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Miao Chao; Weiyi Sun; Jie Liu; Jiahui Ding; Ye Zhu – Journal of Computer Assisted Learning, 2025
Background: The use of social media among students has become debatable concern due to both positive and negative effects on academic performance. Yet, understanding of the diverse patterns of social media use and their influence on actual and perceived academic performance remains limited. Objectives: This study distinguishes between academic and…
Descriptors: Social Media, Performance, Influence of Technology, Predictor Variables
Christina Shane-Simpson; Tatiana Bakken – Teaching of Psychology, 2024
Background: College students frequently identify social media sites (SMSs) as in-class distractions, although students continue to use these sites during class. In a technology-driven world, students' fear of missing out (FOMO) may drive SMS behaviors, whereby classes and study time serve as obstacles to fulfilling one's social desires. Objective:…
Descriptors: Fear, Social Media, Influence of Technology, College Students
Conor O. Chandler; Irina Proskorovsky – Research Synthesis Methods, 2024
In health technology assessment, matching-adjusted indirect comparison (MAIC) is the most common method for pairwise comparisons that control for imbalances in baseline characteristics across trials. One of the primary challenges in MAIC is the need to properly account for the additional uncertainty introduced by the matching process. Limited…
Descriptors: Predictor Variables, Influence of Technology, Evaluation Methods, Methods Research
Emma Nicole Lomberg; Jacques Jordaan – SAGE Open, 2024
South African undergraduate university students face many unique challenges that put them at risk of developing mental health concerns such as depression, anxiety, stress, suicidal ideation, and posttraumatic stress disorder. However, psychological well-being has been found to play an essential role when it comes to effectively coping with and…
Descriptors: Foreign Countries, Undergraduate Students, Predictor Variables, Student Welfare
Ahmed Alsayer – International Journal of Web-Based Learning and Teaching Technologies, 2025
The current research sought to identify important student achievement predictors from past literature, then use a publicly available dataset to assess the statistical contribution of technology factors above and beyond previously established effects. Using TIMSS data from Saudi Arabia, with data from 5,453 students in fourth grade mathematics and…
Descriptors: Grade 4, Elementary School Students, Foreign Countries, Mathematics Achievement
Steven R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
Ndudi O. Ezeamuzie; Jessica S. C. Leung; Dennis C. L. Fung; Mercy N. Ezeamuzie – Journal of Computer Assisted Learning, 2024
Background: Computational thinking is derived from arguments that the underlying practices in computer science augment problem-solving. Most studies investigated computational thinking development as a function of learners' factors, instructional strategies and learning environment. However, the influence of the wider community such as educational…
Descriptors: Educational Policy, Predictor Variables, Computation, Thinking Skills
van Tonder, Johanna Isabella; Jordaan, Jacques; Esterhuyse, Karel – SAGE Open, 2023
Loneliness is a common concern among university students, as these individuals experience many of the risk factors associated with loneliness. This experience of loneliness tends to lead to numerous consequences such as negative self-evaluations, anxiety, and depression, which in turn lead to impaired concentration and a decline in academic…
Descriptors: Self Esteem, Interpersonal Competence, Interpersonal Communication, College Students
Haifa Alroqi; Ludovica Serratrice; Thea Cameron-Faulkner – Journal of Child Language, 2023
This study investigates the influence of the quantity, content, and context of screen media use on the language development of 85 Saudi children aged 1 to 3 years. Surveys and weekly event-based diaries were employed to track children's screen use patterns. Language development was assessed using JISH Arabic Communicative Development Inventory…
Descriptors: Foreign Countries, Toddlers, Mass Media Use, Television Viewing

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