scholarly journals Massive Open Online Courses (MOOCs) Dropout Rate in the World: A Systematic Review Protocol

2020 ◽  
Author(s):  
Manoosh Mehrabi ◽  
Ali Reza Safarpour ◽  
Abbas Ali Keshtkar
Keyword(s):  
Systematic Review ◽  
Online Courses ◽  
Meta Analysis ◽  
Dropout Rate ◽  
Open Science ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
The World ◽  
Review Protocol ◽  
Science Framework

Abstract BackgroundRecently, massive open online courses (MOOCs) have received increasing popularity throughout the world. Regardless of the subject taught and the university providing the course, the dropout rate of MOOCs is one of the most important challenges ahead.Methods This systematic review will search MEDLINE/PubMed, Scopus, Web of Science (Clarivate Analytics), Embase (Embase.com), ASSIA, CINAHL, Education Research, BEI, and Eric databases systematically according to predefined criteria without language restrictions to retrieve prospective and retrospective observational studies conducted between the 1st of January 2000 and 30th of March 2020 which evaluated the frequency of leaving MOOCs throughout the world. In the absence of severe methodological heterogeneity, the data will be combined and a meta-analysis will be performed. DiscussionAs dropout rate is one of the most challenges that universities may encounter, this systematic review will help universities extend their view, save their resources or maybe design their MOOCs differently.RegistrationRegistered in Open Science Framework, available at: https://osf.io/jgyqx/

423 Massive Open Online Courses in Anatomy Education: A Systematic Review

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
J Cheong ◽  
I Keenan
Keyword(s):  
Systematic Review ◽  
Medical Education ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Learning Approaches ◽  
Discussion Forums ◽  
Massive Open Online ◽  
Pubmed Database ◽  
Literature Search Strategy ◽  
Learning Development

Abstract Introduction Massive open online courses (MOOCs) have become increasingly popular for remotely delivering education to global audiences. MOOCs can provide an online platform for participants coming from a variety of professional backgrounds and international locations. Our systematic review investigated current literature surrounding MOOCs, and identified the value of such courses with respect to anatomical and medical education. Method Our literature search strategy involved exploring the PubMed database for the terms ’MOOC + Anatomy’ and ‘MOOC + Medical Education’ identified 290 relevant articles. Following implementation of the PRISMA criteria, 24 articles out of 290 were selected for inclusion in our systematic review. Results Participants completing MOOCs in anatomical and medical education generally showed increased knowledge and skills. We found that MOOC discussion forums encourage participants’ social learning development. MOOCs have shown to address participants’ needs and expectations while supplementing traditional learning approaches. However, the majority of experimental research studies did not include pre-post testing or appropriate controls. Furthermore, high levels of participant attrition, inability to address all learning approaches were identified as limitations with respect to MOOCs. Conclusions Although MOOCs have shown success in providing an excellent platform for learning, it has yet to show definitive improvements when compared to traditional teaching methods.

scholarly journals MOOCS As A Method Of Distance Education In The Arab World – A Review Paper

2015 ◽  
Vol 18 (1) ◽  
pp. 123-138 ◽  
Author(s):  
Raniah Samir Adham ◽  
Karsten Oster Lundqvist
Keyword(s):  
Online Learning ◽  
Review Paper ◽  
Online Courses ◽  
Arab World ◽  
Arab Countries ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
The World ◽  
The Status ◽  
Developed World

Abstract Massive Open Online Courses (MOOCs) in the Arab World are still in their infancy. Many Arab countries are now starting to launch their MOOC platforms; however, there are only a few who have actually implemented such systems. This paper will explore online learning, in particular the rise of MOOCs around the world and their impact on the Arab World. The purpose of this paper is to give a true picture of the development of the first MOOC platforms in the Arab World. It will analyse in detail the concept, definitions, background, and types of MOOCs (xMOOCs and cMOOCs), as well as the main MOOCs platform in the Western and Arab worlds, and a timeline of the development of MOOCs. It will then observe the status of MOOCs in the developed world, opportunities in the Middle East, and the influence of Western MOOCs on the Arab world, from many perspectives, e.g. educational, religious, cultural and social.

Massive Open Online Courses (MOOCs), Features and Platforms

2018 ◽  
pp. 83-99
Author(s):  
Abhishek Kumar ◽  
Shweta Nishad Brahmbhatt
Keyword(s):  
Online Courses ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Current State ◽  
The World ◽  
E Learning ◽  
Definition Of

This chapter aims to provide an up-to-date snapshot of the current state of application called MOOCs, which are one of the subset of e-Learning. MOOCs (Massive Open Online Courses) provide a new way of learning, which is open, participatory, distributed and lifelong. Various premier universities of the world are now offering courses in the form of MOOCs. The MHRD, Government of India has also started a MOOCs platform called SWAYAM. This chapter covers the definition of MOOCs, its features and different MOOC platforms being used for e-learning i.e. edX, Coursera, SWAYAM, Udacity.

