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Antony Fute; Yifan Feng; Feifei Huang; Xiangdan Zhao; Daniel Kangwa; Mohamed Oubibi – Discover Education, 2025
Students' excessive reliance on mobile phones during English classes diminishes their learning engagement and understanding, which in turn affects their academic performance. Teachers' prior observations at our selected university indicated that smartphone usage among English learners varied significantly across class groups and among individual…
Descriptors: College Freshmen, Handheld Devices, Telecommunications, Addictive Behavior
Lin Huang; Meng-Hsiu Lee – SAGE Open, 2023
Since the outbreak of the COVID-19 pandemic, social media are used frequently in the process of teaching and learning interaction, which not only endows learning with sociality, but also poses challenges to students' autonomous learning behavior. To identify the influencing factors of motivation regulation in blended learning environments, we need…
Descriptors: Socialization, Blended Learning, Student Motivation, Self Control
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
Lee, Minhye; Bong, Mimi – Educational Psychology, 2022
Student motivation varies quickly, particularly under the pressing context. However, extant literature tends to focus on the individual, rather than contextual, differences in motivational patterns. We examined Korean adolescents' time-varying pursuits of achievement goals and learning outcomes using the experience sampling method, which collects…
Descriptors: Student Motivation, Goal Orientation, Academic Achievement, Test Preparation
Edina-Timea Opri?; Iuliana Zsoldos-Marchis; Edit Egri – Open Education Studies, 2024
Problem-solving competency is important not only in many careers but also in everyday life. Successful problem solvers regulate their cognitive processes and emotions. Our research aimed to study the impact of gamified problem sheets designed in Seppo on self-regulated learning skills. The intervention was carried out with second-year students in…
Descriptors: Instructional Effectiveness, Game Based Learning, Teaching Methods, Problem Solving
Steenbergen-Hu, Saiying; Olszewski-Kubilius, Paula; Calvert, Eric – Gifted Child Quarterly, 2020
Underachievement of gifted students has been a great concern for the field of gifted education. The current study reviewed 14 recent empirical studies concerning the effectiveness of underachievement interventions on gifted students' achievement outcomes and psychosocial outcomes. Overall, there was no evidence that underachievement interventions…
Descriptors: Underachievement, Academically Gifted, Grades (Scholastic), Intervention
Miele, David B.; Scholer, Abigail A. – Educational Psychologist, 2018
This article builds on existing models of motivation regulation in order to examine how students identify and address motivational deficits (e.g., not enough motivation or not the right type of motivation). Integrating perspectives from the achievement motivation, metacognition, and emotion regulation literatures, we propose that metamotivational…
Descriptors: Student Motivation, Self Motivation, Self Control, Self Efficacy
Pokrovskaia, Nadezhda N.; Leontyeva, Veronika L.; Ababkova, Marianna Yu.; D'Ascenzo, Fabrizio – Education Sciences, 2021
Research on behavior regulation was carried out after several months of social isolation, provoked by the pandemic, between the months of February and March 2020. In spring 2020, many higher education institutions began to introduce digital tools of education, remote learning, and distance teaching. The reaction during the first weeks and months…
Descriptors: Pandemics, COVID-19, Distance Education, Self Control
Yan, Shunqin – International Journal of Higher Education, 2016
Aim: This thesis discusses the relationship between college students' boredom tendency and attribution style as well as achievement motivation. Method: The author uses scale assessment on college students of boredom tendency scale, the inner-control scale, internality-powerful others scale and chance scale draw up by Leveson, as well as…
Descriptors: Correlation, College Students, Scores, Psychological Patterns
Andersen, Frans Ørsted; Nissen, Poul; Poulsen, Line – Journal of Educational Issues, 2016
Marginalized boys at risk of dropping out of high school have for a long time been a problem in the Western world. 100 such Danish 14-16 year old boys were in the summers of 2013, 2014 and 2015 exposed to a new school program, "The Boys Academy," inspired by Seligman and the American KIPP schools suggesting seven character strengths to…
Descriptors: Foreign Countries, At Risk Students, Dropouts, Males
Ahmed, Wondimu; van der Werf, Greetje; Kuyper, Hans; Minnaert, Alexander – Journal of Educational Psychology, 2013
The purpose of the current study was twofold: (a) to investigate the developmental trends of 4 academic emotions (anxiety, boredom, enjoyment, and pride) and (b) to examine whether changes in emotions are linked to the changes in students' self-regulatory strategies (shallow, deep, and meta-cognitive) and achievement in mathematics. Four hundred…
Descriptors: Mathematics Achievement, Student Motivation, Anxiety, Grade 7
Tze, Virginia M. C.; Klassen, Robert M.; Daniels, Lia M.; Li, Johnson C.-H.; Zhang, Xiao – Journal of Psychoeducational Assessment, 2013
This study evaluated the psychometric properties of the Learning-Related Boredom Scale (LRBS) from the Academic Emotions Questionnaire (AEQ; Pekrun, Goetz, & Perry, 2005; Pekrun, Goetz, Titz, & Perry, 2002) in a sample of 405 university students from Canada and China. Multigroup confirmatory factor analysis was used to test the factor…
Descriptors: Undergraduate Students, Psychometrics, Foreign Countries, Factor Analysis
Kyllonen, Patrick C.; Lipnevich, Anastasiya A.; Burrus, Jeremy; Roberts, Richard D. – ETS Research Report Series, 2014
This article concerns how noncognitive constructs--personality and motivation--can be assessed and developed to increase students' readiness for college. We propose a general framework to account for personality and motivational differences between students. We review numerous studies showing that personality and motivational factors are related…
Descriptors: Personality Traits, Student Motivation, College Readiness, Literature Reviews
Kim, ChanMin; Park, Seung Won; Cozart, Joe; Lee, Hyewon – Educational Technology & Society, 2015
Engagement and motivation are not one and the same, but motivation can be transformed into engagement with proper design of support. In this study, we examined the differences between high performers and low performers with regard to changes in their motivation, regulation, and engagement throughout the semester. Participants were 100 students…
Descriptors: Learner Engagement, Student Motivation, Virtual Classrooms, Online Courses
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