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Gitinabard, Niki; Xu, Yiqiao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin F. – IEEE Transactions on Learning Technologies, 2019
Blended courses that mix in-person instruction with online platforms are increasingly common in secondary education. These platforms record a rich amount of data on students' study habits and social interactions. Prior research has shown that these metrics are correlated with students performance in face-to-face classes. However, predictive models…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Prediction
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Marra, Rose M.; Tsai, Chia-Lin; Bogue, Barbara; Pytel, Jean Landa – American Journal of Engineering Education, 2015
The need for educating engineers in the United States continues as the projected demand is rising the number of high school seniors planning to enter engineering careers has remained relatively stable (Sargent, 2014). Additionally, figures show that attrition rates in undergraduate engineering continue to be an area of concern, (Sargent, 2014;…
Descriptors: Engineering Education, Engineering, Career Choice, Academic Achievement
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Burrus, Jeremy; Elliott, Diane; Brenneman, Meghan; Markle, Ross; Carney, Lauren; Moore, Gabrielle; Betancourt, Anthony; Jackson, Teresa; Robbins, Steve; Kyllonen, Patrick; Roberts, Richard D. – ETS Research Report Series, 2013
Despite near universal acceptance in the value of higher education for individuals and society, college persistence rates in 4-year and community colleges are low. Only 57% of students who began college at a 4-year institution in 2001 had completed a bachelor's degree by 2007, and only 28% of community college students who started school in 2005…
Descriptors: Higher Education, Academic Persistence, Literature Reviews, Models
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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
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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
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Biggs, J. B. – British Journal of Educational Psychology, 1976
This paper reports a series of studies in the development of a Study Behavior Questionnaire (SBQ) for use with university students. It attempted to determine optimal ways of combining SBQ item scores: by sorting people's responses to items (R-analysis), or by sorting items on the basis of how they discriminate between people (Q-analysis).…
Descriptors: Learning Processes, Models, Psychological Studies, Research Methodology
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Watkins, David; Hattie, John – Educational and Psychological Measurement, 1980
Results of an Australian study of the Biggs Study Process Questionnaire (SPQ) are presented. The purposes of the research were to: (1) re-examine the SPQ's internal consistency; (2) explore dimensionality of the SPQ scales; and (3) investigate validity of Bigg's model of the study process complex through factor analysis. (Author/GK)
Descriptors: Factor Analysis, Foreign Countries, Higher Education, Maximum Likelihood Statistics
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Biggs, J. B.; Braun, P. H. – Journal of Educational Measurement, 1972
The union and disjunction models for combining individual test marks to yield final grade distributions are outlined and examined empirically in two educational psychology classes. (Authors/CB)
Descriptors: College Students, Educational Testing, Evaluation Methods, Factor Analysis
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Biggs, J. B. – British Journal of Educational Psychology, 1978
Studies of Australian and Canadian high school students point to at least a three-dimensional model of the study process domain, incorporating a complex of values, motives, and strategies. This complex mediates between personological and institutional variables on the one hand and academic performance on the other. (Author/SJL)
Descriptors: Academic Achievement, Correlation, High Schools, Intellectual Disciplines
Bol, Linda; And Others – 1993
This paper uses a multi-level model to identify course variables that affect the relationship between study activities and achievement. Data on course characteristics were collected from 12 high school biology classes, and study activity and achievement measures were collected from 136 students enrolled in these classes. The results indicate that…
Descriptors: Academic Achievement, Biology, Course Content, Feedback
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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
Vermunt, Jan D. H. M. – 1987
Data from 211 adult students (ages 20 to 75) at the Open University, The Netherlands, were used to construct and test an instrument to measure learning styles and regulation processes. Test development was guided by a three-tiered model of self-regulation encompassing: (1) cognitive learning processes (deep, surface, elaborative); (2) regulation…
Descriptors: Adult Students, Cognitive Style, Factor Structure, Foreign Countries
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