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Yildiz, Gizem; Yildirim, Abdurrahman; Akça, Bedreddin Ali; Kök, Ayse; Özer, Açelya; Karatas, Serçin – International Review of Research in Open and Distributed Learning, 2020
A total of 1023 selected articles published in 2016-2019 related to mobile learning were examined and classified according to the categories in this research: 40% of these articles used quantitative approaches, 18% of them used mixed, and 13% of them were literature reviews. The published studies were analyzed according to research model, sample…
Descriptors: Educational Trends, Educational Research, Electronic Learning, Handheld Devices
Chatti, Mohamed Amine; Muslim, Arham – International Review of Research in Open and Distributed Learning, 2019
Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing…
Descriptors: Guidelines, Data Analysis, Learning Experience, Metacognition
Prasad, Deepak; Totaram, Rajneel; Usagawa, Tsuyoshi – International Review of Research in Open and Distributed Learning, 2016
Textbook costs have skyrocketed in recent years, putting them beyond the reach of many students, but there are options which can mitigate this problem. Open textbooks, an open educational resource, have proven capable of making textbooks affordable to students. There have been few educational development as promising as the development of open…
Descriptors: Textbooks, Shared Resources and Services, Data Collection, Data Analysis
Amigud, Alexander; Arnedo-Moreno, Joan; Daradoumis, Thanasis; Guerrero-Roldan, Ana-Elena – International Review of Research in Open and Distributed Learning, 2017
This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students' patterns of language use from data,…
Descriptors: Data Collection, Data Analysis, Integrity, Electronic Learning
Fynn, Angelo – International Review of Research in Open and Distributed Learning, 2016
The prediction and classification of student performance has always been a central concern within higher education institutions. It is therefore natural for higher education institutions to harvest and analyse student data to inform decisions on education provision in resource constrained South African environments. One of the drivers for the use…
Descriptors: Academic Achievement, Higher Education, Foreign Countries, Data Collection
Veletsianos, George; Shepherdson, Peter – International Review of Research in Open and Distributed Learning, 2016
A deluge of empirical research became available on MOOCs in 2013-2015 and this research is available in disparate sources. This paper addresses a number of gaps in the scholarly understanding of MOOCs and presents a comprehensive picture of the literature by examining the geographic distribution, publication outlets, citations, data collection and…
Descriptors: Literature Reviews, Educational Technology, Online Courses, Large Group Instruction
Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – International Review of Research in Open and Distributed Learning, 2016
Although the implementation of e-learning initiatives has reached advanced stages in developed countries, it is still in its infancy in many developing nations and the Middle East in particular. Recently, few public universities in Iraq have initiated limited attempts to use e-learning alongside traditional classrooms. However, different obstacles…
Descriptors: Barriers, Educational Opportunities, Electronic Learning, Program Implementation
Giannakos, Michail N.; Chorianopoulos, Konstantinos; Chrisochoides, Nikos – International Review of Research in Open and Distributed Learning, 2015
Online video lectures have been considered an instructional media for various pedagogic approaches, such as the flipped classroom and open online courses. In comparison to other instructional media, online video affords the opportunity for recording student clickstream patterns within a video lecture. Video analytics within lecture videos may…
Descriptors: Video Technology, Lecture Method, Educational Technology, Technology Uses in Education