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 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>

Auto Grouping and Peer Grading System in Massive Open Online Course (MOOC)

2015 ◽  
Vol 13 (3) ◽  
pp. 25-43 ◽  
Author(s):  
Yi Chiou ◽  
Timothy K. Shih
Keyword(s):  
Flipped Classroom ◽  
Online Courses ◽  
Peer Assessment ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Massive Open Online ◽  
Course Materials ◽  
Massive Open Online Course ◽  
Learning Platform ◽  
E Learning

E-learning is a progressive way of learning through online courses. Instructors pass information to learners via context and videos embedded in active webpages, so that learners intake knowledge of what they need. Now e-learning is not simply providing course materials, while the trend of Massive Open Online Courses (MOOCs) is recently applied widely, the concept of flipped classroom is well deployed everywhere. Courses are designed more practical, suitable, and problem-solving inclined. By this way, learners' learning effectiveness and learning motivation are triggered. In this research, the authors will develop an online learning platform and improve the existing methods of peer grouping and peer assessment, to promote the concept of MOOCs.

Valor dos massive open online course (MOOC) na educação para a cidadania

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Hermano Carmo ◽  
Teresa Maia e Carmo
Keyword(s):  
Online Courses ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Massive Open Online ◽  
Massive Open Online Course ◽  
Tecnología Educativa

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

scholarly journals A Semantic Recommendation System for Learning Personalization in Massive Open Online Courses

2020 ◽  
Vol 8 (1) ◽  
pp. 71
Author(s):  
Sara Assami ◽  
Najima Daoudi ◽  
Rachida Ajhoun
Keyword(s):  
Recommendation System ◽  
Online Courses ◽  
Learning Technologies ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Learning Context ◽  
Massive Open Online ◽  
New Era ◽  
Learner Model ◽  
Massive Open Online Course

<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>

Understanding learner participation at scale: How and why

2020 ◽  
Vol 17 (3) ◽  
pp. 236-252
Author(s):  
Samaa Haniya ◽  
Luc Paquette
Keyword(s):  
Teaching And Learning ◽  
Large Scale ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Massive Open Online ◽  
Learner Participation ◽  
Massive Open Online Course ◽  
Motivation For Learning ◽  
E Learning

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.

scholarly journals Malaysian Learners’ Preferences-Based Profile Model Towards Adaptive Massive Open Online Courses

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Mohammed A. Gharawi ◽  
Azman Bidin ◽  
Koo Ah Choo
Keyword(s):  
Online Education ◽  
Learning Style ◽  
Quantitative Research ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Massive Open Online ◽  
Quantitative Research Methods ◽  
Non Profit ◽  
Massive Open Online Course

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.

Massive Open Online Courses in China

2020 ◽  
pp. 98-109
Author(s):  
Xiaobin Li
Keyword(s):  
Online Education ◽  
Online Courses ◽  
Chinese Literature ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Massive Open Online ◽  
Massive Open Online Course ◽  
Challenges And Opportunities ◽  
E Learning

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.

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

2015 ◽  
Vol 16 (3) ◽  
Author(s):  
Katy Jordan
Keyword(s):  
Online Courses ◽  
Course Completion ◽  
Massive Open Online Courses ◽  
Online Course ◽  
Completion Rates ◽  
Massive Open Online ◽  
Attrition Rates ◽  
Start Date ◽  
Massive Open Online Course ◽  
Course Length

<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>

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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