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Luping Wang; Yun Hao; Shanshan Wang – Discover Education, 2025
In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…
Descriptors: College Students, Predictor Variables, Scores, Academic Achievement
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Mohammed Ali Assiri – Center for Educational Policy Studies Journal, 2025
This study investigated whether the big five factors of personality traits can predict academic department chairs' leadership practices. The study had a predictive research design; the data were collected from 424 participants in the 2023 academic year, and the instruments of this study were two questionnaires. The study found that the big five…
Descriptors: Personality Traits, Department Heads, Leadership, Predictor Variables
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Esra Eren; Funda Ergüleç; Ahmet Kara – Journal of Pedagogical Research, 2025
Understanding how resilience evolves across the lifespan is crucial for the development of targeted interventions and strategies aimed at promoting resilience. This study aims to investigate the complex interplay between resilience, positive personality traits, and hope in emerging adults. The criterion sampling method was employed to select…
Descriptors: Resilience (Psychology), Personality Traits, College Students, Psychological Patterns
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Abdullah Saykili; Sinan Aydin; Yusuf Zafer Can Ugurhan; Aylin Öztürk; Mustafa Kemal Birgin – Technology, Knowledge and Learning, 2025
Learning analytics offer unprecedented opportunities for tracking and storing learning behaviors, thereby providing chances for optimizing learner engagement and success. The limited adoption of learning analytics by educational institutions hinders efforts to optimize learning processes through organizational and educational interventions,…
Descriptors: Undergraduate Students, Online Courses, Learning Analytics, Student Characteristics
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Elizabeth J. Meinz; Jennifer L. Tennison; Whitney A. Dominguez – Teaching of Psychology, 2024
Background: Furnham and Hughes (2014) previously reported that a sample of adults was only able to recognize 37% of 249 myths based on those presented in Lilienfeld et al.'s (2009) Great Myths of Popular Psychology. Objective: We sought to replicate these findings and to investigate predictors (e.g., education, cognitive ability, and personality)…
Descriptors: Misconceptions, Psychology, Predictor Variables, College Students
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Karimatus Saidah; Achmad Dardiri; Pujiyanti Fauziah – Journal of Education and Learning (EduLearn), 2025
It is important for prospective elementary school teachers to know their epistemic beliefs because this is related to beliefs about how to teach in schools and how learning should be done, which are called pedagogical beliefs. This study aims to investigate whether epistemic beliefs can predict the pedagogical beliefs of prospective elementary…
Descriptors: Epistemology, Beliefs, Predictor Variables, Elementary School Teachers
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Amjid Khan; Arshad Hussain Afridi; Muhammad Kamal Khan; Pervaiz Ahmad – Asian Association of Open Universities Journal, 2025
Purpose: This empirical study was carried out to examine predictors of perceived usefulness of the learning management system (LMS) from the viewpoint of distance learning students of Allama Iqbal Open University (AIOU) Islamabad. Design/methodology/approach: This study used a positivist paradigm and a correlation research design. The information…
Descriptors: Learning Management Systems, Student Attitudes, Distance Education, Predictor Variables
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Charles O. Ogbaekirigwe; Ifeoma M.B. Ubah; Amarachi Salome Azubuike; Udodirim Angela Igwe; Ugochukwu Chinonso Okolie – Education & Training, 2025
Purpose: This study examines how and whether expectancy for success and task values influence students' persistence in work placement learning tasks (persistence). Also, it examines the mediating role of task values in the expectancy for success and students' persistence nexus. Design/methodology/approach: This is a two-study finding. In Study 1,…
Descriptors: Student Motivation, Predictor Variables, Academic Persistence, Job Placement
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Megan E. Kruskie; Rebecca L. Wisner; Jessica N. Byram; Tracy Vargo-Gogola; Andrew S. Deane – Anatomical Sciences Education, 2025
Pre-lab summary videos supplement gross anatomy courses by helping students navigate difficult concepts, increasing student confidence, and allowing for content review outside the laboratory. Few studies have examined the direct correlation between video viewing and performance outcomes. This study uses performance outcome data from six…
Descriptors: Anatomy, Video Technology, Program Effectiveness, Correlation
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Esther Noemi Quevedo Fernández; Karla Lucero Avalos-Baltodano; María Claudia Garcés-Elías; Roberto Antonio León-Manco; Cesar David Rojas-Senador – Tuning Journal for Higher Education, 2025
Terminal efficiency is an indicator that evaluates the productivity of a higher education institution and reflects a crucial aspect of the quality of its offered programmes. This study aimed to determine the successful graduation of undergraduate students from a dental school at a Peruvian university over six years, using the terminal efficiency…
Descriptors: Foreign Countries, Predictor Variables, Undergraduate Students, Graduation
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Ugochukwu Chinonso Okolie; Jive Lubbungu; Catherine U. Osuji; Ifeanyi M. Idike; Sylvanus Ochetachukwu Ugwuda; Christian Ehiobuche; Pethias Siame – International Journal for Educational and Vocational Guidance, 2025
This study examined the effects of career-related teacher support on Nigerian (N = 201) and Zambian (N = 192) university students' decisions to choose teaching as a career. In study 1 (Nigerian universities) and study 2 (Zambian universities), data were collected from students who took the 12 weeks of teaching practice exercise at three timepoints…
Descriptors: Foreign Countries, College Students, Career Choice, Teaching (Occupation)
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Ryan Sides; Debra S. Osborn; Ivey Walker; Jacob Stamm; Bobbi Villarreal – Journal of Postsecondary Student Success, 2025
College student athletes represent a unique subpopulation of university students. Balancing expectations for academics, practice, and performance leaves little time to engage in thoughtful career exploration and postgraduate planning. In the present study, 92 college student athletes (CSAs) completed surveys on career constructs known to impact…
Descriptors: College Students, Student Athletes, Career Exploration, Career Choice
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Kristina Jaskyte; Ashley Hunter; Anna Claire Mell – Innovative Higher Education, 2024
Higher education institutions recognize that today's problems are too complex to be conceptualized by a single discipline and are becoming increasingly committed to interdisciplinary work, as evidenced by the increasing number of interdisciplinary departments, internal funding opportunities, and research centers. Despite the widespread popularity…
Descriptors: Interdisciplinary Approach, Teamwork, Innovation, Universities
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Aarnes Gudmestad; Thomas A. Metzger – Language Learning, 2025
In this Methods Showcase Article, we illustrate mixed-effects modeling with a multinomial dependent variable as a means of explaining complexities in language. We model data on future-time reference in second language Spanish, which consists of a nominal dependent variable that has three levels, measured over 73 participants. We offer step-by-step…
Descriptors: Second Language Learning, Spanish, Applied Linguistics, Predictor Variables
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Ehab Gouda Tolba – International Journal of Technology in Education, 2025
This study aimed to identify the levels of computational thinking skills, computational self-efficacy, and academic well-being among students, identify the potential relationships among them, and determine the predictive effects of computational thinking skills and computational self-efficacy on academic wellbeing. The study used the following…
Descriptors: Computation, Thinking Skills, Self Efficacy, Predictor Variables
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