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Michelle A. Burnside – ProQuest LLC, 2024
Persistence in distance learning has become problematic. This quantitative nonexperimental study examined whether perceived connectivity, perceived internal locus of control, and age predict persistence in online master's degree programs. Rotter's locus of control theory, Moore's transactional distance theory, and Rovai's composite persistence…
Descriptors: Locus of Control, Age, Predictor Variables, Academic Persistence
Murat Çinar; Dilek Dogan; Ömer Demir – Education and Information Technologies, 2025
This study aims to examine how external locus of control (eLoC) impacts students' academic procrastination behaviors in asynchronous distance education with regard to compulsive internet habits, cyberloafing, disrespect for copyright, learning goal orientation, and self-efficacy. The sample comprised a total of 916 undergraduate students.…
Descriptors: Predictor Variables, Time Management, Online Courses, Locus of Control
Carrillo-Higueras, Franz; Walton, T. R. – Higher Education Research and Development, 2020
This article explores four critical factors in the determining of regional and remote school students' intentions to progress to university. Three of these factors are based on the theory of planned behaviour (TPB): students' attitudes, the opinions of their significant others (social capital), and students' perceptions of control. A fourth…
Descriptors: Secondary School Students, Student Attitudes, Rural Areas, Foreign Countries
Naseer, Naila; Majid, Shaista – Pakistan Journal of Distance and Online Learning, 2018
The purpose of the study was to predict academic achievement of distance learners from Locus of Control. The study was delimited to teacher education Programs (M.A., M.Ed and B.Ed) offered by universities of Pakistan through distance learning mode. A total number of 1513 students was selected through stratified sampling technique. The Nowicki-Duke…
Descriptors: Distance Education, Locus of Control, Academic Achievement, Predictor Variables
Yukselturk, Erman; Ozekes, Serhat; Turel, Yalin Kilic – European Journal of Open, Distance and E-Learning, 2014
This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographic Survey, Online Technologies…
Descriptors: Online Courses, Distance Education, Dropout Characteristics, Prediction
Harrell, Ivan L., II; Bower, Beverly L. – American Journal of Distance Education, 2011
This study examined the student characteristics of learning style, locus of control, computer experience and access, and online course experience on persistence of community college students in online courses. An online survey instrument based on the Barsch Learning Style Inventory (1996), the Abbreviated Measure of Internal-External Locus of…
Descriptors: Locus of Control, College Students, Cognitive Style, Grade Point Average

Parker, Angie – International Journal of Educational Technology, 1999
This study of community college students investigated predictors of student dropout in distance education courses. Considered locus of control, gender, number of distance education courses completed, age, financial assistance, and number of hours employed, and used correlation and discriminant analysis to show locus of control and financial aid…
Descriptors: Age, Community Colleges, Correlation, Discriminant Analysis

Dille, Brian; Mezack, Michael – American Journal of Distance Education, 1991
Describes a study that was conducted to identify predictors of high-risk students enrolled in telecourses at a community college. The use of Rotter's Internal-External Locus of Control Scale (RIELC) and Kolb's Learning Style Inventory (LSI) are explained, hypotheses tested are discussed, and demographic variables are examined. (seven references)…
Descriptors: Academic Achievement, Analysis of Variance, Cognitive Style, Community Colleges
Darwazeh, Afnan N. – 1998
The aim of this study was to investigate some of the learner variables that may have an influence on university academic achievement in a distance versus a conventional education setting. Descriptive and analytical statistics were used to analyze data by using "Pearson r," and "F-test." Results revealed that the university…
Descriptors: Academic Achievement, Comparative Analysis, Conventional Instruction, Curriculum Development