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The Complex Route to Success: Complex Problem-Solving Skills in the Prediction of University Success
Direct linkStadler, Matthias J.; Becker, Nicolas; Greiff, Samuel; Spinath, Frank M. – Higher Education Research and Development, 2016
Successful completion of a university degree is a complex matter. Based on considerations regarding the demands of acquiring a university degree, the aim of this paper was to investigate the utility of complex problem-solving (CPS) skills in the prediction of objective and subjective university success (SUS). The key finding of this study was that…
Descriptors: Success, Predictive Validity, Predictor Variables, Problem Solving
Al-Hilawani, Yasser A. – International Journal of Progressive Education, 2016
The relationship between metacognition in real life situations and study skills and habits was examined using a sample of college students. Results showed no significant relationship between these two variables nor was there a significant relationship between study skills and reaction time as measured on the metacognitive test. However, there was…
Descriptors: Metacognition, Study Skills, Study Habits, Cognitive Tests
Download full textOlsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Cheema, Jehanzeb R.; Zhang, Bo – International Journal of Education and Development using Information and Communication Technology, 2013
This study looked at the effect of both quantity and quality of computer use on achievement. The Program for International Student Assessment (PISA) 2003 student survey comprising of 4,356 students (boys, n = 2,129; girls, n = 2,227) was used to predict academic achievement from quantity and quality of computer use while controlling for…
Descriptors: Academic Achievement, Computer Use, Educational Quality, Incidence
Peer reviewedVu, Nu V.; And Others – Journal of Medical Education, 1987
A study investigated the incremental value of a medical reasoning aptitude test to predict students' overall medical school performance and knowledge and clinical reasoning during preclinical years and clerkship performance. (MSE)
Descriptors: Academic Achievement, Aptitude Tests, Clinical Experience, Higher Education
Peer reviewedMestre, Jose P. – Educational and Psychological Measurement, 1981
The predictive validity of several mathematics and language variables relative to criteria of grade point average and word problem-solving skills for 60 bilingual Hispanic technical students is investigated. Examination of standardized college admission criteria is urged. Revealed is a disparity in academic performance between bilingual and…
Descriptors: Academic Achievement, Bilingual Students, Engineering Education, Grade Point Average
