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Xu, Jianzhong – European Journal of Psychology of Education, 2023
The major objectives of our study were (a) to identify student profiles according to five homework characteristics (homework time, frequency, quality, interest, and favorability) and (b) to examine their relationship with three critical variables in the homework process--homework effort, completion, and math achievement. Latent profile analysis…
Descriptors: Homework, Time, Incidence, Student Interests
Jost, Nathanael S.; Jossen, Sina L.; Rothen, Nicolas; Martarelli, Corinna S. – Education and Information Technologies, 2021
Ongoing digital transformations facilitate the conduct of online courses and distance learning. In this study, it was aimed to investigate the role of learners' personalities and behaviors in their academic success (exam scores) in a blended learning setting (combination of distance learning and face-to-face learning). Next to individual…
Descriptors: Blended Learning, Student Behavior, Personality, Academic Achievement
Catheryn A. Orihuela; Callista Cox; Retta Evans; Sylvie Mrug – Grantee Submission, 2023
Background: Food insecurity is characterized by limited access to adequate food due to a lack of money or resources (eg, lack of transportation to obtain food). School aged children who are experiencing food insecurity are at greater risk for poor academic outcomes, but previous studies have not examined the effects of food insecurity on specific…
Descriptors: Early Adolescents, Food, Outcomes of Education, Academic Achievement
Catheryn A. Orihuela; Callista Cox; Retta Evans; Sylvie Mrug – Journal of School Health, 2023
Background: Food insecurity is characterized by limited access to adequate food due to a lack of money or resources (eg, lack of transportation to obtain food). School aged children who are experiencing food insecurity are at greater risk for poor academic outcomes, but previous studies have not examined the effects of food insecurity on specific…
Descriptors: Early Adolescents, Food, Outcomes of Education, Academic Achievement
Hasty, Leslie M.; Malanchini, Margherita; Shakeshaft, Nicholas; Schofield, Kerry; Malanchini, Maddalena; Wang, Zhe – British Journal of Educational Psychology, 2021
Background: High academic anxiety is associated with poor academic performance. One proposed mechanism of this association is that academic anxiety promotes learning avoidance behaviours, which in turn hinders students' opportunities to learn and grow. However, this proposition has not been thoroughly examined, particularly in afterschool learning…
Descriptors: Anxiety, Academic Achievement, Mathematics Instruction, Second Language Learning
Allen, Peter J.; Tonta, Kate E.; Haywood, Sophie B.; Pereira, Raphael M.; Roberts, Lynne D. – Active Learning in Higher Education, 2019
Peer-assisted study session attendance is associated with multiple indicators of student success. However, attendance levels are generally low. We applied an extended theory of planned behaviour model, incorporating student role identity, to the prediction of peer-assisted study session attendance. Participants were 254 undergraduate students…
Descriptors: Peer Teaching, Study Habits, Undergraduate Students, Social Attitudes
Sandra M. Olivarez-Durden – ProQuest LLC, 2023
My study seeks to explore the extent that select secondary and postsecondary indicators predict STEM student enrollment and persistence particularly for Hispanic students. Identifying postsecondary STEM success and college readiness indicators with special focus on malleable indicators that can assist educators, administrators, and policymakers in…
Descriptors: Hispanic American Students, Predictor Variables, STEM Education, College Readiness
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
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
Hora, Matthew T.; Oleson, Amanda K. – International Journal of STEM Education, 2017
Background: A growing body of research in cognitive psychology and education research is illuminating which study strategies are effective for optimal learning, but little descriptive research focuses on how undergraduate students in STEM courses actually study in real-world settings. Using a practice-based approach informed by situated cognition…
Descriptors: Study Habits, Undergraduate Students, STEM Education, Learning Processes
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
Ogg, Julia; Volpe, Robert; Rogers, Maria – School Psychology Quarterly, 2016
The purpose of this study was to examine the relationship between inattention, academic enabling behaviors (i.e., motivation, engagement, and interpersonal skills), and early literacy outcomes. Kindergarten students (N = 181; 55.2% male; 62% white) from two research sites (Southeastern U.S. and Eastern Canada) were assessed using the Letter Naming…
Descriptors: Correlation, Student Behavior, Learner Engagement, Student Motivation
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
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
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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