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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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Yirong Guo; Yifan Song; Jianpeng Guo – Education and Information Technologies, 2025
The digital transformation in education and the widespread use of mobile devices have blurred the boundaries between students' learning and entertainment, increasing the prevalence of cyberloafing among college students. To address the inconsistent effects of cyberloafing on academic achievement, this study proposed a curvilinear relationship…
Descriptors: Academic Achievement, College Students, Time Management, Cognitive Ability
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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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Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
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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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Junjie Zhang; Enna Wang – Psychology in the Schools, 2025
Adolescent risk-taking behaviors, encompassing both positive and negative dimensions, play a pivotal role in shaping psychosocial adaptation. As prior research has predominantly adopted variable-centered approaches, the heterogeneity patterns of risk-taking behaviors and their differential associations with multidimensional adaptation remain…
Descriptors: Foreign Countries, Adolescents, Behavior Patterns, Risk
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Chen, Changsheng; Meng, Xiangzeng – International Journal of Distance Education Technologies, 2021
As a supplement to face-to-face teaching, small private online courses (SPOCs) have become increasingly popular in higher education. Nevertheless, there is a lack of research on behavioral patterns in the university SPOC. This empirical study investigates the behavioral patterns of 306 undergraduate students taking a degree course partially taught…
Descriptors: Student Behavior, Behavior Patterns, Outcomes of Education, Online Courses
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Çebi, Ayça; Araújo, Rafael D.; Brusilovsky, Peter – Journal of Research on Technology in Education, 2023
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at…
Descriptors: Individual Characteristics, Electronic Learning, Student Behavior, Learning Management Systems
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Sahin, Muhittin; Ifenthaler, Dirk – International Association for Development of the Information Society, 2022
Within digitally-supported learning environments, learners need to observe themselves so that they can reflect on their strengths and weaknesses and take a step toward autonomous learning. Within the scope of this research, a technology and analytics enhanced assessment environment in which students can assess themselves was implemented and…
Descriptors: Foreign Countries, College Students, Behavior Patterns, Learning Processes
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Bal, Ayten Pinar; Or, Merve Buse – Pedagogical Research, 2023
This study examined the relationship between secondary school students' problem-solving success and perceptions using a relational survey model. This study investigated 378 students (212 girls and 166 boys) in the sixth, seventh, and eighth grades between 11 and 14 years old using the convenience sampling method. The problem-solving inventory for…
Descriptors: Grade 6, Grade 7, Grade 8, Problem Solving
Buchholz, Janine – OECD Publishing, 2022
Many students view PISA as a low-stakes assessment. Their lack of willingness to give the assessment "their all" is reflected in students' performance. Boys are often disengaged, resulting in low test performance. Disengagement should be measured in various different ways to better understand it and improve assessment design.
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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Wu, Wen-Chi; Lin, I.-Ting; Chen Hsieh, Jun – Asia-Pacific Education Researcher, 2023
The knowledge of English idioms is essential for advanced English learning and application, particularly for English-as-a-foreign-language (EFL) learners. While studies have shown the benefits of mobile-assisted language learning (MALL) to facilitate English learning, few studies have examined the factors that may influence MALL in light of…
Descriptors: Foreign Countries, English, Language Patterns, Learning Modalities
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Xiao-Fan Lin; Gwo-Jen Hwang; Jing Wang; Yue Zhou; Wenyi Li; Jiachun Liu; Zhong-Mei Liang – Interactive Learning Environments, 2023
Augmented reality (AR) can represent a contextualised scientific inquiry environment in which students may explore the real world and develop science process skills via interacting with rich information from virtual systems. However, it remains a challenge for most students to complete scientific inquiry tasks without proper support. Research…
Descriptors: Computer Simulation, Active Learning, Inquiry, Behavior Patterns
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Pho, Hanh; Schartner, A. – Journal of Multilingual and Multicultural Development, 2021
Social contact has been found to be both a success factor and an outcome of the international student sojourn. This two-stage mixed-methods case study sought to ascertain the role of social contact in the academic adaptation of a sample of international students undertaking taught postgraduate degrees in the United Kingdom. A self-report survey (N…
Descriptors: Behavior Patterns, Intercultural Communication, Peer Relationship, Social Networks
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Lemay, David John; Bazelais, Paul; Doleck, Tenzin – Education and Information Technologies, 2020
Previous research has produced contrasting findings regarding the influence of social networking on academic performance. Many have found negative relationships but some have also demonstrated a positive effect for social networking on academic performance. Still others report no links between social networking and academic performance.…
Descriptors: Social Networks, Academic Achievement, Correlation, College Students
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