The Future of Tourism, Hospitality and Events Teaching and Training

2020 ◽  
Author(s):  
Clare Lade ◽  
Paul Strickland ◽  
Elspeth Frew ◽  
Paul Willard ◽  
Sandra Cherro Osorio ◽  
...  
Keyword(s):  
Online Education ◽  
Potential Application ◽  
Teaching And Learning ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Global Pandemic ◽  
The World ◽  
The Impact ◽  
And Training

This chapter examines the ways in which teaching and training in tourism, hospitality and events have evolved and adapted to the contemporary demands of academia and industry. It explores the development of education in tourism, hospitality and events, the contemporary factors which influence teaching and learning, and discusses the rise of Massive Open Online Courses with a particular focus on their potential application within tourism, hospitality and events curriculum. The chapter concludes by providing an overview of Open Badges and their importance in education. At the time of writing, the world has been confronted by the Covid-19 global pandemic which has caused great disruption at all levels. The impact of Covid-19 is briefly addressed in this chapter as the enforcement of social distancing measures has led to a significant increase globally in online education.

A Comparative Study on Various Vocabulary Knowledge Scales for Predicting Vocabulary Pre-Knowledge

2017 ◽  
Vol 15 (1) ◽  
pp. 69-81 ◽  
Author(s):  
Di Zou ◽  
Haoran Xie ◽  
Yanghui Rao ◽  
Tak-Lam Wong ◽  
Fu Lee Wang ◽  
...  
Keyword(s):  
Language Learning ◽  
Online Courses ◽  
Vocabulary Knowledge ◽  
Massive Open Online Courses ◽  
Learning Resources ◽  
Massive Open Online ◽  
The World ◽  
History Of ◽  
E Learning ◽  
Knowledge Levels

The world has encountered and witnessed the great popularity of various emerging e-learning resources such as massive open online courses (MOOCs), textbooks and videos with the development of the big data era. It is critical to understand the characteristics of users to assist them to find desired and relevant learning resources in such a large volume of resources. For example, understanding the pre-knowledge on vocabulary of learners is very prominent and useful for language learning systems. The language learning effectiveness can be significantly improved if the pre-knowledge levels of learners on vocabulary can be accurately predicted. In this research, the authors model the vocabulary of learners by extracting their history of learning documents and identify the suitable vocabulary knowledge scales (VKS) for pre-knowledge prediction. The experimental results on real participants verify that the optimal VKS and the proposed predicting model are powerful and effective.

scholarly journals RESEARCH ON THE DEVELOPMENT, INNOVATION AND LEARNING OF MOOC EDUCATION

2021 ◽  
Author(s):  
QIU-HU DENG
Keyword(s):  
Online Courses ◽  
Massive Open Online Courses ◽  
Market Demand ◽  
Massive Open Online ◽  
Learning Society ◽  
Teaching Innovation ◽  
Quality Of Teaching ◽  
The World ◽  
Learning Projects

Since the birth of massive open online courses (MOOC) in 2011, MOOC has developed rapidly all over the world. MOOC platform has developed from providing courses to providing social recognized degree certificates for learners. There are many MOOC platforms at home and abroad. Many scholars believe that MOOC is a destructive innovation form of education. Many famous schools have launched MOOC projects. After years of development, the platforms launch course combinations to meet the needs of learners and provide certification according to the market demand. MOOC is conducive to promoting teaching innovation, promoting the sharing of high-quality resources, improving the quality of teaching, expanding education services, and building a lifelong learning society. Learners should start from their own interests, choose suitable learning projects, actively, consciously and diligently complete online learning, so that MOOC learning can be effective and applied.

scholarly journals Utility of massive open online courses (MOOCs) concerning outbreaks of emerging and reemerging diseases

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1699 ◽  
Author(s):  
Guido Bendezu-Quispe ◽  
Junior Smith Torres-Roman ◽  
Brenda Salinas-Ochoa ◽  
Akram Hernández-Vásquez
Keyword(s):  
Health Professionals ◽  
Online Courses ◽  
Disease Outbreaks ◽  
Massive Open Online Courses ◽  
Health Issues ◽  
Massive Open Online ◽  
Knowledge And Skills ◽  
The World ◽  
Education Courses ◽  
Skilled Health

The emergence and re-emergence of infectious diseases such as Ebola, chikungunya, and Zika increase the necessity of knowledgeable and skilled health professionals. Massive open online courses (MOOCs) arise as opportunities that allow people around the world to participate in higher education courses. A search was conducted on specialized MOOC platforms to find courses related to outbreaks, using terms included in the list of the WHO disease outbreaks from January 1st to December 31st, 2016. We found seven courses about Ebola, two about Zika, three about the dynamics of epidemics and pandemics, and only one course about dengue, chikungunya, and malaria. Most of the courses were conducted in English. The courses on Ebola, Zika and chikungunya were released after their last outbreak. MOOCs could be used to learn about health issues of global relevance, and with the necessity of fast divulgation of knowledge and skills. Translating the courses into more languages could give these courses more traction, and allow participation of professionals in regions affected by these outbreaks.

