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Showing 1 to 15 of 30 results Save | Export
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Serrano, Danya M.; Williams, Patrick S.; Ezzeddine, Laela; Sapon, Bryan – Learning: Research and Practice, 2022
Excessive social media use is a growing concern among educators. However, little research has examined the effects that problematic social media use has on student's academic procrastination and thereby on academic performance. Thus, this study explored the effects of social media use on students' academic procrastination and performance, and the…
Descriptors: Undergraduate Students, Social Media, Student Behavior, Time Management
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Wu, Rongxiu; Chiu, Chungyi; Dueber, David; Park, Mirang; Lange, Dustin; Umucu, Emre; Strauser, David – International Journal of Testing, 2023
The current study examined the factor structure, measurement invariance, and construct validity of the 14-item Revised Developmental Work Personality Scale (RDWPS) using a sample of 603 college students in a Midwest university of the United States. Exploratory and confirmatory factor analysis results indicated that the 11-item RDWPS resulted in a…
Descriptors: Test Validity, College Students, Gender Differences, Personality Traits
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Guinocor, Marvin; Almerino, Porferio; Mamites, Irene; Lumayag, Charisma; Villaganas, Mary Anne; Capuyan, Mae – International Electronic Journal of Mathematics Education, 2020
Teaching and understanding mathematics is a significant concern in any educational system. Largish efforts are made by various researchers to find out the causes of students' performance in the subject. Despite every one of these endeavors issues still, endure. The researchers used a descriptive-correlational design to gather data through an…
Descriptors: Foreign Countries, Mathematics Achievement, College Students, Study Habits
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Follmer, D. Jake; Patchan, Melissa; Spitznogle, Robin – Journal of College Reading and Learning, 2022
Planning for and evaluating study behaviors are key regulatory skills that present considerable challenge for college learners. This study examined the utility of a targeted intervention tool intended to promote college learners' study time calibration. Through implementation of a weekly, reflective activity, we examined improvement in learners'…
Descriptors: Time Management, Study Habits, Metacognition, Intervention
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Anthenien, Amber Maree; DeLozier, Sarah J.; Neighbors, Clayton; Rhodes, Matthew G. – Social Psychology of Education: An International Journal, 2018
We examined the extent to which college students' self-reported study strategy use relates to perceived peer strategy use, allowing us to determine whether college students misperceive peers' use of different study strategies. College students (n = 195) reported their use and perceived peer use of 10 different study strategies. Study strategy use…
Descriptors: College Students, Study Habits, Learning Strategies, Student Behavior
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Lindstrom, Will; Nelson, Jason M.; Foels, Patricia – Psychology in the Schools, 2020
The current study examined study habits of postsecondary students with attention-deficit/hyperactivity disorder (ADHD) through the theoretical context of deliberate practice. The responses of participants with and without ADHD were compared on a survey of study time, study quality, and self-perceptions of study habits, as well as a measure of test…
Descriptors: Attention Deficit Hyperactivity Disorder, Student Attitudes, Self Concept, Study Habits
Jackson, C. Kirabo; Porter, Shanette C.; Easton, John Q.; Blanchard, Alyssa; Kiguel, Sebastián – National Bureau of Economic Research, 2020
Using value-added models, we find that high schools impact students' self-reported socioemotional development (SED) by enhancing social well-being and promoting hard work. Conditional on schools' test score impacts, schools that improve SED reduce school-based arrests, and increase high-school completion, college-going, and college persistence.…
Descriptors: High School Students, Social Development, Emotional Development, School Role
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Pytlarz, Ian; Pu, Shi; Patel, Monal; Prabhu, Rajini – International Educational Data Mining Society, 2018
Identifying at-risk students at an early stage is a challenging task for colleges and universities. In this paper, we use students' oncampus network traffic volume to construct several useful features in predicting their first semester GPA. In particular, we build proxies for their attendance, class engagement, and out-of-class study hours based…
Descriptors: College Freshmen, Grade Point Average, At Risk Students, Academic Achievement
Smith, Christian Michael – Grantee Submission, 2020
Studies in social stratification have used siblings as a tool to learn about the intergenerational transmission of advantage but less often have asked how siblings impact one another's life chances. The author draws on social capital theory and hypothesizes that when youths attend college, they increase the probability that their siblings attend…
Descriptors: College Attendance, Siblings, Educational Attainment, Social Capital
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Dvorak, Tomas; Jia, Miaoqing – Journal of Learning Analytics, 2016
This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…
Descriptors: Online Courses, Educational Technology, Study Habits, Academic Achievement
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Sun, Jerry Chih-Yuan; Oh, Youn Joo; Seli, Helena; Jung, Matthew – Journal of At-Risk Issues, 2017
The purpose of this study was to explore the motivational characteristics and learning behaviors affecting at-risk college students. To explore how motivation and learning behaviors are related to academic achievement, the relationships between (a) self-efficacy; (b) learning and study strategy indicators; and (c) academic outcomes were assessed.…
Descriptors: At Risk Students, Outcomes of Education, College Freshmen, Prediction
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Yang, Yang; Bliss, Leonard B. – Educational Research and Evaluation, 2014
This study attempted to better understand the study behaviours of undergraduate students by categorizing students into distinctive typologies based on their self-reported study behaviours through an exploratory approach--Q factor analysis. A sample of 152 undergraduate students completed a survey instrument, the Study Behavior Inventory. The Q…
Descriptors: Factor Analysis, Academic Achievement, Predictor Variables, Study Habits
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Fauria, Renee M.; Fuller, Matthew B. – Research & Practice in Assessment, 2015
Researchers evaluated the effects of Educationally Purposeful Activities (EPAs) on transfer and nontransfer students' cumulative GPAs. Hierarchical, linear, and multiple regression models yielded seven statistically significant educationally purposeful items that influenced undergraduate student GPAs. Statistically significant positive EPAs for…
Descriptors: College Students, College Transfer Students, Grade Point Average, Regression (Statistics)
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Janssen, Susan; O'Brien, Maureen – International Journal for the Scholarship of Teaching and Learning, 2014
The interplay among motivation, ability, attitudes, behaviors, homework, and learning is unclear from previous research. We analyze data collected from 687 students enrolled in seven economics courses. A model explaining homework and exam scores is estimated, and separate analyses of ability and motivation groups are conducted. We find that…
Descriptors: Student Attitudes, Student Behavior, Academic Achievement, Performance Factors
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Tomes, Jennifer L.; Wasylkiw, Louise; Mockler, Brittany – Educational Research and Evaluation, 2011
The current study examined students' study behaviours using a diary methodology. Given the limitations of previous investigations, participants were asked to complete daily study diaries for 10 days prior to a course test to assess students' actual study behaviours. Results showed that students engaged in a diverse set of behaviours with only some…
Descriptors: Grade Point Average, Academic Achievement, Diaries, Study Habits
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