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Wolters, Christopher A.; Won, Sungjun; Hussain, Maryam – Metacognition and Learning, 2017
The primary goal of this study was to investigate whether college students' academic time management could be used to understand their engagement in traditional and active forms of procrastination within a model of self-regulated learning. College students (N = 446) completed a self-report survey that assessed motivational and strategic aspects of…
Descriptors: Time Management, Metacognition, Predictor Variables, College Students
Ren, Zhiyun; Rangwala, Huzefa; Johri, Aditya – International Educational Data Mining Society, 2016
The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Spada, Marcantonio M.; Moneta, Giovanni B. – Educational Psychology, 2014
The objective of this study was to verify the structure of a model of how surface approach to studying is influenced by the trait variables of motivation and metacognition and the state variables of avoidance coping and evaluation anxiety. We extended the model to include: (1) the investigation of the relative contribution of the five…
Descriptors: Metacognition, Study Habits, Predictor Variables, Test Anxiety
Krumrei-Mancuso, Elizabeth J.; Newton, Fred B.; Kim, Eunhee; Wilcox, Dan – Journal of College Student Development, 2013
This study made use of a model of college success that involves students achieving academic goals and life satisfaction. Hierarchical regressions examined the role of six psychosocial factors for college success among 579 first-year college students. Academic self-efficacy and organization and attention to study were predictive of first semester…
Descriptors: Academic Achievement, Grade Point Average, Self Efficacy, Time Management
Stes, Ann; De Maeyer, Sven; Gijbels, David; Van Petegem, Peter – Studies in Higher Education, 2013
Evidence regarding the impact of teachers' instructional development on student learning in higher education is scarce. In this study the authors investigate the impact of an instructional development programme for beginning university teachers on students' approach to studying. They also explore whether this impact is dependent on class size and…
Descriptors: Faculty Development, College Faculty, College Students, Foreign Countries
de Araujo, Pedro; Murray, James – American Journal of Business Education, 2010
In a recent study, de Araujo and Murray (2010) find empirical evidence that living on campus leads to improved student performance, finding both immediate effects (GPA improves while the student lives on campus) and permanent effects (GPA remains higher even after moving off campus). Using the same dataset, we extend the analysis to explain why…
Descriptors: College Students, Academic Achievement, Grade Point Average, Comparative Analysis
Zarick, Lisa M.; Stonebraker, Robert – College Teaching, 2009
College students seem especially adept at procrastination. Large percents report that it causes lower quality papers and projects, lower exam scores and, to a lesser extent, late or missing assignments. Using survey data collected from a broad cross-section of students and faculty we argue that procrastination can be modeled as a logical, albeit…
Descriptors: Cost Effectiveness, Hypothesis Testing, Time Management, Predictor Variables
Veenstra, Cindy P.; Dey, Eric L.; Herrin, Gary D. – Advances in Engineering Education, 2009
With the current concern over the growing need for more engineers, there is an immediate need to improve freshman engineering retention. A working model for freshman engineering retention is needed. This paper proposes such a model based on Tinto's Interactionalist Theory. Emphasis in this model is placed on pre-college characteristics as…
Descriptors: College Freshmen, Engineering Education, School Holding Power, Academic Persistence
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Strang, Kenneth D. – Multicultural Education & Technology Journal, 2008
Purpose: The purpose of this paper is to inform international student study strategies as well as course design and instructional approach. Design/methodology/approach: Multiple research methods are applied, starting with exploratory data analysis, principal component analysis, confirmatory ordinal factor analysis, then recursive regression.…
Descriptors: Foreign Students, Cognitive Style, Academic Achievement, Factor Analysis
Plant, E. Ashby; Ericsson, K. Anders; Hill, Len; Asberg, Kia – Contemporary Educational Psychology, 2005
The current work draws upon the theoretical framework of deliberate practice in order to clarify why the amount of study by college students is a poor predictor of academic performance. A model was proposed where performance in college, both cumulatively and for a current semester, was jointly determined by previous knowledge and skills as well as…
Descriptors: Grade Point Average, College Students, Study Habits, Academic Achievement

Whitley, Bernard E., Jr. – Research in Higher Education, 1998
Studies (n=107) of prevalence and correlates of college student cheating are reviewed. Strongest correlates of cheating included having moderate expectations of success, past cheating, poor study conditions, positive attitudes about cheating, perceiving that social norms support cheating, and anticipating rewards for success. A model of…
Descriptors: Cheating, College Students, Expectation, High Risk Students
Warkentin, Robert W.; And Others – 1994
A theoretical model describes the components of academic studying focusing on antecedents as well as the consequences of studying. This study uses correlational means to explore the relationship among student characteristics, study activities, and outcomes for 42 education majors. Study activities were assessed with a self-report questionnaire.…
Descriptors: Academic Achievement, Cognitive Processes, College Students, Correlation
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers