scholarly journals Massive open online course completion rates revisited: Assessment, length and attrition

Author(s):  
Katy Jordan

<p>This analysis is based upon enrolment and completion data collected for a total of 221 Massive Open Online Courses (MOOCs). It extends previously reported work (Jordan, 2014) with an expanded dataset; the original work is extended to include a multiple regression analysis of factors that affect completion rates and analysis of attrition rates during courses. Completion rates (defined as the percentage of enrolled students who completed the course) vary from 0.7% to 52.1%, with a median value of 12.6%. Since their inception, enrolments on MOOCs have fallen while completion rates have increased. Completion rates vary significantly according to course length (longer courses having lower completion rates), start date (more recent courses having higher percentage completion) and assessment type (courses using auto grading only having higher completion rates). For a sub-sample of courses where rates of active use and assessment submission across the course are available, the first and second weeks appear to be critical in achieving student engagement, after which the proportion of active students and those submitting assessments levels out, with less than 3% difference between them.</p>

Author(s):  
Hermano Carmo ◽  
Teresa Maia e Carmo

A sociedade contemporânea é marcada por três macrotendências que a identificam como uma sociedade singular na história humana: processo de mudança acelerada, desigualdade crescente e fibrilhação dos sistemas de poder. Tais tendências têm tido como efeitos um quadro de ameaças e oportunidades que tanto têm constituído gigantesco desafio aos sistemas educativos quanto configuram a urgência de ressocialização de todas as gerações vivas no sentido da construção de uma cidadania global. Nesse contexto, propõe-se um modelo que configura uma estratégia de educação para a cidadania, com dois eixos, quatro vertentes e dez áreas-chave. Seguidamente, descreve-se e discute-se a emergência quase explosiva dos Massive Open Online Courses (MOOC) a partir de instituições de ensino superior internacionalmente reconhecidas, no quadro do novo paradigma digital, sua diversidade e seu potencial ainda em aberto. Confrontando a nova abordagem educativa com o modelo de educação para a cidadania proposto, conclui-se constituir um meio robusto para o potenciar.Palavras-chave:Conjuntura. Macrotendências. Educação para a cidadania. MOOC. Tecnologia educativa. Paradigma digital.Link: http://revista.ibict.br/inclusao/article/view/4171/3642


Author(s):  
Sara Assami ◽  
Najima Daoudi ◽  
Rachida Ajhoun

<p class="0abstract">For an innovation producing education, MOOC (Massive Open Online Course) platforms offer a plethora of learning resources and pedagogical activities to support the university’s 4.0 new era and the lifelong learning movement. Nevertheless, the rapid advances in learning technologies imply the need for personalized guidance for learners and adapted learning materials. In this paper we seek to enhance the MOOC learner experience by providing a semantic recommender system for the diversity and abundance of MOOCs available for learners. Firstly, the paper analyses the state of the art of the semantic recommendation approach in a distance learning context. Then it describes the proposed MOOC recommendation system that uses the ontological representation of the learner model and MOOCs content to make its intelligent suggestions. Finally, we explore the development phases of the semantic MOOC recommendation system to define the implications for the progress of our research.</p>


Author(s):  
Katy Jordan

<p>The past two years have seen rapid development of massive open online courses (MOOCs) with the rise of a number of MOOC platforms. The scale of enrolment and participation in the earliest mainstream MOOC courses has garnered a good deal of media attention. However, data about how the enrolment and completion figures have changed since the early courses is not consistently released. This paper seeks to draw together the data that has found its way into the public domain in order to explore factors affecting enrolment and completion. The average MOOC course is found to enroll around 43,000 students, 6.5% of whom complete the course. Enrolment numbers are decreasing over time and are positively correlated with course length. Completion rates are consistent across time, university rank, and total enrolment, but negatively correlated with course length. This study provides a more detailed view of trends in enrolment and completion than was available previously, and a more accurate view of how the MOOC field is developing.</p>


2020 ◽  
Vol 17 (3) ◽  
pp. 236-252
Author(s):  
Samaa Haniya ◽  
Luc Paquette

Understanding learner participation is essential to any learning environment to enhance teaching and learning, especially in large scale digital spaces, such as massive open online courses. However, there is a lack of research to fully capture the dynamic nature of massive open online courses and the different ways learners participate in these emerging massive e-learning ecologies. To fill in the research gap, this paper attempted to investigate the relationship between how learners choose to participate in a massive open online course, their initial motivation for learning, and the barriers they faced throughout the course. This was achieved through a combination of data-driven clustering approaches—to identify patterns of learner participation—and qualitative analysis of survey data—to better understand the learners’ motivation and the barriers they faced during the course. Through this study we show how, within the context of a Coursera massive open online course offered by the University of Illinois, learners with varied patterns of participation (Advanced, Balanced, Early, Limited, and Delayed Participation) reported similar motivations and barriers, but described differences in how their participation was impacted by those factors. These findings are significant to gain insights about learners’ needs which in turn serve as the basis to innovate more adaptive and personalized learning experiences and thus advance learning in these large scale environments.


