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Yu-Yin Wang – Education and Information Technologies, 2025
Considering the proliferation of artificial intelligence (AI) technologies, it has become crucial to integrate AI-related knowledge and skills education into business management curricula. This is a significant concern for both academics and practitioners. However, in the context of university business management education, few studies have…
Descriptors: Individual Differences, Intention, Artificial Intelligence, Technology Uses in Education
Rundle, Kiata; Curtis, Guy J.; Clare, Joseph – International Journal for Educational Integrity, 2023
Contract cheating -- students outsourcing assignments to ghost-writers and submitting it as their own -- is an issue facing tertiary education institutions globally. Approximately 3% to 11% of higher education students may engage on contract cheating. Understanding why nearly 90% of students do "not" engage in contract cheating is as…
Descriptors: College Students, Cheating, Outsourcing, Psychological Patterns
Bruso, Jacqueline; Stefaniak, Jill; Bol, Linda – Educational Technology Research and Development, 2020
Each learner brings a unique mix of personality traits, preferences, and talents to the educational setting. These factors can influence the extent to which learners are able to effectively deploy skills and strategies to achieve their academic goals. Gaining a deeper awareness of how specific personality traits play a role in the choice and…
Descriptors: Personality Traits, Predictor Variables, Self Management, Learning Strategies
Jung, Daniel; DiBartolomeo, Megan; Melero-García, Fernando; Giacomino, Lindsay; Gurzynski-Weiss, Laura; Henderson, Carly; Hidalgo, Marian – Studies in Second Language Learning and Teaching, 2020
Individual differences (IDs) have long been considered one of the most important factors explaining variable rates and outcomes in second language acquisition (Dewaele, 2013). While traditional operationalizations of IDs have, explicitly or implicitly, assumed that IDs are static traits that are stable through time, more recent research inspired…
Descriptors: Individual Differences, Longitudinal Studies, Second Language Learning, Student Motivation
Kupers, Elisa; Lehmann-Wermser, Andreas; McPherson, Gary; van Geert, Paul – Review of Educational Research, 2019
Within education, the importance of creativity is recognized as an essential 21st-century skill. Based on this premise, the first aim of this article is to provide a theoretical integration through the development of a framework based on the principles of complex dynamic systems theory, which describes and explains children's creativity. This…
Descriptors: Children, Creativity, Child Development, Student Development
Fanfarelli, Joseph R.; McDaniel, Rudy – Journal of Educational Technology Systems, 2015
Badge use has rapidly expanded in recent years and has benefited a variety of applications. However, a large portion of the research has applied a binary "useful" or "not useful" approach to badging. Few studies examine the characteristics of the user and the impact of those characteristics on the effectiveness of the badging…
Descriptors: College Students, Recognition (Achievement), Individual Differences, Student Characteristics
Johnson, David W.; Johnson, Roger T.; Roseth, Cary J. – Psychological Bulletin, 2012
Murayama and Elliot (2012) made a significant contribution to the literature on competition by presenting the results of 2 meta-analyses and 3 primary studies on the relation between competition and performance. Murayama and Elliot established that in general, there is no relationship between competition and performance. They then made the case…
Descriptors: Competition, Personality Traits, Student Motivation, Meta Analysis
Dörrenbächer, Laura; Perels, Franziska – Frontline Learning Research, 2015
Most self-regulated learning theories are imbedded within a social-cognitive framework and comprise cognitive, metacognitive and motivational components. Nevertheless, these theories partly neglect volition, which is necessary for implementing learning intentions. Therefore, the present study is frontline as it aimed to integrate volition within a…
Descriptors: Metacognition, Learning Theories, Models, College Students
Alarcon, Gene M.; Edwards, Jean M. – Journal of Educational Psychology, 2013
The current study explored individual differences in ability and motivation factors of retention in first-year college students. We used discrete-time survival mixture analysis to model university retention. Parents' education, gender, American College Test (ACT) scores, conscientiousness, and trait affectivity were explored as predictors of…
Descriptors: Academic Achievement, Student Motivation, Academic Persistence, Individual Differences
Herman, Joan, Ed.; Hilton, Margaret, Ed. – National Academies Press, 2017
The importance of higher education has never been clearer. Educational attainment--the number of years a person spends in school--strongly predicts adult earnings, as well as health and civic engagement. Yet relative to other developed nations, educational attainment in the United States is lagging, with young Americans who heretofore led the…
Descriptors: College Students, Academic Achievement, Student Evaluation, Interpersonal Competence
Ackerman, Phillip L.; Kanfer, Ruth; Beier, Margaret E. – Journal of Educational Psychology, 2013
Prediction of academic success at postsecondary institutions is an enduring issue for educational psychology. Traditional measures of high-school grade point average and high-stakes entrance examinations are valid predictors, especially of 1st-year college grades, yet a large amount of individual-differences variance remains unaccounted for.…
Descriptors: Cognitive Ability, Gender Differences, Academic Achievement, Educational Psychology
Crede, Marcus; Roch, Sylvia G.; Kieszczynka, Urszula M. – Review of Educational Research, 2010
A meta-analysis of the relationship between class attendance in college and college grades reveals that attendance has strong relationships with both class grades (k = 69, N = 21,195, p = 0.44) and GPA (k = 33, N = 9,243, p = 0.41). These relationships make class attendance a better predictor of college grades than any other known predictor of…
Descriptors: Study Habits, Grade Point Average, Attendance Patterns, Meta Analysis
Kaufman, James C.; Agars, Mark D.; Lopez-Wagner, Muriel C. – Learning and Individual Differences, 2008
Non-cognitive factors represent a chance to learn more about how to help students succeed in early college experiences. This study examined personality and motivation as predictors of first-quarter GPA in a sample of 315 non-traditional undergraduates at a Hispanic-serving institution. Our results provide support for the importance of high levels…
Descriptors: Grade Point Average, Incentives, Student Motivation, Personality
Pracana, Clara, Ed. – Online Submission, 2014
We are delighted to welcome you to the International Psychological Applications Conference and Trends 2014, taking place in Porto, Portugal, from 4 to 6 of April. Psychology, in our time, offers a large range of scientific fields where it can be applied. The goal of understanding individuals and groups (mental functions and behavioral…
Descriptors: Educational Psychology, Foreign Countries, Intervention, Prevention

Price, Gary E.; And Others – Clearing House, 1981
Thirteen New York City third graders and 72 sixth graders completed a state reading test and the Learning Style Inventory (LSI) by Dunn, Dunn, and Price. Eleven LSI variables accounted for significant differences between high and low achievers in reading. Variables include preferred learning environment, learning modalities, and personality…
Descriptors: Classroom Environment, Cognitive Style, Elementary Education, High Achievement
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