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Showing 1 to 15 of 26 results Save | Export
Jing Liu; Megan Kuhfeld; Monica Lee – Annenberg Institute for School Reform at Brown University, 2023
Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…
Descriptors: Student Behavior, Predictor Variables, Predictive Validity, Academic Achievement
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Xu Du; Lizhao Zhang; Jui-Long Hung; Hao Li; Hengtao Tang; Miao Dai – Journal of Computing in Higher Education, 2024
This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…
Descriptors: Teaching Methods, Attention Control, Brain Hemisphere Functions, Diagnostic Tests
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Ives, Bob; Giukin, Lenuta – Journal of Academic Ethics, 2020
A total of 1390 university students from five public Moldovan universities completed a survey reporting their experiences and beliefs with respect to 22 types of academic misconduct. An interpretable five-factor solution to the frequencies of these behaviors accounted for more than half of the total variance. The two most reliable predictors were…
Descriptors: Foreign Countries, Behavior Patterns, Predictor Variables, Public Colleges
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Chen, Changsheng; Meng, Xiangzeng – International Journal of Distance Education Technologies, 2021
As a supplement to face-to-face teaching, small private online courses (SPOCs) have become increasingly popular in higher education. Nevertheless, there is a lack of research on behavioral patterns in the university SPOC. This empirical study investigates the behavioral patterns of 306 undergraduate students taking a degree course partially taught…
Descriptors: Student Behavior, Behavior Patterns, Outcomes of Education, Online Courses
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Fatahi, Somayeh; Shabanali-Fami, Faezeh; Moradi, Hadi – Education and Information Technologies, 2018
The learning style of a learner is an important parameter in his learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments to increase learners' performance. Thus, it is important to be able to automatically determine learning styles of learners in an e-learning…
Descriptors: Cognitive Style, Educational Technology, Technology Uses in Education, Student Behavior
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Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior
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Foung, Dennis; Chen, Julia – Electronic Journal of e-Learning, 2019
In recent years, research using learning analytics to predict learning outcomes has begun to increase. This emerging field of research advocates the use of readily-available data to inform teaching and learning. The current case study adopts a learning analytics approach to evaluate the online learning package of an academic English course in a…
Descriptors: Foreign Countries, Blended Learning, Electronic Learning, English for Academic Purposes
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Jo, I.; Park, Y.; Lee, H. – Journal of Computer Assisted Learning, 2017
An asynchronous online discussion (AOD) is one format of instructional methods that facilitate student-centered learning. In the wealth of AOD research, this study evaluated how students' behavior on AOD influences their academic outcomes. This case study compared the differential analytic methods including web log mining, social network analysis…
Descriptors: Computer Mediated Communication, Interaction Process Analysis, Undergraduate Students, Predictor Variables
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Monshouwer, K.; Harakeh, Z.; Lugtig, P.; Huizink, A.; Creemers, H. E.; Reijneveld, S. A.; De Winter, A. F.; Van Oort, F.; Ormel, J.; Vollebergh, W. A. M. – Journal of Abnormal Child Psychology, 2012
The present study examined the joint development of substance use and externalizing problems in early and middle adolescence. First, it was tested whether the relevant groups found in previous studies i.e., those with an early onset, a late onset, and no onset or low levels of risk behavior could be identified, while using a developmental model of…
Descriptors: Antisocial Behavior, Risk, Children, Profiles
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Boswell, M. Alison; Knight, Victoria; Spriggs, Amy D. – Rural Special Education Quarterly, 2013
This investigation used an ABAB withdrawal design to determine the effect of self-monitoring using the MotivAider® (MotivAider, 2000) on percentage of intervals of on-task behavior by an 11-year old male with a moderate intellectual disability who attended a rural middle school. The MotivAider® is a small device, the size of a pager, which can be…
Descriptors: Middle School Students, Moderate Intellectual Disability, Task Analysis, Self Management
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Tassitano, Rafael M.; Barros, Mauro V. G.; Tenorio, Maria C. M.; Bezerra, Jorge; Florindo, Alex A.; Reis, Rodrigo S. – Journal of School Health, 2010
Background: Physical education (PE) plays a critical role in the healthy development of youth; however, the influence of PE classes in helping to provide students with health-related behavior patterns is not clear. This study aims to analyze whether participation in PE classes is associated with health-related behavior among high school students.…
Descriptors: Physical Education, Television Viewing, Behavior Patterns, Physical Activity Level
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Bukstel, Lee H.; And Others – Journal of Marriage and the Family, 1978
Using questionnaires administered to 566 unmarried students at the University of South Carolina, a comparison was made between reported premarital sexual behavior and projected extramarital sexual behavior. Individuals who were premaritally sexually active were found more likely to project that they would be extramaritally sexually involved.…
Descriptors: Behavior Patterns, College Students, Marital Instability, Predictor Variables
Brown, Tony N.; Schulenberg, John; Bachman, Jerald G.; O'Malley, Patrick M.; Johnston, Lloyd D. – Prevention Science: The Official Journal of the Society for Prevention Research, 2001
Investigated whether correlates of substance use changed across historical time. A high degree of consistency was found across historical time in predictors of past month cigarette or alcohol use and past year marijuana or cocaine use. Some predictors were consistently linked to substance use. Consistency of other predictors was contingent upon…
Descriptors: Adolescent Behavior, Behavior Patterns, High Schools, Predictor Variables
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Damico, Sandra Bowman; Purkey, William W. – American Educational Research Journal, 1978
From a sample of eighth-grade pupils, 96 class clowns were identified and compared to a sample of 237 nonclown classmates. Clowns were predominantly males, and were seen by their teachers to be higher than nonclowns in Asserting, Unruliness, Attention Seeking, Leadership, and Cheerfulness, and to be lower in Accomplishing. (Author/CP)
Descriptors: Adolescents, Behavior Patterns, Humor, Individual Characteristics
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Beck, Kenneth H. – Journal of Alcohol and Drug Education, 1983
Studied the relationship of psychosocial factors to alcohol abuse among college students (N=272). The psychosocial profile of the college student alcohol abuser was that of a male underclassman, who tends to consume beer more often and in greater quantities than nonabusers. Alcohol abusers may consume alcohol to handle adjustment problems. (JAC)
Descriptors: Alcoholism, Behavior Patterns, College Students, Drinking
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