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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
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
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
Shittu, Ahmed Tajudeen; Kareem, Bamidele Wahab; Obielodan, Omotayo Olabo; Fakomogbon, Michael Ayodele – Contemporary Educational Technology, 2017
This study examined predictors of pre-service science teachers' behavioral intention toward e-resources use for teaching in Nigeria. The study used cross-sectional survey research method and a questionnaire with a set of items that measure technology preparedness, perceived usefulness, perceived ease of use and behavioral intention to gather the…
Descriptors: Preservice Teachers, Science Teachers, Student Behavior, Intention
Schlee, Regina Pefanis; Karns, Gary L. – Journal of Marketing Education, 2017
Several studies in the business press and in the marketing literature point to a "transformation" of marketing caused by the availability of large amounts of data for marketing analysis and planning. However, the effects of the integration of technology on entry-level jobs for marketing graduates have not been fully explored. This study…
Descriptors: Employment Qualifications, Marketing, Knowledge Level, Job Skills
Magen-Nagar, Noga; Shonfeld, Miri – Interactive Learning Environments, 2018
This quantitative research examined the contribution of an Online Collaborative Learning (OCL) program on attitudes towards technology in terms of technological anxiety, self-confidence and technology orientation among M.Ed. students. The advanced online collaborative program was implemented at two teacher training colleges in Israel for a period…
Descriptors: Electronic Learning, Cooperative Learning, Statistical Analysis, Anxiety
Blau, Gary; Drennan, Rob B.; Hochner, Arthur; Kapanjie, Darin – Journal of Education for Business, 2016
An online survey tested the impact of background, technological, and course-related variables on perceived learning and timely graduation for a complete data sample of 263 business undergraduates taking at least one online or hybrid course in the fall of 2015. Hierarchical regression results showed that course-related variables (instructor…
Descriptors: Undergraduate Students, Business Administration Education, Online Courses, Blended Learning
Kaluyu, Veronicah – Planning and Changing, 2015
In the 21st century, women and leadership have been a global topical issue, especially with countries trying to interpret and implement the millennium development goals, and with increased awareness of human rights. In Africa, political leadership among women has had its own challenges that range from social, cultural and even economic factors. In…
Descriptors: Foreign Countries, Socioeconomic Influences, Cultural Influences, Women Administrators