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Odiel Estrada-Molina; Juanjo Mena; Alexander López-Padrón – International Review of Research in Open and Distributed Learning, 2024
No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Open Education, Educational Trends
Sebbaq, Hanane; El Faddouli, Nour-eddine – International Review of Research in Open and Distributed Learning, 2022
The quality assurance of MOOCs focuses on improving their pedagogical quality. However, the tools that allow reflection on and assistance regarding the pedagogical aspects of MOOCs are limited. The pedagogical classification of MOOCs is a difficult task, given the variability of MOOCs' content, structure, and designs. Pedagogical researchers have…
Descriptors: MOOCs, Classification, Educational Objectives, Models
Cagiltay, Nergiz Ercil; Cagiltay, Kursat; Celik, Berkan – International Review of Research in Open and Distributed Learning, 2020
Massive Open Online Courses (MOOCs), capable of providing free (or low cost) courses for millions of learners anytime and anywhere, have gained the attention of researchers, educational institutions, and learners worldwide. Even though they provide several benefits, there are still some criticisms of MOOCs. For instance, MOOCs' high dropout rates…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Student Characteristics
Kamble, Aakash; Gauba, Ritika; Desai, Supriya; Golhar, Devidas – International Review of Research in Open and Distributed Learning, 2021
Online learning environments (OLE) continue to expand due to the COVID-19 pandemic and the transition of a majority of educational institutions and universities worldwide from traditional classroom settings to online learning methods. The purpose of this study was to understand the perceptions of learners at a university in India toward the sudden…
Descriptors: Foreign Countries, COVID-19, Pandemics, School Closing
Samuel, Anita – International Review of Research in Open and Distributed Learning, 2020
As instructors are forced to move their courses online, they are confronted by a sense of isolation and distance from their learners. Research has shown that feelings of loneliness are mitigated when "presence" is created in the online environment. An interpretive phenomenological analysis was conducted at a public university in the…
Descriptors: College Faculty, Online Courses, Teacher Student Relationship, Teaching Experience
Babori, Abdelghani; Zaid, Abdelkarim; Fassi, Hicham Fihri – International Review of Research in Open and Distributed Learning, 2019
Over the last decade, several studies have focused on massive open online courses (MOOCs). The synthesis presented here concentrates on these studies and aims to examine the place held by content in these studies, especially those produced between 2012 and 2018: sixty-five peer reviewed papers are identified through five major educational…
Descriptors: Online Courses, Educational Objectives, Prerequisites, Learning Strategies
King, Monty; Pegrum, Mark; Forsey, Martin – International Review of Research in Open and Distributed Learning, 2018
This paper examines the problems and potential of Massive Open Online Courses (MOOCs) and Open Education Resources (OER) in the global South. Employing a systematic review of the research into the use of open online learning technologies in Southern contexts, we identify five interrelated themes emerging from the literature: (1) access to the…
Descriptors: Large Group Instruction, Online Courses, Shared Resources and Services, Geographic Location
Zawacki-Richter, Olaf; Bozkurt, Aras; Alturki, Uthman; Aldraiweesh, Ahmed – International Review of Research in Open and Distributed Learning, 2018
Since the first offering of a Massive Open Online Course (MOOC) in 2008, the body of literature on this new phenomenon of open learning has grown tremendously. In this regard, this article intends to identify and map patterns in research on MOOCs by reviewing 362 empirical articles published in peer-reviewed journals from 2008 to 2015. For the…
Descriptors: Online Courses, Educational Technology, Large Group Instruction, Technology Uses in Education
LoCasale-Crouch, Jennifer; Hamre, Bridget; Roberts, Amy; Neesen, Kathy – International Review of Research in Open and Distributed Learning, 2016
The "Effective Classroom Interactions" (ECI) online courses were designed to provide an engaging, effective and scalable approach to enhancing early childhood teachers' use of classroom practices that impact children's school readiness. The created courses included several versions aimed at testing whether or not certain design aspects…
Descriptors: Online Courses, Teaching Methods, Course Content, School Readiness
Oliphant, Tami; Branch-Mueller, Jennifer – International Review of Research in Open and Distributed Learning, 2018
This study investigates how time intersects with student learning in Canada's first, and only, Master of Library and Information Studies (MLIS) in an online teaching and learning stream. Thirty-two students responded to a survey that asked about their experiences, perceptions, and challenges after their first year of the program. Descriptive…
Descriptors: Masters Degrees, Library Science, Information Science Education, Online Courses
Cerón-Figueroa, Sergio; López-Yáñez, Itzamá; Villuendas-Rey, Yenny; Camacho-Nieto, Oscar; Aldape-Pérez, Mario; Yáñez-Márquez, Cornelio – International Review of Research in Open and Distributed Learning, 2017
The present work describes an original associative model of pattern classification and its application to align different ontologies containing Learning Objects (LOs), which are in turn related to Open and Distance Learning (ODL) educative content. The problem of aligning ontologies is known as Ontology Matching Problem (OMP), whose solution is…
Descriptors: Open Education, Distance Education, Classification, Metadata
Costa-jussà, Mart R.; Formiga, Lluís; Torrillas, Oriol; Petit, Jordi; Fonollosa, José A. R. – International Review of Research in Open and Distributed Learning, 2015
This paper describes the design, development, and analysis of a MOOC entitled "Approaches to Machine Translation: Rule-based, statistical and hybrid", and provides lessons learned and conclusions to be taken into account in the future. The course was developed within the Canvas platform, used by recognized European universities. It…
Descriptors: Foreign Countries, Online Courses, Computational Linguistics, Translation
Anders, Abram – International Review of Research in Open and Distributed Learning, 2015
Initial studies of learning in massive open online courses (MOOCs) primarily focused on participation patterns and participant experiences. More recently, research has addressed learning theories and offered case studies of different pedagogical designs for MOOCs. Based on a meta-analysis and synthesis of the research literature, this study…
Descriptors: Online Courses, Technology Uses in Education, Instructional Design, Large Group Instruction
Impey, Chris D.; Wenger, Matthew C.; Austin, Carmen L. – International Review of Research in Open and Distributed Learning, 2015
Astronomy: State of the Art is a massive, open, online class (MOOC) offered through Udemy by an instructional team at the University of Arizona. With nearly 24,000 enrolled as of early 2015, it is the largest astronomy MOOC available. The astronomical numbers enrolled do not translate into a similar level of engagement. The content consists of 14…
Descriptors: Online Courses, Large Group Instruction, Distance Education, Educational Technology
Rodriguez, Brenda Cecilia Padilla; Armellini, Alejandro – International Review of Research in Open and Distributed Learning, 2015
Although interaction is recognised as a key element for learning, its incorporation in online courses can be challenging. The interaction equivalency theorem provides guidelines: Meaningful learning can be supported as long as one of three types of interactions (learner-content, learner-teacher and learner-learner) is present at a high level. This…
Descriptors: Interaction, Online Courses, Theories, Teacher Student Relationship
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