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Rinthida Denphitat; Chintana Kanjanavisutt; Methinee Wongwanich Rumpagaporn – Higher Education Studies, 2025
The objective of this article is to develop a causal relationship factor model affecting entrepreneurial behavior for sustainable development using a mixed-methods research approach that integrated both quantitative and qualitative methodologies. The quantitative phase involved testing the causal relationships affecting entrepreneurial behavior by…
Descriptors: Causal Models, Entrepreneurship, Sustainable Development, Foreign Countries
The Relationship between Digital Literacy Levels and Lifelong Learning Tendencies of Future Teachers
Ebru Elçi – South African Journal of Education, 2024
With this research we aimed to determine the correlation between teacher candidates' digital literacy levels and lifelong learning tendencies. This research was created as a mixed methods research. The quantitative group of the research consisted of 650 teacher candidates studying at the education faculties of different universities in Istanbul in…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Digital Literacy
Jason Giersch – Journal of Student Affairs Research and Practice, 2024
Does political ideology affect how students judge situations? Although students who are liberal or conservative might both show political bias, they differ in their views of how the world works. This experiment conducted with 739 students manipulates ideology in a scenario about a student government regulating a biased student newspaper. Results…
Descriptors: Political Attitudes, Bias, Student Government, School Newspapers
Mohammed Alhwaiti – International Journal of Developmental Disabilities, 2024
The aim was to investigate the mediating role of emotional regulation and emotional expression in the relationship between autistic traits and empathy in Saudi students. Participants were undergraduate students at Umm Al-Qura University. A total of 398 questionnaires were sent out, and 260 valid questionnaires were received. Descriptive statistics…
Descriptors: Foreign Countries, Undergraduate Students, Emotional Response, Self Control
Olivia D. Perrin; Jinhyo Cho; Edward T. Cokely; Jinan N. Allan; Adam Feltz; Rocio Garcia-Retamero – Cognitive Research: Principles and Implications, 2025
Numerate people tend to make more informed judgments and decisions because they are more risk literate (i.e., better able to evaluate and understand risk). Do numeracy skills also help people understand regular science reporting from mainstream news sources? To address this question, we investigated responses to regular science reports (e.g.,…
Descriptors: Numeracy, Critical Thinking, Evaluative Thinking, Bias
Dani McCauley – Journal of College Student Retention: Research, Theory & Practice, 2025
This quantitative research study sought to examine the differences in retention and degree attainment for college students depending on their home locale and the location of their institution of attendance. Students were divided into four groups: rural students who attended a rural institution, rural students who attended an urban institution,…
Descriptors: Undergraduate Students, Rural Schools, Rural Population, Urban Universities
Kirikkaleli, Dervis; Ertugrul, Hasan Murat; Sari, Arif; Ozun, Alper; Kiral, Halis – Scandinavian Journal of Educational Research, 2021
The purpose of this study is to determine the direction of causality between the quality of education and technological development for the selected Northern European countries over the period 2006-2017. To this end, we employ the bootstrap panel causality test. The findings of our study indicate that the quality of education leads to changes in…
Descriptors: Educational Quality, Educational Policy, Educational Innovation, Technology Uses in Education
de Carvalho, Walisson Ferreira; Zárate, Luis Enrique – International Journal of Information and Learning Technology, 2021
Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…
Descriptors: Causal Models, Algorithms, Learning Analytics, Correlation
Cummiskey, Kevin; Adams, Bryan; Pleuss, James; Turner, Dusty; Clark, Nicholas; Watts, Krista – Journal of Statistics Education, 2020
Over the last two decades, statistics educators have made important changes to introductory courses. Current guidelines emphasize developing statistical thinking in students and exposing them to the entire investigative process in the context of interesting research questions and real data. As a result, many concepts (confounding, multivariable…
Descriptors: Statistics, Teaching Methods, Inferences, Guidelines
Yesilyurt, Ferahim; Solpuk Turhan, Nihan – Cypriot Journal of Educational Sciences, 2020
There are many different debates regarding the time spent on Instagram by social media addiction and life satisfaction. In consequence, in this research, it is aimed to reveal the variables that predict the time spent on Instagram by university students. The research is done in accordance with the causal and correlation model by using a…
Descriptors: Prediction, Life Satisfaction, Social Media, College Students
Ramos, Rosária; Gonçalves, Joaquim; Gonçalves, Sónia P. – Education Sciences, 2020
The perception that academic fraud is widespread in higher education affects the credibility of higher education schools, giving rise to doubts concerning the quality of learning and the students' preparation for their professional life. Academic misconduct is presently a common research area. However, higher education schools still seem unable to…
Descriptors: Cheating, Plagiarism, Deception, Integrity
Sözeri, Mahmut Can; Kert, Serhat Bahadir – International Journal of Computer Science Education in Schools, 2021
In this study, the effects of interactive video usage in programming education on academic achievement and self-efficacy perception of programming were investigated by taking into account learning styles. The research was patterned according to the causal-comparative model, and also, correlation analysis was performed for related research.…
Descriptors: Correlation, Interactive Video, Programming, Academic Achievement
Aaron Phipps; Alexander Amaya – Annenberg Institute for School Reform at Brown University, 2022
Given the simultaneous rise in time-to-graduation and college GPA, it may be that students reduce their course load to improve their performance. Yet, evidence to date only shows increased course loads "increase" GPA. We provide a mathematical model showing many unobservable factors -- beyond student ability -- can generate a positive…
Descriptors: Time Management, Time to Degree, Grade Point Average, Mathematical Models
Safsouf, Yassine; Mansouri, Khalifa; Poirier, Franck – Journal of Information Technology Education: Research, 2020
Aim/Purpose: This study focuses on the learners' success toward learning management systems in higher education in Morocco and also proposes a theoretical model to better understand the determinants of learners' satisfaction, self-regulation and continuance intention to use these systems. For this purpose, variables which may have a positive or…
Descriptors: Management Systems, Metacognition, Student Attitudes, College Students
Lo-Hua Yuan; Avi Feller; Luke W. Miratrix – Grantee Submission, 2019
Randomized trials are often conducted with separate randomizations across multiple sites such as schools, voting districts, or hospitals. These sites can differ in important ways, including the site's implementation, local conditions, and the composition of individuals. An important question in practice is whether--and under what…
Descriptors: Causal Models, Intervention, High School Students, College Attendance