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Direct linkManolis, 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
Crede, Marcus; Phillips, L. Alison – Learning and Individual Differences, 2011
The current paper presents a meta-analytic review of the Motivated Strategies for Learning Questionnaire (MSLQ), which consists of fifteen subscales designed from classic social-cognitive learning theories and which is widely used to predict academic performance. Results based on 2158 correlations from 67 independent samples and 19,900 college…
Descriptors: Questionnaires, Meta Analysis, Correlation, College Students
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
Galli, Silvia; Chiesi, Francesca; Primi, Caterina – Learning and Individual Differences, 2011
Given that basic mathematical ability is a requirement to succeed in "non-mathematical" majors, e.g. degrees for Psychology, Education, and Health Sciences with compulsory introductory stats courses, assessing this ability can be useful to promote achievement. The aim of the present study was to develop a scale to measure the…
Descriptors: Majors (Students), Mathematics, Nonverbal Ability, Mathematics Tests
Chiesi, Francesca; Ciancaleoni, Matteo; Galli, Silvia; Morsanyi, Kinga; Primi, Caterina – Learning and Individual Differences, 2012
Item Response Theory (IRT) models were applied to investigate the psychometric properties of the Arthur and Day's Advanced Progressive Matrices-Short Form (APM-SF; 1994) [Arthur and Day (1994). "Development of a short form for the Raven Advanced Progressive Matrices test." "Educational and Psychological Measurement, 54," 395-403] in order to test…
Descriptors: College Students, Factor Structure, Measures (Individuals), Psychometrics
Evans, Carol; Waring, Michael – Learning and Individual Differences, 2011
The enhancement of assessment feedback is an international concern. This study is unique in its exploration of the nature of the relationship between student teachers' assessment feedback preferences, cognitive styles and gender, with a view to informing the development of assessment feedback practices and course design within initial teacher…
Descriptors: Feedback (Response), Student Teachers, Gender Differences, Validity
Parkhurst, John T.; Fleisher, Matthew S.; Skinner, Christopher H.; Woehr, David J.; Hawthorn-Embree, Meredith L. – Learning and Individual Differences, 2011
After completing the Multidimensional Work-Ethic Profile (MWEP), 98 college students were given a 20-problem math computation assignment and instructed to stop working on the assignment after completing 10 problems. Next, they were allowed to choose to finish either the partially completed assignment that had 10 problems remaining or a new…
Descriptors: Homework, Educational Research, Work Ethic, Assignments
Chiesi, Francesca; Primi, Caterina – Learning and Individual Differences, 2009
The aim of the present research was to test the psychometric properties of the Italian version of the Survey of Attitudes Toward Statistics (SATS) in order to acquire a valid instrument to measure attitudes inside the Italian educational context. The SATS was administered to Italian-speaking undergraduate students enrolled in introductory…
Descriptors: Undergraduate Students, Validity, Factor Structure, Factor Analysis
Lounsbury, John W.; Levy, Levy J.; Park, Soo-Hee; Gibson, Lucy W.; Smith, Ryan – Learning and Individual Differences, 2009
Based on samples of 398 middle school students, 568 high school students, and 1159 college students, self-directed learning was found to be related to cumulative grade-point-average at all levels as well as to Big Five personality traits (Openness, Conscientiousness, Emotional Stability, and Extraversion), narrow personality traits (Optimism,…
Descriptors: Personality Traits, College Students, Vocational Interests, Construct Validity
Kappe, F. R.; Boekholt, L.; den Rooyen, C.; Van der Flier, H. – Learning and Individual Differences, 2009
Multiple and specific learning criteria were used to examine the predictive validity of the Learning Style Questionnaire (LSQ). Ninety-nine students in a college of higher learning in The Netherlands participated in a naturally occurring field study. The students were categorized into one of four LSQ dimensions, namely, Activists, Theorists,…
Descriptors: Cognitive Style, Academic Achievement, Predictive Validity, Criteria
