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Tekin, Nurcan; Gündeger, Ceylan – African Educational Research Journal, 2021
Technology transfer to classes has become very important for teachers, regardless of their field. The purpose of this study is to determine how pre-service teachers with high and low level of technological selfefficacy beliefs are predicted by the independent variables. These variables are attitude towards technology, attitude towards…
Descriptors: Predictor Variables, Preservice Teachers, Self Efficacy, Technological Literacy
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Mooney, Robyn – Industry and Higher Education, 2023
Whilst student engagement with learning has been consistently linked to positive academic outcomes, there has been an increasing focus among higher education institutions on the importance of producing employable graduates. This study investigated whether individual differences in socially aversive personality traits predict different types of…
Descriptors: Personality Traits, Learner Engagement, Student Attitudes, Employment Potential
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Messineo, Linda; Tosto, Crispino; Allegra, Mario – European Journal of Educational Research, 2021
The present study aimed to investigate the relationship between students' academic motivation, implicit beliefs about intelligence and learning strategies among undergraduate healthcare students. First-year students of healthcare degree courses from a university in Southern Italy were surveyed. The study measured psychological constructs by means…
Descriptors: Undergraduate Students, Predictor Variables, Learning Strategies, Student Motivation
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Davis, Krista M.; Chitiyo, George – Research in the Schools, 2019
The present study investigated mediating and moderating relationships among school-level indicators of (a) exclusionary discipline, (b) the extent to which student voice is valued: (c) the level of student engagement, and (d) the grade tier of students served. The sample comprised 128 schools--72 elementary, 34 middle, and 22 high--from a large…
Descriptors: Student Attitudes, Learner Engagement, Predictor Variables, Discipline Policy
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Ünsal Özbek, Elif Bengi; Yetkiner, Alper – International Journal of Psychology and Educational Studies, 2021
The developments and changes that have accompanied the COVID-19 pandemic have affected the educational world and all sectors. Educational institutions around the world have implemented emergency and online educational practises to ensure continuity of education as opposed to the planned distance education activities that were implemented for…
Descriptors: Regression (Statistics), Classification, Instructional Effectiveness, Electronic Learning
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Kuddar, Cagla; Cetin, Sevda – International Journal of Assessment Tools in Education, 2022
The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…
Descriptors: Mathematics Achievement, Structural Equation Models, Regression (Statistics), Achievement Tests
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Wolters, Christopher A.; Won, Sungjun; Hussain, Maryam – Metacognition and Learning, 2017
The primary goal of this study was to investigate whether college students' academic time management could be used to understand their engagement in traditional and active forms of procrastination within a model of self-regulated learning. College students (N = 446) completed a self-report survey that assessed motivational and strategic aspects of…
Descriptors: Time Management, Metacognition, Predictor Variables, College Students
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Lenz, A. Stephen; Holman, Rachel L.; Lancaster, Chloe; Gotay, Stephanie G. – Journal of College Counseling, 2016
The authors examined the association between relational health and student adjustment to college. Data were collected from 138 undergraduate students completing their 1st semester at a large university in the mid-southern United States. Regression analysis indicated that higher levels of relational authenticity were a predictor of success during…
Descriptors: Student Adjustment, Health, Correlation, Undergraduate Students
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Chen, Wei-Wen; Chen, Ching-Chen; Dai, Chia-Liang; U, Nok Man; Cheng, Lin – Interactive Learning Environments, 2018
The incremental theory of intelligence has been identified as a strong predictor of students' learning motivation. Recent research has suggested various moderators of its effect. The present study sought to examine the moderating effects of self-enhancement and self-criticism on the relation between incremental intelligence beliefs and students'…
Descriptors: Foreign Countries, Intelligence, Student Motivation, Junior High School Students
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Tkachuck, Mathew A.; Schulenberg, Stefan E.; Lair, Elicia C. – Journal of American College Health, 2018
Objective: There is growing interest in the effectiveness of disaster preparedness at universities. Although several studies have examined student preparedness perceptions, a better understanding of factors that may influence actual preparedness is needed. Participants: Seven hundred sixty-five undergraduate and graduate students at a southeastern…
Descriptors: Natural Disasters, Emergency Programs, College Students, Knowledge Level
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Deemer, Eric D.; Smith, Jessi L. – Learning Environments Research, 2018
The current research examined the psychometric properties and utility of a measure of college classroom environment in predicting goal-related outcomes rooted in goal contents and achievement goal theories. Exploratory and confirmatory factor analyses in Studies 1 and 2, respectively, yielded support for two distinct and gender-invariant classroom…
Descriptors: Science Instruction, Personal Autonomy, Undergraduate Students, Student Motivation
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Jones, Willis A.; Liu, Keke; Bell, Lydia F. – Journal of College Student Development, 2017
We examined a student subgroup often absent from diversity research: student-athletes. We explored whether intercollegiate athletic teams are promoting an open and inclusive environment and whether creating such an environment leads to more frequent and more positive cross-racial interactions. Findings reveal that overall, coaches appear to be…
Descriptors: Student Diversity, Athletes, College Athletics, Team Sports
Ganley, Colleen M.; George, Casey E.; Cimpian, Joseph R.; Makowski, Martha B. – American Educational Research Journal, 2018
Women are underrepresented in many science, technology, engineering, and mathematics (STEM) majors and in some non-STEM majors (e.g., philosophy). Combining newly gathered data on students' perceptions of college major traits with data from the Education Longitudinal Study of 2002 (ELS:2002), we find that perceived gender bias against women…
Descriptors: Majors (Students), Gender Differences, Sex Fairness, Females
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Šorgo, Andrej; Bartol, Tomaž; Dolnicar, Danica; Boh Podgornik, Bojana – British Journal of Educational Technology, 2017
Digital natives are assumed to possess knowledge and skills that allow them to handle information and communication technologies (ICT) tools in a "natural" way. Accordingly, this calls for the application of different teaching/learning strategies in education. The purpose of the study was to test the predictive strength of some…
Descriptors: Higher Education, Information Literacy, Telecommunications, Regression (Statistics)
Smith, Ellen M. T. – ProQuest LLC, 2017
An equitable predictor of academic success is needed as nursing education strives toward comprehensive preparation of diverse nursing students. The purpose of this study was to discover how Sedlacek's (2004a) Noncognitive Questionnaire (NCQ) and Duckworth & Quinn's (2009) Grit-S predicted baccalaureate nursing student academic performance and…
Descriptors: Nursing Education, Predictor Variables, Grade Point Average, College Entrance Examinations
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