scholarly journals Challenges to Teaching and Learning Using MOOC

2020 ◽  
Author(s):  
Aixa Hafsha

The Malaysian Education Development Plan (PPPM) 2015-2025 (Higher Education) strongly emphasizes the use of information technology and the transformation of the delivery of teaching and learning processes (T & L). The plan places the ninth shift in the global online learning which is intended to transform the education system by leveraging information technology in improving the quality of learning in Malaysia. This is in line with Education 4.0 which highlights the 21st century skills that are so important to be applied in education. Massive Open Online Courses (MOOCs) are a platform introduced as a new approach to the T & L process. Although MOOCs have been found to improve teaching and increase student engagement, many previous studies have shown that students’ readiness to use MOOCs is still at a moderate level. Therefore, this study was conducted to identify the major barriers to the use of MOOCs at one polytechnic in the Southern Zone. This quantitative study was conducted by administering the questionnaire to 213 students for feedback. Data were collected using a 1 to 5 Likert scale and analyzed using Statistical Package For Social Science (SPSS) by measuring the frequency and percentages. The alpha value of the questionnaire was, α = 0.887. The findings showed that internet/Wi-Fi coverage sources are a major obstacle to using MOOCs within the classroom even though students are committed and motivated towards using MOOCs.

10.32698/0281 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 42
Author(s):  
Norfarahi Zulkifli Zulkifli ◽  
Fathilah Begum Mohamed Maidin ◽  
Adilah Hafizah Abd Halim ◽  
Ummul Hafizah Ali ◽  
Hajaratul Adhwa' Ahmad Kuthi

Malaysia Education Blueprint 2015-2025 (Higher Education) emphasizes on the usage of information technology and transformation in teaching and learning process. The 9th shift from the blueprint; globalised online learning is to transform the education system and uses information technologies to enhance the learning quality in Malaysia. This suits the Education 4.0 where 21st century skills are important to be applied in education. Massive Open Online Courses (MOOC) is one platform that has been introduced as a new approach in teaching and learning process. This quantitative study aims to look at students’ readiness in using MOOC in their teaching and learning process. To serve this purpose, a questionnaire was administered to 213 students at one polytechnic in the Southern Zone. Data were measured using Likert Scale of 1-5 and analysed using Statistical Package for Social Science (SPSS). Descriptive statistics using mean were reported to describe the students’ readiness. The findings show that the level of readiness for students to use MOOC is in the highest level with the overall mean of 4.0238.  Results express that students are ready to use MOOC in their teaching and learning.


Author(s):  
Clare Lade ◽  
Paul Strickland ◽  
Elspeth Frew ◽  
Paul Willard ◽  
Sandra Cherro Osorio ◽  
...  

This chapter examines the ways in which teaching and training in tourism, hospitality and events have evolved and adapted to the contemporary demands of academia and industry. It explores the development of education in tourism, hospitality and events, the contemporary factors which influence teaching and learning, and discusses the rise of Massive Open Online Courses with a particular focus on their potential application within tourism, hospitality and events curriculum. The chapter concludes by providing an overview of Open Badges and their importance in education. At the time of writing, the world has been confronted by the Covid-19 global pandemic which has caused great disruption at all levels. The impact of Covid-19 is briefly addressed in this chapter as the enforcement of social distancing measures has led to a significant increase globally in online education.


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):  
Asma Boudria ◽  
Yacine Lafifi ◽  
Yamina Bordjiba

The free nature and open access courses in the Massive Open Online Courses (MOOC) allow the facilities of disseminating information for a large number of participants. However, the “massive” propriety can generate many pedagogical problems, such as the assessment of learners, which is considered as the major difficulty facing in the MOOC. In fact, the immense number of learners who exceeded in some MOOC the hundreds of thousands make the instructors' evaluation of students' production quite impossible. In this work, the authors present a new approach for assessing the learners' production in MOOC. This approach combines the peer assessment with the collaborative learning and the calibrated method. It aims at increasing the degree of trust in peer-assessment. For evaluating the proposed approach, the authors implemented a MOOC dedicated for learning algorithms. In addition, an experiment was conducted during two months for knowing the effects of the proposed approach. The obtained results are presented in this paper. They are judged as very interesting and encouraging.


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.


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.


Sign in / Sign up

Export Citation Format

Share Document