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.

Could massive open online courses improve health and medical education?

2018 ◽  
Vol 26 (1) ◽  
pp. 61-63 ◽  
Author(s):  
Stefanie Schütte ◽  
Sophie-Hélène Goulet-Ebongue ◽  
Khamsa Habouchi
Keyword(s):  
Medical Education ◽  
Health Care Professionals ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Special Focus ◽  
Massive Open Online ◽  
Middle Income ◽  
The Public ◽  
Middle Income Countries ◽  
Technological Advances

Abstract Technological advances during the last decade have provided novel opportunities for development of health and medical education. Education of health care professionals by massive open online courses (MOOCs) has been suggested in order to improve care and treatment of patients and the health literacy of the public. This article discusses the strengths, weaknesses, opportunities and threats of MOOCs in health and medical education by taking a special focus on low and middle-income countries.

scholarly journals E-learning Text Sentiment Classification Using Hierarchical Attention Network (HAN)

2021 ◽  
Vol 16 (13) ◽  
pp. 157
Author(s):  
Abdessamad Chanaa ◽  
Nour-eddine El Faddouli
Keyword(s):  
Online Courses ◽  
Research Field ◽  
Massive Open Online Courses ◽  
Analysis Tool ◽  
Classification Models ◽  
Discussion Forums ◽  
Hierarchical Network ◽  
Massive Open Online ◽  
Attention Network ◽  
E Learning

Massive Open Online Courses (MOOCs) have recently become a very motivating research field in education. Analyzing MOOCs discussion forums presents important issues since it can create challenges for understanding and appropriately identifying student sentiment behaviours. Using the high effectiveness of deep learning, this study aims to classify forum posts based on their sentiment polarity using two experiments. The first use the three known sentiment labels (positive/negative/neutral) and the second one employs sevens labels. The classification method implemented the Hierarchical Attention Network (HAN) algorithm; it combines the attention mechanism with a hierarchical network that simulates the same hierarchical structure of the document. The analysis of 29604 discussion posts from Stanford University affirms the effectiveness of our model. HAN achieved a classification accuracy of 70.3%, which surpassed the other prediction results using usual text classification models. These results are promising and have implications on the future development of automated sentiment analysis tool on e-learning discussion forum.

scholarly journals Types of Participant Behavior in a Massive Open Online Course

2017 ◽  
Vol 18 (6) ◽  
Author(s):  
Tali Kahan ◽  
Tal Soffer ◽  
Rafi Nachmias
Keyword(s):  
Online Courses ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Discussion Forums ◽  
Massive Open Online ◽  
Massive Open Online Course ◽  
Video Lectures ◽  
Different Types ◽  
Course Achievement ◽  
Participant Behavior

<p class="3">In recent years there has been a proliferation of massive open online courses (MOOCs), which provide unprecedented opportunities for lifelong learning. Registrants approach these courses with a variety of motivations for participation. Characterizing the different types of participation in MOOCs is fundamental in order to be able to better evaluate the phenomenon and to support MOOCs developers and instructors in devising courses which are adapted for different learners' needs. Thus, the purpose of this study was to characterize the different types of participant behavior in a MOOC. Using a data mining methodology, 21,889 participants of a MOOC were classified into clusters, based on their activity in the main learning resources of the course: video lectures, discussion forums, and assessments. Thereafter, the participants in each cluster were characterized in regard to demographics, course participation, and course achievement characteristics. Seven types of participant behavior were identified: <em>Tasters</em> (64.8%), <em>Downloaders</em> (8.5%), <em>Disengagers</em> (11.5%), <em>Offline</em> <em>Engagers</em> (3.6%), <em>Online Engagers</em> (7.4%), <em>Moderately Social Engagers</em> (3.7%), and <em>Social Engagers</em> (0.6%). A significant number of 1,020 participants were found to be engaged in the course, but did not achieve a certificate. The types are discussed according to the established research questions. The results provide further evidence regarding the utilization of the flexibility, which is offered in MOOCs, by the participants according to their needs. Furthermore, this study supports the claim that MOOCs' impact should not be evaluated solely based on certification rates but rather based on learning behaviors.</p>

scholarly journals Peer assessment for massive open online courses (MOOCs)

2014 ◽  
Vol 15 (3) ◽  
Author(s):  
Hoi K. Suen
Keyword(s):  
Formative Assessment ◽  
Online Courses ◽  
Peer Assessment ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Discussion Forums ◽  
Massive Open Online ◽  
Massive Open Online Course ◽  
Online Discussion Forums ◽  
Assessment Results

<p>The teach-learn-assess cycle in education is broken in a typical massive open online course (MOOC). Without formative assessment and feedback, MOOCs amount to information dump or broadcasting shows, not educational experiences. A number of remedies have been attempted to bring formative assessment back into MOOCs, each with its own limits and problems. The most widely applicable approach for all MOOCs to date is to use peer assessment to provide the necessary feedback. However, unmoderated peer assessment results suffer from a lack of credibility. Several methods are available today to improve on the accuracy of peer assessment results. Some combination of these methods may be necessary to make peer assessment results sufficiently accurate to be useful for formative assessment. Such results can also help to facilitate peer learning, online discussion forums, and may possibly augment summative evaluation for credentialing.</p>

scholarly journals MOOCs: a differentiation by pedagogy, content and assessment

2018 ◽  
Vol 35 (1) ◽  
pp. 2-11 ◽  
Author(s):  
Misrah Hamisah Mohamed ◽  
Michael Hammond
Keyword(s):  
Instructional Design ◽  
Design Methodology ◽  
Online Courses ◽  
Peer Assessment ◽  
Massive Open Online Courses ◽  
Discussion Forums ◽  
Massive Open Online ◽  
Content Type ◽  
Fine Grained ◽  
Course Materials

Purpose Massive open online courses (MOOCs) have often been divided between connectivist MOOCs and extended MOOCs (xMOOCs). Each form of MOOC proposes a distinctive view about knowledge acquisition. However, the breakdown between the two MOOCs is too broad in practice, and a more fine-grained approach is needed. Thus, the purpose of this paper is to describe the organisational features of exemplar MOOCs and their differences. Design/methodology/approach The study observed the ten newly available MOOCs aimed at teachers of English as a second language and included examples from existing providers: NovoEd, Coursera, FutureLearn and Canvas. These MOOCs were analysed and compared using a matrix with three main focuses: pedagogical assumptions, content materials and assessment. Findings The findings revealed that all courses corresponded to the idea of an xMOOC in that they were run on a model of instructional design. However, the course materials varied in respect to media used, use of networking, discussion forums and degree of openness. In terms of assessment, all MOOCs used formative approaches, all had automated responses but only some had summative and peer assessment. Originality/value The study succeeded in showing the variation in courses, thus enabling the range of possibilities open to course designers and providers.

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