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Download full textKasalak, Gamze; Dagyar, Miray – Teachers and Curriculum, 2020
The study aims to determine the relationship between university students' satisfaction with the university and the use of resource management and metacognitive self-regulatory learning strategies through structural equation modelling. This study was designed in a descriptive correlational model. The data were collected from 364 undergraduate…
Descriptors: Student Satisfaction, Metacognition, Learning Strategies, Undergraduate Students
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
Kursun, Engin – International Review of Research in Open and Distributed Learning, 2016
Although a number of claims have been made describing massive open online courses (MOOCs) as a disruptive innovation in education, these claims have not yet been proven through research. Instead, MOOCs should perhaps be considered as an integrative model for higher education systems, but to do so will require recognition of credentials. Initial…
Descriptors: Educational Environment, Online Courses, Electronic Learning, Distance Education
Miller, L. Dee; Soh, Leen-Kiat; Samal, Ashok; Kupzyk, Kevin; Nugent, Gwen – Journal of Educational Data Mining, 2015
Learning objects (LOs) are important online resources for both learners and instructors and usage for LOs is growing. Automatic LO tracking collects large amounts of metadata about individual students as well as data aggregated across courses, learning objects, and other demographic characteristics (e.g. gender). The challenge becomes identifying…
Descriptors: Comparative Analysis, Data Analysis, Hierarchical Linear Modeling, Electronic Learning