scholarly journals A Bayesian CNN-LSTM Model for Sentiment Analysis in Massive Open Online Courses MOOCs

2021 ◽  
Vol 16 (23) ◽  
pp. 216-232
Author(s):  
Khaoula Mrhar ◽  
Lamia Benhiba ◽  
Samir Bourekkache ◽  
Mounia Abik
Keyword(s):  
Sentiment Analysis ◽  
Online Courses ◽  
Dropout Rate ◽  
Massive Open Online Courses ◽  
Dropping Out ◽  
Bayesian Neural Network ◽  
Massive Open Online ◽  
Collaborative Tools ◽  
Novel Approach ◽  
Analysis Task

Massive Open Online Courses (MOOCs) are increasingly used by learn-ers to acquire knowledge and develop new skills. MOOCs provide a trove of data that can be leveraged to better assist learners, including behavioral data from built-in collaborative tools such as discussion boards and course wikis. Data tracing social interactions among learners are especially inter-esting as their analyses help improve MOOCs’ effectiveness. We particular-ly perform sentiment analysis on such data to predict learners at risk of dropping out, measure the success of the MOOC, and personalize the MOOC according to a learner’s behavior and detected emotions. In this pa-per, we propose a novel approach to sentiment analysis that combines the advantages of the deep learning architectures CNN and LSTM. To avoid highly uncertain predictions, we utilize a Bayesian neural network (BNN) model to quantify uncertainty within the sentiment analysis task. Our em-pirical results indicate that: 1) The Bayesian CNN-LSTM model provides interesting performance compared to other models (CNN-LSTM, CNN, LSTM) in terms of accuracy, precision, recall, and F1-Score; and 2) there is a high correlation between the sentiment in forum posts and the dropout rate in MOOCs.

scholarly journals The Effect of Non-Monetary Rewards on Employee Performance in Massive Open Online Courses

2020 ◽  
Vol 15 (01) ◽  
pp. 88 ◽  
Author(s):  
Pradorn Sureephong ◽  
Winai Dahlan ◽  
Suepphong Chernbumroong ◽  
Yootthapong Tongpaeng
Keyword(s):  
Online Courses ◽  
Positive Impact ◽  
Employee Performance ◽  
Online Training ◽  
Employee Motivation ◽  
Dropout Rate ◽  
Massive Open Online Courses ◽  
Science Center ◽  
Massive Open Online ◽  
Monetary Rewards

A challenge for organizations is to increase employee performance and motivation, since the most crucial asset of every organization is manpower. Many companies and factories have started implementing online training platforms under the concept of “Massive Open Online Courses (MOOCs)” in their workplace to foster employee performance. Previously, the mobile application called “HSC MOOC” which is provided by the Halal Science Center, Chulalongkorn Univer-sity, Thailand functioned as a solution that encourages self-learning on online platforms at companies in Thailand. However, the main barrier or risk that occurs when implementing an online platform is the user’s motivation, since the dropout rate is considered as a serious issue regarding MOOCs. Thus, incentive and re-ward were added to online training programs which aimed to motivate employees. Many types of rewards were provided for employees who had met their own company’s expectations. Recently, psychology research papers have illustrated that non-monetary rewards seem to provide greater results on the side of employee’s motivation. However, not all types of non-monetary rewards provide positive impact on employee’s motivation. Therefore, the aim of this research is to present the effect of different non-monetary rewards on employee performance. Ninety volunteer employees from a food manufacturing company in Chiang Mai, Thailand participated in this research. The experiment was divided into two sections. The first section aimed to measure the motivation of employees which based on different non-monetary rewards. The questionnaire for measuring Valence, Instrumentality, and Expectancy variables (VIE theory) was deployed to test employee motivation in 3 different groups; “Tangible Non-Monetary Re-wards”, “Social Non-Monetary Rewards” and “Job Related Non-Monetary Re-wards”. The test consisted of 10 items using a 5-point Likert scale. The second experiment aimed to reveal which type of non-monetary reward is the most suitable for motivating employees in participating and completing the course in MOOCs. Participants in different groups were assigned to learn via MOOCs on their mobile device within a period of 30 days. Different types of non-monetary rewards were provided only for participants who had completed certain conditions in MOOCs. The overall results showed that the group of tangible non-monetary rewards reached the significant highest score on the VIE questionnaire and over 60% of participants exposed to tangible non-monetary rewards completed the course’s conditions in MOOCs.

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