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Louisa Willoughby; Adam Schembri; Jess Kruk – Modern Language Journal, 2025
Around the globe, beginner sign language programs have seen surging enrolments in recent years. Yet relatively few learners progress to higher-level sign language study. In this article, we explore factors shaping retention and attrition among a cohort of 70 beginner Australian Sign Language (Auslan) students studying in a vocational education…
Descriptors: Sign Language, Academic Persistence, Career and Technical Education, Student Characteristics
Chandler Ann Findley – ProQuest LLC, 2024
The extant literature on regret as motivation for behavior presents inconclusive results, collectively. While it has often been agreed that regret motivates reparative action, most studies from the past 14 years indicate that regret may motivate either detrimental actions or, more commonly, no action at all. There also appears to be no published…
Descriptors: Correlation, Academic Achievement, Longitudinal Studies, Sample Size
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Bozgun, Kayhan; Baytemir, Kemal – Participatory Educational Research, 2022
This study aims at determining the mediating effect of academic intrinsic motivation on the relationship between both students' academic selfefficacy and dispositional hope levels to their academic procrastination habits. The data were collected from a sample of 252 college students, 69 males (27.4%) and 183 females (72.6%), aged between 18 and 33…
Descriptors: State Universities, Undergraduate Students, Student Attitudes, Measures (Individuals)
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Tindle, Richard; Abo Hamza, Eid G.; Helal, Ahmed A.; Ayoub, Alaa Eldin A.; Moustafa, Ahmed A. – Review of Education, 2022
Understanding the psychosocial factors that positively and negatively impact academic performance is important to help students succeed and persist in higher education. In this article, we conducted a scoping review to clarify and identify the psychosocial factors affecting university students' academic performance. The initial search returned…
Descriptors: Academic Achievement, Performance, College Students, Psychological Patterns
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D'Eon, Marcel; Yasinian, Maryam – Higher Education Research and Development, 2022
In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…
Descriptors: Physics, Science Instruction, Learning Processes, Barriers
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Üner, Ayça; Mouratidis, Athanasios; Kalender, Ilker – Educational Psychology, 2020
Previous research has shown that utility value and expectancy for success, as well as the reasons for academic striving, could partly explain academic engagement. Yet, their joint role in predicting learning strategies and test anxiety has not been thoroughly understood, especially in contexts where pressure for success is high. We examined this…
Descriptors: Study Habits, Learning Strategies, Test Anxiety, Value Judgment
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Dixson, Dante D. – Psychology in the Schools, 2019
Several studies have found that higher hope is associated with higher academic achievement. Although scholars have asserted that this association is the result of higher hope leading to an increased likelihood that students will engage success-oriented behaviors (e.g., participating in class, completing homework assignments), very little empirical…
Descriptors: Student Behavior, Academic Achievement, Intervention, Psychological Patterns
Lee, Jihyun – OECD Publishing, 2020
Non-cognitive characteristics of students in four Southeast Asian countries -- Indonesia, Malaysia, Thailand, and Viet Nam -- were reviewed based on the PISA 2009, 2012, and 2015 data. Overall, students in this region demonstrated similarities with respect to their non-cognitive dispositions such as learning habits, approaches to learning,…
Descriptors: Foreign Countries, Student Characteristics, Study Habits, Learning Strategies
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Reed, Phil; Reay, Emma – Higher Education: The International Journal of Higher Education Research, 2015
This study explored the relationship between problematic levels of Internet use and motivation to study in a university sample. One hundred and sixty-two participants were recruited online and completed four questionnaires: Internet Addiction Test, Hospital Anxiety and Depression Scale, Emotional-Social Loneliness Scale, and the Motivated…
Descriptors: College Students, Internet, Student Motivation, Learning Strategies
Jorgensen, Shirley; Ferraro, Vittoria; Fichten, Catherine; Havel, Alice – Online Submission, 2009
The relationship between student dropout and high school grades, demographic factors and psychosocial variables was examined for 40 682 full-time Dawson College students. Overall, low high school grades and older age were the best predictors of dropout. Male students, who generally had lower grades than females, were more likely to drop out than…
Descriptors: High School Students, Grades (Scholastic), Females, Graduation Rate