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D'Souza, Kelwyn A.; Siegfeldt, Denise V. – Decision Sciences Journal of Innovative Education, 2017
Selecting the right methodology to use for detecting cheating in online exams requires considerable time and effort due to a wide variety of scholarly publications on academic dishonesty in online education. This article offers a cheating detection framework that can serve as a guideline for conducting cheating studies. The necessary theories and…
Descriptors: Identification, Cheating, Computer Assisted Testing, Testing Problems
Senkowski, Valerie; Branscum, Paul; Maness, Sarah; Larson, Daniel – American Journal of Health Education, 2017
Background: The United States Department of Agriculture (USDA) currently recommends that young adults consume 2.5-3 cups of vegetables daily, while also providing weekly recommendations for 5 vegetable subgroups: dark green, red and orange, beans and peas, starchy, and other. Purpose: The purpose of this study was to explore theory-based…
Descriptors: Models, Prediction, Health Behavior, Eating Habits
Gao, Fang; Ng, Jacky Chi Kit – British Educational Research Journal, 2017
Capital-embedded parental involvement in education is essential in enhancing university enrolment and maximising the educational potentials for equality and excellence. Previous studies in this field have mainly utilised Perna's (2000, 2006) model, which defines parental involvement as social capital and identifies the additive influences of…
Descriptors: Parent Participation, Social Capital, Cultural Capital, Economic Factors
Schmidt, Laura I.; Sieverding, Monika; Scheiter, Fabian; Obergfell, Julia – Educational Psychology, 2015
University students often report high stress levels, and studies even suggest a recent increase. However, there is a lack of theoretically based research on the structural conditions that influence students' perceived stress. The current study compared the effects of Karasek's demand-control dimensions with the influence of neuroticism to address…
Descriptors: Anxiety, Neurosis, Models, College Students
Acee, T. W.; Barry, W. J.; Flaggs, D. A.; Holschuh, J. P.; Daniels, S.; Schrauth, M. – Journal of Developmental Education, 2017
Nationally, developmental mathematics courses have some of the highest failure and withdrawal rates of postsecondary courses. A wide range of factors may be contributing to students' struggles in these courses. In order to help identify these factors, we asked students enrolled in developmental mathematics to identify factors interfering with…
Descriptors: College Mathematics, Academic Achievement, Academic Persistence, Holistic Approach
Lewis, Scott E. – Chemistry Education Research and Practice, 2018
The Achievement Goal Framework describes students' goal orientations as: task-based, focusing on the successful completion of the task; self-based, evaluating performance relative to one's own past performance; or other-based, evaluating performance relative to the performance of others. Goal orientations have been used to explain student success…
Descriptors: Goal Orientation, Chemistry, Models, Academic Achievement
Ren, Zhiyun; Rangwala, Huzefa; Johri, Aditya – International Educational Data Mining Society, 2016
The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Webb, Carrie; Vehrs, Pat R.; George, James D.; Hager, Ronald – Measurement in Physical Education and Exercise Science, 2014
The purpose of this study was to develop a step test with a personalized step rate and step height to predict cardiorespiratory fitness in 80 college-aged males and females using the self-reported perceived functional ability scale and data collected during the step test. Multiple linear regression analysis yielded a model (R = 0.90, SEE = 3.43…
Descriptors: Tests, Physical Fitness, College Students, Multiple Regression Analysis
McKay, Derek A.; Tokar, David M. – Journal of Vocational Behavior, 2012
The current study extended the empirical research on the overlap of vocational interests and personality by (a) testing hypothesized relations between RIASEC interests and the personality dimensions of the HEXACO model, and (b) exploring the HEXACO personality model's predictive advantage over the five-factor model (FFM) in capturing RIASEC…
Descriptors: Personality, Vocational Interests, Models, Correlation
Moradi, Fatemeh; Amiripour, Parvaneh – European Journal of Contemporary Education, 2017
In this study, an attempt was made to predict the students' mathematical academic underachievement at the Islamic Azad University-Yadegare-Imam branch and the appropriate strategies in mathematical academic achievement to be applied using the Data Envelopment Analysis (DEA) model. Survey research methods were used to select 91 students from the…
Descriptors: Foreign Countries, Prediction, Mathematics Achievement, Low Achievement
Barakat, Asia; Othman, Afaf – Journal of Education and Practice, 2015
The present study aims to identify the relationship between the five-factor model of personality and its relationship to cognitive style (rush and prudence) and academic achievement among a sample of students. The study is based on descriptive approach for studying the relationship between the variables of the study, results and analysis. The…
Descriptors: Foreign Countries, Cognitive Style, Academic Achievement, Correlation
Gutiérrez-Santiuste, Elba; Rodríguez-Sabiote, Clemente; Gallego-Arrufat, María-Jesús – Australasian Journal of Educational Technology, 2015
This study focuses on the relationships established between the elements that compose the community of inquiry (CoI): cognitive, social, and teaching presence. Using three questionnaires, we analyse the students' perception of synchronous and asynchronous virtual in text-based communication (chats, forums and emails). Starting from the high…
Descriptors: Correlation, Inquiry, Questionnaires, Student Attitudes
Senko, Corwin; Tropiano, Katie L. – Journal of Educational Psychology, 2016
Achievement goal theory (Dweck, 1986) initially characterized mastery goals and performance goals as opposites in a good-bad dualism of student motivation. A later revision (Harackiewicz, Barron, & Elliot, 1998) contended that both goals can provide benefits and be pursued together. Perhaps both frameworks are correct: Their contrasting views…
Descriptors: Comparative Analysis, Goal Orientation, Guidelines, Outcomes of Education
Lightner, Constance A.; Lightner-Laws, Carin A. – Interactive Learning Environments, 2016
As universities seek to bolster enrollment through distance education, faculty are tasked with maintaining comparable teaching/learning standards in traditional, blended, and online courses. Research has shown that there is an achievement gap between students taking courses exclusively offered online versus those enrolled in face-to-face classes.…
Descriptors: College Students, Business Schools, Blended Learning, Distance Education
Pearce, Lee R.; Pearce, Kristi L.; Siewert, Daluss J. – Journal on Excellence in College Teaching, 2017
The authors used a mixed-methods research design to evaluate a multi-tiered system of supports model to address the disturbing failure rates of underprepared college students placed in developmental mathematics at a small state university. While qualitative data gathered from using Participatory Action Research methods directed the two-year…
Descriptors: Mixed Methods Research, Mathematics Instruction, College Readiness, College Students