Massive Open Online Courses in China

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.

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.


Author(s):  
Ana M. Pessoa ◽  
Luis Coelho ◽  
Ruben Fernandes

Massive Open Online Courses (MOOC) are gaining prominence in transversal teaching-learning strategies. However, there are many issues still debated, namely assessment, recognized largely as a cornerstone in Education. The large number of students involved requires a redefinition of strategies that often use approaches based on tasks or challenging projects. In these conditions and due to this approach, assessment is made through peer-reviewed assignments and quizzes online. The peer-reviewed assignments are often based upon sample answers or topics, which guide the student in the task of evaluating peers. This chapter analyzes the grading and evaluation in MOOCs, especially in science and engineering courses, within the context of education and grading methodologies and discusses possible perspectives to pursue grading quality in massive e-learning courses.


2015 ◽  
Vol 13 (3) ◽  
pp. 25-43 ◽  
Author(s):  
Yi Chiou ◽  
Timothy K. Shih

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.


2015 ◽  
Vol 13 (3) ◽  
pp. 53-60 ◽  
Author(s):  
Bo Jian ◽  
Cheng Yang

In this article, the authors provide a new approach to massive open online course: project based case learning. Although there are many online teaching websites, such as Coursera and Edx, most of the courses are video based. That is, students learn knowledge through watching lecture videos. This method may apply to theoretical subjects, but for engineering courses—since they have strong practical background—watching videos is not an effective way for these courses. In order to solve this problem, the authors offer this new approach: that is, students learn knowledge by playing as different roles and doing and concluding different tasks themselves. And all tasks form a whole project. This project based case learning method uses “learning-by-doing” as a central theme and E-learning as a carrier. Compared with video based learning, this new method is a combination of theory and practical operation that enable the students to master the knowledge in engineering subjects more thoroughly and profoundly.


EDUTECH ◽  
2016 ◽  
Vol 15 (2) ◽  
pp. 170 ◽  
Author(s):  
Hana Silvana ◽  
Yuniar Fajar

Abstract, E-learning has advantages in flexibility that allows learning to take place without the constraintsof distance and time. Massive Open Online Courses (MOOCS) allows massive access to open education thattensd to be more efficient. This research aims to find out how the analysis massive open online course (MOOCS)based e-learning system as an effort to equitable access to college level in Indonesia and how is the user profilebased on age (range from 18-30 years old). This research descriptive method and the sample consists of 30MOOCs users. MOOCS users profile indicates that this system has the potential to improve equitable access tohigher education by several indicators, namely gender equality, the majority of users have the latest educationaland vocational high school equivalent, and most have been working as an employee. As for the geographicalaspects, the results of the analysis indicate that the user is still concentrated in Java.Keywords: E-Learning, Massive Open Online Courses (MOOCS), educational equityAbstrak, E-learning memiliki kelebihan dalam fleksibilitas yang memungkinkan pembelajaran dapatberlangsung tanpa kendala jarak dan waktu. Massive open online courses (MOOCS) memungkinkan aksespendidikan terbuka yang masif dengan biaya yang cenderung lebih efisien. Penelitian ini bertujuan untukmengetahui bagaimana analisis penguna sistem e-learning berbasis massive open online course (MOOCS)sebagai upaya dalam pemerataan akses jenjang perguruan tinggi di Indonesia, bagaimana profil penggunasistem e-learning berbasis massive open online course (MOOCs) berdasarkan usia peserta perguruan tinggi(rentang usia 18-30 tahun. Profil pengguna MOOCs ini menunjukkan bahwa sistem ini berpotensi untukmeningkatkan pemerataan akses pendidikan tinggi dengan beberapa indikator, yakni kesetaraan gender,mayoritas pengguna memiliki pendidikan terakhir SMK dan SMA/sederajat dan sebagian besar sudah bekerjasebagai karyawan. Adapun untuk aspek geografis, hasil analisis terhadap pengguna masih menunjukkan bahwapengguna terkonsentrasi di Pulau Jawa.Kata Kunci : E-Learning, Massive Open Online Courses (MOOCs), pemerataan pendidikan


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):  
Whitney Kilgore ◽  
Patrick R. Lowenthal

The Human Element Massive Open Online Course (MOOC) on the Canvas open network was designed to be a connectivist experience exploring methods for the humanization of online education. This MOOC introduced and discussed methods that faculty could adopt in order to potentially increase instructor presence, social presence, and cognitive presence within their own online courses. The design of the MOOC and the learners' perceptions of social presence after taking part in this MOOC are discussed in this chapter.


2016 ◽  
pp. 1736-1755
Author(s):  
Whitney Kilgore ◽  
Patrick R. Lowenthal

The Human Element Massive Open Online Course (MOOC) on the Canvas open network was designed to be a connectivist experience exploring methods for the humanization of online education. This MOOC introduced and discussed methods that faculty could adopt in order to potentially increase instructor presence, social presence, and cognitive presence within their own online courses. The design of the MOOC and the learners' perceptions of social presence after taking part in this MOOC are discussed in this chapter.


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>


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