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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
Karabiyik, Ceyhun; Baturay, Meltem Huri; Özdemir, Muzaffer – Participatory Educational Research, 2021
Learning and teaching is fostered to a great deal by technology. Cell phones and internet can be utilized as effective tools in providing extended and diversified learning opportunities as well as promoters of learning and teaching. However, early internet-enabled cell phones or more recent smartphones have also become easily accessible avenues of…
Descriptors: Intention, Student Attitudes, Student Behavior, Behavior Standards
Kemp, William M., Jr. – ProQuest LLC, 2018
Smartphones and their impact on academic success was chosen as the research topic for this dissertation. This was chosen because smartphones have become very popular tools for many people, especially for students in an educational setting. Further, the use of these devices and others, such as laptops and tablets, has aided students in boosting…
Descriptors: Handheld Devices, Addictive Behavior, Telecommunications, Correlation
Khan, Razia; Pramjeeth, Shamola; Kader, Abdulla – Africa Education Review, 2018
Recent sustainability and training and development reports have shown that banks are increasingly investing in training and development. While most banks are already utilising different forms of e-learning for certain types of training interventions and employee assessments, the focus going forward is to reinvent training within the organisation…
Descriptors: Educational Technology, Banking, Training Methods, Organizational Culture
Kim, Sunha – Journal of Educational Computing Research, 2018
This study compared the direct, indirect, and total effects of information, communication, and technology (ICT) variables on math achievement for second-generation immigrant, first-generation immigrant, and nonimmigrant students. A path model was used to analyze U.S. nationally representative data from the Program for International Student…
Descriptors: Immigrants, Migrant Children, Migrant Education, Predictor Variables
Beck, Leesa; Wright, Alexis – College and University, 2019
The oldest Millennials are now well-established in their careers, requesting flex schedules so they can take their kids to soccer practice in the afternoons; they have little in common with the typical 18- to 22-year-old undergraduate in many college classrooms. For faculty at campuses serving primarily traditional students, it seems like a good…
Descriptors: Undergraduate Students, Age Groups, Student Characteristics, Cohort Analysis
Sherven, Peggy J. – ProQuest LLC, 2016
This study explored the factors that impact students' perception of technology benefits and their impact on overall university student satisfaction of 522 undergraduate students at a large Midwestern research university. The purpose of the study was to identify personal (input) and environmental measures that impact student's overall university…
Descriptors: Undergraduate Students, Student Satisfaction, Student Experience, Path Analysis
Huang, Xiangyun – ProQuest LLC, 2018
Social media has been increasingly used in education to facilitate innovative instruction. Mainland Chinese people could not use popular social media platforms such as Facebook™ because the government blocked them. Little research studied social media use by Mainland Chinese students and teachers in the isolated network environment. This…
Descriptors: Social Media, College Faculty, Instructional Innovation, Statistical Analysis
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