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Bälter, Olle; Zimmaro, Dawn – Interactive Learning Environments, 2018
It is challenging for students to plan their work sessions in online environments, as it is very difficult to make estimates on how much material there is to cover. In order to simplify this estimation, we have extended the Keystroke-level analysis model with individual reading speed of text, figures, and questions. This was used to estimate how…
Descriptors: Keyboarding (Data Entry), Data Analysis, Time Management, Online Courses
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Fernex, Alain; Lima, Laurent; de Vries, Erica – Higher Education: The International Journal of Higher Education and Educational Planning, 2015
The purpose of this article is to study how students allocate time to different university and extra-university activities and to identify factors that might explain variability both between and within fields of study. At the heart of this exercise is the question of the time students dedicate to academic activities in competition with a whole…
Descriptors: Time Management, Time Factors (Learning), Study Habits, Learning Activities
Shaeffer, James M.; Menges, Robert J. – 1984
A model of in-class and out-of-class learning in higher education is discussed, and the literature related to out-of-class factors and time factors in teaching-learning is reviewed. Three related models of school learning are briefly reviewed. John Carroll's model (1963) proposes that the degree of student learning is determined by the time needed…
Descriptors: College Students, Higher Education, Learning, Models
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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
Gonzalez-Hernandez, Judith – 1987
A study using multivariate analysis investigated how self-judged academic effort among Chicano college students is directly affected by academic self-efficacy. Also examined were the indirect effects of students' perceptions of the soundness of the evaluation system on self-judged academic effort, and the effects of school context on effort. A…
Descriptors: Academic Ability, College Students, Higher Education, Mexican Americans
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Noxel, Sherri; Katunich, Linda – 1998
This paper analyzed time to degree and enrollment intensity (number of hours earned each quarter) for Ohio State University baccalaureate recipients. Using an investment theory framework based on an organizational behavior model, the study sought to determine whether commitment propensity variables were important in explaining degree commitment,…
Descriptors: Bachelors Degrees, College Credits, College Students, Correlation
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Wellman, Gregory S. – Journal of Interactive Online Learning, 2005
The purpose of this study was to examine the impact that proctored versus un-proctored testing would have on learning for an on-line content module; and examine the relationship between LASSI variables and learning. A randomized, pre-test/post-test control group design was employed. College students in a pharmacy curriculum, were randomized to two…
Descriptors: Comparative Analysis, Cognitive Style, Measures (Individuals), Online Courses