Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
BackgroundMassive open online courses (MOOCs) have gained popularity as a form of distance education, highlighting the need for additional research. Various studies have systematically examined scholarly research on MOOCs. However, the reviewed academic publications on the use of MOOCs in engineering education are limited.Purpose/Hypothesis(es)This study aims to examine the implementation of MOOCs in engineering education using systematic review and bibliometric analysis methods.Design/MethodThis study examines 68 studies from the Web of Science database that fall within the scope of the systematic review and 257 studies for bibliometric analysis.ResultsSince 2018, there has been a growing number of studies exploring the uses of MOOCs in engineering education. The quantitative research method is the most preferred, while the mixed method is the least preferred. The study found that using MOOCs in engineering education resulted in positive student perceptions and satisfaction. However, the lack of interactivity between learners and instructors or among learners was the most frequently reported problem. Moreover, the bibliometric analysis indicates that reviewed studies extensively explore learners' engagement, interactions, and feedback processes. Recently, academic research focused on sentiment analysis, deep learning, educational technology, machine learning, and text mining.ConclusionsThere is a need for further investigation into utilizing MOOCs in engineering education. This study's evaluation of MOOCs' pros and cons yields essential insights for optimizing their use in engineering education. By leveraging the positive aspects outlined in the study, educators can enhance engineering students' satisfaction and participation in MOOCs. These findings offer a valuable resource for researchers exploring MOOC‐related topics in engineering education.
BackgroundMassive open online courses (MOOCs) have gained popularity as a form of distance education, highlighting the need for additional research. Various studies have systematically examined scholarly research on MOOCs. However, the reviewed academic publications on the use of MOOCs in engineering education are limited.Purpose/Hypothesis(es)This study aims to examine the implementation of MOOCs in engineering education using systematic review and bibliometric analysis methods.Design/MethodThis study examines 68 studies from the Web of Science database that fall within the scope of the systematic review and 257 studies for bibliometric analysis.ResultsSince 2018, there has been a growing number of studies exploring the uses of MOOCs in engineering education. The quantitative research method is the most preferred, while the mixed method is the least preferred. The study found that using MOOCs in engineering education resulted in positive student perceptions and satisfaction. However, the lack of interactivity between learners and instructors or among learners was the most frequently reported problem. Moreover, the bibliometric analysis indicates that reviewed studies extensively explore learners' engagement, interactions, and feedback processes. Recently, academic research focused on sentiment analysis, deep learning, educational technology, machine learning, and text mining.ConclusionsThere is a need for further investigation into utilizing MOOCs in engineering education. This study's evaluation of MOOCs' pros and cons yields essential insights for optimizing their use in engineering education. By leveraging the positive aspects outlined in the study, educators can enhance engineering students' satisfaction and participation in MOOCs. These findings offer a valuable resource for researchers exploring MOOC‐related topics in engineering education.
Cursos Online Abertos e Massivos (MOOCs) possuem o potencial de abrir oportunidades educacionais e experiências de aprendizado para um público global, combinando os avanços tecnológicos recentes e a aprendizagem mediada pela tecnologia. Em geral, eles são considerados cursos virtuais que não exigem qualificações prévias para a entrada, podem ser acessados por qualquer pessoa e atraem um público diversificado, com uma variedade de experiências e qualificações profissionais. No entanto, equipes responsáveis por desenvolverem MOOCs (incluindo instrutores e projetistas de aprendizagem, entre outros) deparam-se com vários desafios ao projetar para a aprendizagem nesse contexto. Neste trabalho, duas lacunas principais são investigadas e abordadas: a falta de estratégias de projeto de aprendizagem bem definidas e validadas para apoiar os profissionais no desenvolvimento de MOOCs; e as limitações nos modelos de projeto pedagógico adotados, geralmente baseados em formatos tradicionais de sala de aula, tais como abordagens centradas no professor e a aprendizagem baseada em conteúdo. O objetivo deste trabalho é propor e validar uma estratégia de projeto de aprendizagem denominada Learning Design Framework for MOOCs (LDF4MOOCs), baseada em mecanismos de Engenharia de Software e procedimentos sistemáticos para garantir a padronização e a produtividade de todos os aspectos envolvidos no processo de desenvolvimento de MOOCs. LDF4MOOCs consiste em: (i) um processo do ciclo de vida para MOOCs, que descreve etapas fundamentais para planejar, oferecer e avaliar um MOOC; (ii) uma Linguagem de Padrões de Projeto Educacional para MOOCs, baseada em problemas e soluções recorrentes para resolver as principais atividades descritas no ciclo de vida; e (iii) recursos de apoio relacionados. LDF4MOOCs também é pedagogicamente informado pelas ideias de Flipped Learning, incluindo estratégias de aprendizagem ativa, aprendizado autorregulado, projeto baseado em competências, aprendizado centrado no aluno, entre outros. O framework e seus elementos foram validados internamente por meio de um estudo experimental, três estudos de caso e duas revisões por especialistas. Adicionalmente, um estudo de campo envolvendo educadores que usaram o LDF4MOOCs como uma guia para desenvolver seus MOOCs foi utilizado como método de validação externa. Os resultados obtidos indicam que LDF4MOOCs apresenta um impacto positivo no projeto de aprendizagem para MOOCs, sugerindo que tal estratégia pode ser efetivamente aplicada para apoiar e melhorar o desenvolvimento de MOOCs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.