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Using Control-Value Theory to Predict Completion Intentions in Vocational Education Students
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Hutton, E. A.; Skues, J. L.; Wise, L. Z. – International Journal of Training Research, 2019
This study used Control-Value Theory to examine the extent to which appraisals of control and value predicted students' intentions to complete their studies and whether the effects of these appraisals on completion intentions are mediated by the achievement emotions of enjoyment, frustration, anger and boredom. A sample of 158 Australian…
Descriptors: Foreign Countries, Prevocational Education, Academic Achievement, Intention
Analysing Self-Regulated Learning Strategies of MOOC Learners through Self-Reported Data
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Alonso-Mencía, M. Elena; Alario-Hoyos, Carlos; Estévez-Ayres, Iria; Delgado Kloos, Carlos – Australasian Journal of Educational Technology, 2021
Massive open online courses (MOOCs) require registered learners to be autonomous in their learning. Nevertheless, prior research studies showed that many learners lack the necessary self-regulated learning (SRL) skills to succeed in MOOCs. This research study aimed to gain insights into the relationships that exist between SRL and background…
Descriptors: Self Management, Independent Study, Learning Strategies, Online Courses
An Innovative MOOC Platform: The Implications of Self-Directed Learning Abilities to Improve Motivation in Learning and to Support Self-Regulation
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Onah, Daniel F. O.; Pang, Elaine L. L.; Sinclair, Jane E.; Uhomoibhi, James – International Journal of Information and Learning Technology, 2021
Purpose: Massive open online courses (MOOCs) have received wide publicity and many institutions have invested considerable effort in developing, promoting and delivering such courses. However, there are still many unresolved questions relating to MOOCs and their effectiveness in a blended-learning context. One of the major recurring issues raised…
Descriptors: MOOCs, Questionnaires, Learning Strategies, Blended Learning
The Predictive Validity of Using Admissions Testing and Multiple Mini-Interviews in Undergraduate University Admissions
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Makransky, Guido; Havmose, Philip; Vang, Maria Louison; Andersen, Tonny Elmose; Nielsen, Tine – Higher Education Research and Development, 2017
The aim of this study was to evaluate the predictive validity of a two-step admissions procedure that included a cognitive ability test followed by multiple mini-interviews (MMIs) used to assess non-cognitive skills, compared to grade-based admissions relative to subsequent drop-out rates and academic achievement after one and two years of study.…
Descriptors: Predictive Validity, College Admission, Admission Criteria, College Entrance Examinations
Understanding Learners' Motivation and Learning Strategies in MOOCs
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Alario-Hoyos, Carlos; Estévez-Ayres, Iria; Pérez-Sanagustín, Mar; Delgado Kloos, Carlos; Fernández-Panadero, Carmen – International Review of Research in Open and Distributed Learning, 2017
MOOCs (Massive Open Online Courses) have changed the way in which OER (Open Educational Resources) are bundled by teachers and consumed by learners. MOOCs represent an evolution towards the production and offering of structured quality OER. Many institutions that were initially reluctant to providing OER have, however, joined the MOOC wave.…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Student Learning Motivation as a Mediator of the Relationship between Service Quality and Student Performance
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Ibrahim, Hamdi H. M. – ProQuest LLC, 2016
Students look for evidence of service quality when selecting a university to attend. Student dissatisfaction with the quality of service may reduce student motivation in online higher-education settings, and low levels of motivation may lead to inferior student performance and a persistently high dropout rate. The purpose of this quantitative,…
Descriptors: Academic Achievement, Learning Motivation, Higher Education, Dropout Rate