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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 94 results
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Stupnisky, Robert H.; Perry, Raymond P.; Renaud, Robert D.; Hladkyj, Steve – Learning and Individual Differences, 2013
Previous research has found perceived academic control (PAC) to be a better predictor of first-year college students' grades than self-esteem; however, it is uncertain which construct is more important for students' well-being. The current study compared PAC and self-esteem on first-year college students' emotions, perceived stress, and…
Descriptors: Academic Achievement, Grades (Scholastic), Well Being, Physical Health
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Zhao, Qin; Zhang, Jie; Vance, Kaleigh – Learning and Individual Differences, 2013
The current research examines whether and how beliefs about intelligence moderate the effects of expecting rapid feedback on exam performance. Thirty-six undergraduates participated in a field experiment with two between-subjects independent variables: anticipated feedback proximity and beliefs about intelligence. The results show that expecting…
Descriptors: Undergraduate Students, Beliefs, Intelligence, Feedback (Response)
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Wang, Yi; Cullen, Kristin L.; Yao, Xiang; Li, Yixuan – Learning and Individual Differences, 2013
When transitioning to college freshmen must behave proactively in order to strive for success in their collegiate careers and their future life. Past research has mainly focused on the academic strategies of freshmen when investigating the predictors of successful college transition and has paid little attention to students' social strategies. The…
Descriptors: College Freshmen, Personality, Social Behavior, Personality Traits
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DiBenedetto, Maria K.; Bembenutty, Hefer – Learning and Individual Differences, 2013
The present study examined associations between changes in students' science self-efficacy and self-regulated learning strategies and their relation to science achievement. Influences of gender, ethnicity, and childhood and adolescent socialization experiences were also examined. The variables were consistent with Bandura's social cognitive…
Descriptors: Undergraduate Students, College Science, Science Education, Public Colleges
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Grunschel, Carola; Patrzek, Justine; Fries, Stefan – Learning and Individual Differences, 2013
In this study, we explored whether there are different types of academic delayers (i.e., types of students who delay academic tasks). Latent profile analysis based on 554 university students' reasons for academic delay revealed four distinct types: inconspicuous, successful pressure-seeking, worried/anxious, and discontent with studies. The types…
Descriptors: College Students, Student Behavior, Time Management, Self Management
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Kessels, Ursula – Learning and Individual Differences, 2013
In response to the current literature on possible systematic differences in the epistemological beliefs of men and women and between members of different cultures, this paper examines the way psychological constructs associated with gender (i.e. gender orientation) and culture (i.e. values) are related to individual's epistemological beliefs.…
Descriptors: Social Behavior, Sexual Identity, College Students, Femininity
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Xie, Qiuzhi; Gao, Xiangping; King, Ronnel B. – Learning and Individual Differences, 2013
This study investigated whether individual differences in thinking styles influence explicit and implicit learning. Eighty-seven university students in China participated in this study. Results indicated that performance in the explicit learning condition was positively associated with Type I thinking styles (i.e. legislative and liberal styles)…
Descriptors: Cognitive Style, Individual Differences, Learning, College Students
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Manolis, Chris; Burns, David J.; Assudani, Rashmi; Chinta, Ravi – Learning and Individual Differences, 2013
To understand experiential learning, many have reiterated the need to be able to identify students' learning styles. Kolb's Learning Style Model is the most widely accepted learning style model and has received a substantial amount of empirical support. Kolb's Learning Style Inventory (LSI), although one of the most widely utilized instruments to…
Descriptors: Experiential Learning, Teaching Methods, Cognitive Style, Computer Science
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Tze, Virginia M. C.; Daniels, Lia M.; Klassen, Robert M.; Li, Johnson C.-H. – Learning and Individual Differences, 2013
Although past research has shown the benefits of using approach coping in dealing with negative emotions, little is known about how students cope with a common negative achievement emotion, boredom, across cultures. Therefore, the goals of this study were to validate the Boredom Coping Scale (BCS) in Canada (n = 151, mean age = 23.29) and China (n…
Descriptors: Self Efficacy, Foreign Countries, Coping, Factor Structure
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Komarraju, Meera; Ramsey, Alex; Rinella, Virginia – Learning and Individual Differences, 2013
Identifying the best predictors of academic performance is crucial for postsecondary institutions seeking students with the greatest promise. We investigated the relative strength of standardized test scores (ACT), high school GPA, and non-cognitive, college readiness skills in predicting college GPA. College freshmen (505) completed the 108-item…
Descriptors: Academic Achievement, College Readiness, Intellectual Disciplines, At Risk Students
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Balsamo, Michela; Lauriola, Marco; Saggino, Aristide – Learning and Individual Differences, 2013
Our study sought to clarify the nature of the known individual differences in work values associated with academic college major choice, specifically the question whether these precede or follow the choice of an academic major. To rule out environmental influences during academic study, group differences in five value orientations were evaluated…
Descriptors: Majors (Students), Intention, Environmental Influences, High School Students
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Gardner, Rick M.; Brown, Dana L. – Learning and Individual Differences, 2013
The purpose of this study was to construct and evaluate a contemporary misconception test based on popular myths in psychology. Misconceptions in psychology are commonplace, strongly held, and can be problematic for teaching accurate information. This study examined several predictors of misconceptions in eleven psychological topic areas. We also…
Descriptors: Psychology, Misconceptions, Undergraduate Students, Measures (Individuals)
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Bonneville-Roussy, Arielle; Vallerand, Robert J.; Bouffard, Therese – Learning and Individual Differences, 2013
This research aims at examining the role of autonomy support and passion in the persistence of students involved in higher education. In academic settings, autonomy-supportive environments consider students as self-determined individuals who are capable of making choices. In contrast, controlling academic environments impose pressure on students…
Descriptors: Academic Persistence, Personal Autonomy, Role, Higher Education
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Taasoobshirazi, Gita; Farley, John – Learning and Individual Differences, 2013
A model of expertise in physics problem solving was tested on undergraduate science, physics, and engineering majors enrolled in an introductory-level physics course. Structural equation modeling was used to test hypothesized relationships among variables linked to expertise in physics problem solving including motivation, metacognitive planning,…
Descriptors: Factor Analysis, Science Achievement, Factor Structure, Structural Equation Models
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Ozel, Murat; Caglak, Serdar; Erdogan, Mehmet – Learning and Individual Differences, 2013
This study investigated how affective factors like attitude and motivation contribute to science achievement in PISA 2006 using linear structural modeling. The data set of PISA 2006 collected from 4942 fifteen-year-old Turkish students (2290 females, 2652 males) was used for the statistical analyses. A total of 42 selected items on a four point…
Descriptors: Factor Analysis, Science Achievement, Factor Structure, Structural Equation Models
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