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Turhal, Ersin – International Society for Technology, Education, and Science, 2022
This research aims to examine the self-regulation behaviors of students studying at undergraduate level in music fields in different faculties in their music education processes and the differentiation of these behaviors according to various variables, and to collect students' opinions about instrument playing behaviors. In this study, which used…
Descriptors: Music Education, Self Management, Student Behavior, Undergraduate Students
Akpur, Ugur – International Journal of Educational Methodology, 2020
The aim of the present study is to examine the effect level of procrastination on academic achievement. To this end, a meta-analytic approach was applied and the studies published between January 2000 and May 2020 in Education Resources Information Center (ERIC) and Academic Search Ultimate databases were included in the study. The research was…
Descriptors: Time Management, Academic Achievement, Correlation, Predictor Variables
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Shernoff, David J.; Ruzek, Erik; Sannella, Alexander J.; Schorr, Roberta Y.; Sanchez-Wall, Lina; Bressler, Denise – AERA Online Paper Repository, 2019
The purpose of this study was to evaluate a model for considering general and specific elements of student experience in a gateway course in undergraduate Financial Accounting in a large university on the East Coast, USA. Specifically, the study evaluated a bifactor analytic strategy including a general factor of student classroom experience,…
Descriptors: Learner Engagement, Student Behavior, Introductory Courses, Undergraduate Students
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
Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
Shockley, Robert Eugene; Morris, John D.; Watlington, Eliah; Hidrowoh, Jacob R. – AERA Online Paper Repository, 2017
The purpose of this study was to identify relationships between job satisfiers and job dissatisfiers that teachers experience in the workplace, using the lens of the Weighted Balance Satisfier Model. The 2011-12 school year Schools and Staffing Survey (SASS) of the Institute of Education Sciences (IES), U.S. Department of Education was the source…
Descriptors: Predictor Variables, Job Satisfaction, Stress Variables, Student Behavior
Carter, Jenny; Kim, Young K. – AERA Online Paper Repository, 2017
Two previous studies indicated that students at evangelical institutions report the highest levels of religious struggle in comparison to their peers at other institutions. However, patterns and predictors of religious struggle for students attending evangelical institutions have not been thoroughly explored. This study fills that gap in the…
Descriptors: Church Related Colleges, College Students, Religion, Student Characteristics
Wan, Hao; Beck, Joseph Barbosa – International Educational Data Mining Society, 2015
The phenomenon of wheel spinning refers to students attempting to solve problems on a particular skill, but becoming stuck due to an inability to learn the skill. Past research has found that students who do not master a skill quickly tend not to master it at all. One question is why do students wheel spin? A plausible hypothesis is that students…
Descriptors: Skill Development, Problem Solving, Knowledge Level, Learning Processes
Bhatnagar, Sameer; Lasry, Nathaniel; Desmarais, Michel; Dugdale, Michael; Whittaker, Chris; Charles, Elizabeth S. – International Educational Data Mining Society, 2015
This paper reports on an analyis of data from a novel "Peer Instruction" application, named DALITE. The Peer Instruction paradigm is well suited to take advantage of peer-input in web-based learning environments. DALITE implements an asynchronous instantiation of peer instruction: after submitting their answer to a multiple-choice…
Descriptors: Peer Teaching, Peer Evaluation, Web Based Instruction, Asynchronous Communication
Jacobs, John R.; And Others – 1992
This study was conducted to assess the predictors of safe sex practices among a group of college students. Subjects were 261 students attending the evening division of a large urban university campus, 68% of whom were female and 94% of whom reported being heterosexual. The average age of respondents was 26 years. Subjects responded to questions…
Descriptors: Acquired Immune Deficiency Syndrome, College Students, Higher Education, Predictor Variables
Vannatta, Rachel A. – 1996
Adolescents are the most suicidal population. Gender comparisons within this group show males are four times more likely to kill themselves, while females are three to nine times as likely to attempt suicide. This study compared 1993 and 1995 self-reported suicidal behavior in relation to the risk factors of tobacco use, alcohol use, drug use,…
Descriptors: Adolescents, At Risk Persons, Behavior Disorders, Predictor Variables
Mikk, Jaan – Online Submission, 2007
The aim of the research was to assess the economic, educational and cultural predictors of the TIMSS 2003 science test results in Lithuania and Estonia. The data for the research were received from the TIMSS 2003 User Guide for the International Database. The Spearman rank correlation coefficients, calculated on the students' level and the schools…
Descriptors: Predictor Variables, Science Education, Science Achievement, Cultural Influences
Norman, Nancy M. – 1987
When smoking decisions are understood in terms of the beliefs and attitudes which determine them, prevention programs can focus on changing these beliefs and attitudes. A study was conducted to measure students' attitudes and beliefs on the short-term health effects of smoking, on the social consequences of smoking, and on specific identities…
Descriptors: Beliefs, Elementary School Students, Identification, Individual Characteristics
Bong, Mimi – 1999
This study compared the predictive utility of self-efficacy and task-value beliefs among Korean female college students (N=168). It assessed constructs longitudinally and attempted consolidation of self-efficacy and expectancy-value theories. Self-efficacy perceptions were assessed at varying levels of measurement specificity. Exploratory factor…
Descriptors: Academic Achievement, College Students, Data Analysis, Females