MORS: A System for Recommending OERs in a MOOC

Hajri, Hiba; Bourda, Yolaine; Popineau, Fabrice

doi:10.1109/icalt.2017.89

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…A study by Hajri et al (2017) reported that there has been a significant increase in OER content indexed by the W3C. This situation certainly illustrates that the movement of open content is very promising and has continued to develop well, but it needs to be supported by all experts and stakeholders in each field (Morris, 2011).…”

Section: Discussionmentioning

confidence: 99%

Developing Information Technology in OpenCourseWare: From Movements to Opportunities in Asia

Saripudin

Djohar

Rohendi

et al. 2020

Indonesian J. Sci. Technol

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This paper aims to summarize and analyze the Developing Information Technology in Open CourseWare (OCW) movements and new opportunities in Asia in the context of supporting the education process in higher education that is in accordance with the recent demands for graduate competency supported by IT innovation. The review method is carried out in 3 stages: searching and downloading articles, filtering and sorting, and final screening. The results of this review show that the OCW movement in Asia is growing rapidly, among others, due to IT innovation, stakeholder commitment, public awareness, and the need for quality teaching materials. In the era of web 5.0 technology, lecturers must have the competencies to develop electronic activities through the Web that make students truly active so that online learning actually takes place rather than the electronic reading process. The impact of IT innovation has brought drastic changes in the field of education in the learning process has become an effective driving tool for improving learning outcomes and achieving educational goals, one of the most recent innovations is OCW. OCW movement in Asia has progressed rapidly and significantly, although they experience transformations in accordance with technological developments and needs in the field.

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Section: Discussionmentioning

confidence: 99%

Developing Information Technology in OpenCourseWare: From Movements to Opportunities in Asia

Saripudin

Djohar

Rohendi

et al. 2020

Indonesian J. Sci. Technol

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show abstract

“…Of the studies reviewed, 21 adopted an online platform for implementation purposes (Table 9), of which [19,20,33,41,55,73,75,77,80,82,83,85,87,88,103,116] used universities/university platforms as a source of data, and [38,44,60,72,92,94,109,117] used learning platforms. Moodle was used in the case of [24,66], while four of the recommendation systems sought information from online resources, namely [47,62,84,95].…”

Section: Type Of Platform Implemented In Recommendation Systemsmentioning

confidence: 99%

Recommendation Systems for Education: Systematic Review

2021

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Recommendation systems have emerged as a response to overload in terms of increased amounts of information online, which has become a problem for users regarding the time spent on their search and the amount of information retrieved by it. In the field of recommendation systems in education, the relevance of recommended educational resources will improve the student’s learning process, and hence the importance of being able to suitably and reliably ensure relevant, useful information. The purpose of this systematic review is to analyze the work undertaken on recommendation systems that support educational practices with a view to acquiring information related to the type of education and areas dealt with, the developmental approach used, and the elements recommended, as well as being able to detect any gaps in this area for future research work. A systematic review was carried out that included 98 articles from a total of 2937 found in main databases (IEEE, ACM, Scopus and WoS), about which it was able to be established that most are geared towards recommending educational resources for users of formal education, in which the main approaches used in recommendation systems are the collaborative approach, the content-based approach, and the hybrid approach, with a tendency to use machine learning in the last two years. Finally, possible future areas of research and development in this field are presented.

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“…Moreover, Huang [74] proposed book resource recommendation system using library classification ontology based method was used to recommend books by classifying them into groups. Shaptala et al [90] proposed a MOOC based OER system (MORS) which recommended OERs to the learners by modeling the MOOC and creating process to query OERs. Faqihi et al [136] simulated need for a producer who is searching for educational resources and then used Euclidian distance to measure similarities.…”

Section: Rq1 How Many Studies Supported Their Claim With Experiments and Which Datasets Were Used In The Studies?mentioning

confidence: 99%

“…Piao and Breslin [78] used dataset collected from LinkedIn to compare different modeling techniques such as skilled based, job based and education based user modeling strategies and showed skill based modeling performs better than the other two. Shaptala et al [90] proposed a MOOC based OER system (MORS) which recommended OERs to the learners by modeling the MOOC and created process to query OERs. Assami et al [107] highlighted seven main criteria that represent learner's choice and source of motivation that can be used in a suggested recommendation model.…”

Section: Knowledge-based Filtering (Kbf)mentioning

confidence: 99%

A Systematic Mapping Review on MOOC Recommender Systems

et al. 2021

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Online learning environments (OLE) are gaining popularity, including learning management systems (LMS) and massive open online courses (MOOCs), which are the best modern alternate solutions available for education in the current era. The luxury to learn irrespective of geographical and temporal restrictions makes it an attractive resource. At the start of 2020, the global pandemic enforced social distance practice worldwide, changing the work environment dynamics, leaving the people with options like online trading, work from home, and online education. The online learning environments gained particular attention in the educational sector, where users could access the online learning resources to fulfil their academic requirements during the lockdown. From massively available content such as MOOC, the learners are overwhelmed with the available choices. In this scenario, recommender systems (RS) come to the rescue to help the learner make appropriate choices for completing the enrolled course. There is tremendous scope and a multitude of opportunities available for researchers to focus on this domain. An exhaustive analysis is required to spotlight the opportunities in this realm. Various studies have been performed to provide such solutions in multiple areas of the MOOC recommendation systems (MOOCRS) such as course recommendation, learner peer recommendation, resource recommendations, to name a few. This is a compendious study into the research conducted in this area, identifying 670 articles out of 116 selected for analysis published from 2013 to 2021. It also highlights multiple areas in MOOC, where the recommendation is required, as well as technologies used by other researchers to provide solutions over time.

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MORS: A System for Recommending OERs in a MOOC

Cited by 10 publications

References 5 publications

Developing Information Technology in OpenCourseWare: From Movements to Opportunities in Asia

Developing Information Technology in OpenCourseWare: From Movements to Opportunities in Asia

Recommendation Systems for Education: Systematic Review

A Systematic Mapping Review on MOOC Recommender Systems

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