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Pamela Sheffler; Cecilia S. Cheung – Journal of Experimental Education, 2024
Parent's beliefs about intelligence can influence children's learning through parenting practices. It is unclear how parents' perceptions of the child's ability may affect these processes. This experimental study explored the joint effects of mothers' growth mindset and perceptions of child competence on their learning involvement. Children (N =…
Descriptors: Mothers, Parent Attitudes, Parent Participation, Behavior Patterns
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Nergiz Ercil Cagiltay; Sacip Toker; Kursat Cagiltay – Open Praxis, 2024
Massive Open Online Courses (MOOCs) now offer a variety of options for everyone to obtain a high-quality education. The purpose of this study is to better understand the behaviours of MOOC learners and provide some insights for taking actions that benefit larger learner groups. Accordingly, 2,288,559 learners' behaviours on 174 MITx courses were…
Descriptors: MOOCs, Behavior Patterns, Gender Differences, Age Differences
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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
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Iris Menu; Lanxin Ji; Tanya Bhatia; Mark Duffy; Cassandra L. Hendrix; Moriah E. Thomason – Child Development, 2025
Preterm birth poses a major public health challenge, with significant and heterogeneous developmental impacts. Latent profile analysis was applied to the National Institutes of Health Toolbox performance of 1891 healthy prematurely born children from the Adolescent Brain and Cognitive Development study (970 boys, 921 girls; 10.00 ± 0.61 years;…
Descriptors: Child Development, Premature Infants, Cognitive Development, Scores
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Hatice Yildiz Durak – Education and Information Technologies, 2025
Feedback is critical in providing personalized information about educational processes and supporting their performance in online collaborative learning environments. However, giving effective feedback and monitoring its effects, which is especially important in online environments, is a complex issue. Although providing feedback by analyzing…
Descriptors: Feedback (Response), Online Systems, Electronic Learning, Learning Analytics
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Collin A. Webster; Diana Mîndrila; Anthony D. Murphy; Ivana Banicevic; Dušan Peric; Dragan Stankic; Željko Banicevic – Psychology in the Schools, 2024
The interrelated nature of mental health and indicators of school success in children and adolescents has been under-investigated from a person-centered perspective. In this exploratory study, we examined patterns of health behavior in relation to mental health and school satisfaction. A convenience sample of 315 students (M[subscript age] =…
Descriptors: Foreign Countries, Behavior Patterns, Mental Health, Student Satisfaction
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Zuokun Li; Pey-Tee Emily Oon; Shaoming Chai – Education and Information Technologies, 2024
Promoting progressive discourse and sustained inquiry is a focus area of knowledge building research. Although different approaches for scaffolding productive discourse have been documented, the experimental investigation into the impact of teacher scaffolding on students' knowledge building processes and outcomes in technology-supported…
Descriptors: Scaffolding (Teaching Technique), Interaction, Behavior Patterns, Social Networks
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Jing Liu; Xuanyu Zhu; Chong Huang; Yujie Wang; Liyan Chang – Innovations in Education and Teaching International, 2024
With the widespread implementation of COVID-19 prevention and control measures during the pandemic, online classes have become a normal and indispensable part of college students' lives. Analysis of the factors affecting college students' behavioural intention towards online classes will help improve online class quality. This paper sets up a…
Descriptors: College Students, Student Motivation, Electronic Learning, Distance Education
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Camilla Svens-Liavåg; Johan Korhonen; Sol-Britt Arnolds-Granlund – Scandinavian Journal of Educational Research, 2024
The aim of this study was to examine what kind of school performance and behaviour profiles could be identified among students in the final grade of basic education in the Swedish speaking parts of Finland (N = 1149, grade 9), how these differed in temperament and how temperament could explain profile differences in first language (L1, Swedish)…
Descriptors: Foreign Countries, Adolescents, Grade 9, Academic Achievement
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Carey Bernini Dowling; C. Veronica Smith; Yue Yin; Jeffrey M. Williams – Journal of the Scholarship of Teaching and Learning, 2025
People view many attributes, including intelligence, through implicit theories (or mindsets). Entity mindsets position the attribute as unchangeable or static, whereas incremental mindsets see the attribute as malleable or capable of being changed/improved (Dweck & Leggett, 1988). The present studies examined a new questionnaire designed to…
Descriptors: Grade Point Average, Undergraduate Students, Study Habits, Intelligence
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Minkai Wang; Di Zhang; Jingdong Zhu; Hanjie Gu – Journal of Educational Computing Research, 2025
Scientific knowledge is often abstract and challenging, making it difficult for students to apply these concepts effectively. Digital game-based learning (DGBL) offers an engaging and immersive approach, but the fixed resources and predetermined learning paths in most games limit its ability to adapt to individual learners' needs. Large language…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Academic Achievement
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Shi Pu; Yu Yan; Brandon Zhang – Journal of Educational Data Mining, 2024
We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…
Descriptors: Prediction, Success, Data Analysis, Learning Analytics