Author(s):  
Mohammed A. Gharawi ◽  
Azman Bidin ◽  
Koo Ah Choo

Massive open online courses’ technology is becoming the most recent innovations in online education and academia. Recently, it has been widely adopted in educational sectors and gained popularity among both students and instructors. Massive open online courses have rapidly become a trend in the field of higher education and received much recognition from scholars and non-profit educational organizations. Therefore, there has been a growing interest in investigating its limitations, challenges, and impact on education. Some issues and problems have been reported in the research and practice, such as problems related to massive open online course learners’ motivation and engagement during the courses, and course contents’ presentations have a significant impact on learner’s motivation. However, there have been few contributions to the literature in discerning the varying motivational drivers for choosing to consume the different presentation styles of massive open online courses. Therefore, the main goal of this work is to propose an innovative framework for adaptive massive open online course based on learners’ preferences. As such, the courses’ presentations are adapted to the preferred learning style of each learner. In this regard, this paper was conducted based on quantitative research methods.


2020 ◽  
Author(s):  
Matthew Charles Strehlow ◽  
Kelly Zhang Aluri ◽  
Jamie Sewan Johnston ◽  
Charles G Prober ◽  
Peter Corrigan Acker ◽  
...  

BACKGROUND The COVID-19 pandemic created an urgent global need for healthcare worker (HCW) training. Initial COVID-19-related online courses focused primarily on training public health workers and physicians caring for patients in intensive care units (ICUs). However, in resource-constrained settings, nurses and general practitioners are responsible for providing most COVID-19 patient medical care, typically lacking the training and equipment necessary to manage complex, critically ill patients. In these environments, early recognition and interventions to prevent patient deterioration are essential to optimizing outcomes. We developed a massive open online course (MOOC) for HCWs in resource-constrained settings aimed at training bedside providers caring for patients with COVID-19. OBJECTIVE This study evaluates the impact of this MOOC by assessing HCW course engagement, knowledge, confidence in caring for COVID-19 patients, and user experience. METHODS From May thru June of 2020, the course was rapidly developed by a team of physicians, educators, medical illustrators, and education technology staff, and was subsequently launched on two online platforms in July 2020. The approximately 4-hour course comprises 6 video-based modules with accompanying handouts. Student knowledge was assessed using pre- and post-module quizzes and a final exam, while demographics and user experience were evaluated by pre- and post-course surveys and data collected through the platforms. RESULTS From July 17th to September 24th, 30,859 students enrolled, 18,818 started, and 7,101 completed the course. Most participants worked in healthcare (86%) and resided in lower middle- (36%) or upper middle- (21%) income countries. Higher course completion rates were observed among learners who were from upper middle-income (aOR 1.152 [95% CI 1.019-1.303]) and lower middle-income countries (aOR 1.229 [95% CI 1.104-1.368]). Significant knowledge gains were observed from pre-module (mean 56% [SD 17%]) to post-module quizzes (80% [SD 15%], P<.001), and from pre-module quizzes to the final exam (78% [SD 17%], P<.001). After course completion, participants reported increased self-efficacy regarding the course objectives, with a 0.63 mean increase on a 4-point scale (95% CI [0.60,0.66]). Overall, there was high satisfaction with the course experience, with 93% of participants reporting they would recommend the course to others. CONCLUSIONS This study demonstrates the potential of MOOCs to rapidly provide access to emerging medical knowledge during a public health crisis, particularly for HCWs in high- and middle-income countries. Further research is required to understand the impact of such online courses on patient care and how to better reach learners in low-income countries.


Author(s):  
Xiaobin Li

The purpose of this chapter is to provide an overview of the literature on massive open online course (MOOC) development in China, its accompanying practices, challenges, and opportunities. The chapter also offers recommendations derived from the literature on how to make MOOCs benefit more Chinese. To conduct this study, the author reviewed Chinese literature on MOOCs since 2012, when the first five articles on MOOCs appeared in Chinese journals, which introduced concepts and practices of Western MOOCs into China. The author also reviewed well-known English journals on online education and e-learning since 2013, when the first Chinese MOOCs appeared.


Author(s):  
Tali Kahan ◽  
Tal Soffer ◽  
Rafi Nachmias

<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>


Author(s):  
Hoi K. Suen

<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>


Sign in / Sign up

Export Citation Format

Share Document