scholarly journals Review and Taxonomy of MOOCs and the Significance of Digital Transformation of Learning in Higher Education Institutions: Prospects and Opportunities

Author(s):  
Oussama HAMAL ◽  

This paper principally seeks to examine the genesis and development of MOOCs. Recent research and ICT development efforts have strived to engineer technologies that aim at effectively facilitating and improving the quality of learning anywhere and anytie independently in a stress-free environment. It must be noted that research in open learning environments is still making baby steps and researchers have solely made preliminary initiatives to fathom out the nature and incessant chaniging dynamics of Massive Open Online Courses (MOOCs) as a topic of investigation. This interest is fuled by the fact that learning has nearly completely become digital worldwide as it were, and there for eperpetual research efforts to understand the underlying principles of MOOCs is a genuine necessity. More importantly, it has been proven in research that when computer science and education are mixed together, they seem to yield impeccable learning results. Given this, we will both chart a roadmap for the creation of a MOOC and incrementally work towards its implementation.

2017 ◽  
Vol 15 (3) ◽  
pp. 1-14 ◽  
Author(s):  
Sanya Liu ◽  
Cheng Ni ◽  
Zhi Liu ◽  
Xian Peng ◽  
Hercy N.H. Cheng

Nowadays, Massive Open Online Courses (MOOC) has obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data in education. To mine useful information from these data, we need to use educational data mining and learning analysis technique to study the learning feelings and discussed topics among learners. This paper aims to mine and analyze topic information hidden in the unstructured reviews data in MOOC, a novel author topic model based on an unsupervised learning idea is proposed to extract learning topics for the each learner. According to the experimental results, we will analyze and focuses of interests of learners, which facilitates further personalized course recommendation and improve the quality of online courses.


Author(s):  
Mohammad Khalil ◽  
Hubert Brunner ◽  
Martin Ebner

Massive Open Online Courses, shortly MOOCs, are a phenomenon nowadays. The number of courses is worldwide steadily increasing since Sebastian Thrun has offered a free online course for more than 100.000 students. Nowadays, decision makers and students as well as lecturers are asking about the quality of such courses. After a live experiment on 15 randomly chosen courses and a brief literature review, we discuss the possibility of finding an evaluation grid for xMOOCs. The finally suggested criteria can be used now for future investigations.


2015 ◽  
Vol 80 ◽  
pp. 77-83 ◽  
Author(s):  
Anoush Margaryan ◽  
Manuela Bianco ◽  
Allison Littlejohn

2021 ◽  
Author(s):  
QIU-HU DENG

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.


Author(s):  
Jan Renz ◽  
Florian Schwerer ◽  
Christoph Meinel

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>The openSAP University is a co-innovative initiative founded in 2013 by SAP SE in partnership with the Hasso-Plattner-Institute (HPI) located in Potsdam, Germany. With its new course offering, SAP responds to a rising demand for scalable knowledge transfer due to the digital transformation by making use of the Massive Open Online Courses (MOOC) format. This paper provides a brief introduction to the first Enterprise MOOC platform openSAP, including details about the learning environment and the underlying platform, different team roles and usage statistics. In addition, the topic of dropouts in enterprise MOOCs will be addressed and discussed. A standardized calculation model for enterprise MOOCs to measure completion and consumption rates is proposed. The paper closes with an outlook about the future work on enterprise MOOCs. </span></p></div></div></div>


Author(s):  
Kijpokin Kasemsap

This chapter reveals the overview of Massive Open Online Courses (MOOCs) and the implications of MOOCs in the digital age. MOOCs are the Internet-based courses which have large numbers of students involved. MOOCs have a potential for helping college students succeed and for giving a preview of a particular university's teaching style to potential applicants. MOOCs can bring students from all over the world and encourage engagement between staff and students of a given university to interact with the wider public. Offering diverse classes on different topics through MOOCs makes it easy for students to keep up with the latest trends and be on top of their professional field. The chapter argues that encouraging MOOCs has the potential to improve educational performance and gain educational goals in the modern learning environments.


ReCALL ◽  
2021 ◽  
pp. 1-16
Author(s):  
Rong Luo ◽  
Zixuan Ye

Abstract This paper focuses on quality assurance in language massive open online courses (LMOOCs). It is a qualitative study that adopts the grounded theory method and analyses evaluative comments on the quality of LMOOCs from learners’ perspectives. With the data collected from 1,000 evaluations from English as a second language (ESL) learners on China’s biggest MOOC platform “iCourse”, this study examines what has influenced learners’ perceptions of LMOOCs and identifies the specific quality criteria of five types of them, including ESL courses for speaking, reading, writing, cultural studies, and integrated skills. The results of the study will lay a foundation for the establishment of a quality criteria framework for LMOOCs and provide insights into design principles for effective online language courses tailored to the diverse needs of a massive number of language learners.


2016 ◽  
Vol 24 (3) ◽  
pp. 221-226
Author(s):  
Lorraine A. Jacques

Purpose The purpose of this paper is to share a discussion with Dr Barry Fishman, University of Michigan, concerning how to use technology to improve the learning experience of students in higher education. Design/methodology/approach This article summarizes an interview with Dr Fishman conducted in December 2015. Findings Massive open online courses, personalized learning and changes in how we assess student learning are all opportunities that Fishman believes can improve both student outcomes and intrinsic motivation. Originality/value Changes in technology can enable researchers and educators easier access to implementing various learning environments.


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