designing effective collaborative learning environments. However, collaborative learning analytics poses significant challenges, not only due to the complex interplay between collaborative problem-solving and collaborative dialogue but also due to the…
Descriptors: Learning Analytics, Cooperative Learning, Student Behavior, Prediction
E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
Li, Xiaoyin; Clarke, Nickeisha; Kim, Su-Young; Ray, Anne E.; Walters, Scott T.; Mun, Eun-Young – Journal of American College Health, 2022
Objective: To examine race, gender, and alcohol use level as moderators of the association between protective behavioral strategies (PBS) and alcohol-related problems. Participants: A sample of 12,011 participants who reported recent drinking (87.7% White, 61% Women) from Project INTEGRATE, a study that combined individual participant data (IPD)…
Descriptors: Alcohol Abuse, Drinking, Student Behavior, Race
Esteban Villalobos; Isabel Hilliger; Carlos Gonzalez; Sergio Celis; Mar Pérez-Sanagustín; Julien Broisin – Journal of Learning Analytics, 2024
Researchers in learning analytics have created indicators with learners' trace data as a proxy for studying learner behaviour in a college course. Student Approaches to Learning (SAL) is one of the theories used to explain these behaviours, distinguishing between deep, surface, and organized study. In Latin America, researchers have demonstrated…
Descriptors: Learning Analytics, Academic Achievement, Role Theory, Learning Processes
Hui Shi; Yihang Zhou; Vanessa P. Dennen; Jaesung Hur – Education and Information Technologies, 2024
The imbalance in student-teacher ratio and the diversity of student population pose challenges to MOOC's quality of instructor support. An understanding of student profiles, such as who they are and how they behave, is critical to improving personalized support of MOOC learning environments. While past studies have explored different types of…
Descriptors: MOOCs, Behavior Patterns, Student Behavior, Cluster Grouping
Xiaona Xia; Wanxue Qi – Education and Information Technologies, 2024
The full implementation of MOOCs in online education offers new opportunities for integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment between online learning content and learning behaviors. However, it also presents new challenges, such as a high rate of STEM dropouts. Many learners struggle to establish…
Descriptors: Graphs, MOOCs, STEM Education, Learning Processes
Rose Sebastian; Anandita Krishnamachari; Andrew McCartney – Journal of Education for Teaching: International Research and Pedagogy, 2024
Consultation evenings, also known as parent-teacher conferences, are important opportunities for teachers to strengthen their relationships with caregivers. Many teachers, however, are unprepared, having had few opportunities to build skills and participate in real consultations during teacher training. To provide student teachers with more…
Descriptors: Student Teachers, Parent Teacher Conferences, Simulation, Behavior Patterns

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