Investigation of social contributions of language oriented MOOC learner groups

Duru, İsmail; Sunar, Ayşe Saliha; Doğan, Gülüstan; Di̇ri̇, Banu

doi:10.1109/ubmk.2017.8093493

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…From the analysis of the selected papers, it is found that most studies classified MOOC engagement patterns, according to the learners' final performances, to Completer and Dropout [ [24] , [25] , [26] , [27] , [28] , [29] , [30] ]. Duru et al [ 31 ] specifically focused on MOOC learners with language problems, so they divided them into English as an Official and Primary Language (EOPL) , English as an Official but Not Primary Language (EONPL) and English as a Second Language (ESL) groups. By analyzing the engagement patterns of these groups, the findings indicated that language used in MOOC affected the completion rates among different groups of MOOC learners.…”

Section: Resultsmentioning

confidence: 99%

“…The MOOC is open to learners with different educational backgrounds and languages, so the demographic information of learners is always one of the most important elements that researchers have to be concerned about. Duru et al [ 31 ] specifically focused on identifying second language English speakers and grouped learners to EOPL, EONPL, and ESL. According to the research, 80% of learners who spoke English as their first language wrote comments that were longer than 200 characters.…”

Section: Discussion and Direction For Future Studiesmentioning

confidence: 99%

“…The MOOC engagement patterns classified by learner demographics were also implemented in many previous studies [ [37] , [38] , [39] ]. To identify demographic information of learners, the embedded questionnaire when registering on MOOC and machine learning techniques will be useful [ 31 ].…”

Section: Discussion and Direction For Future Studiesmentioning

confidence: 99%

See 2 more Smart Citations

Take a MOOC and then drop: A systematic review of MOOC engagement pattern and dropout factor

Huang¹,

Jew²,

Qi³

2023

Heliyon

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Section: Resultsmentioning

confidence: 99%

Section: Discussion and Direction For Future Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Take a MOOC and then drop: A systematic review of MOOC engagement pattern and dropout factor

Huang¹,

Jew²,

Qi³

2023

Heliyon

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“…In one of our previous studies [41], we conducted a narrower investigation on forum behaviours of language oriented MOOC learner groups. We found that there is a significant difference between each language group in terms of number of weekly comments and replies posted and the popularity of the comments posted across the different language groups.…”

Section: Behaviours In Discussion Forummentioning

confidence: 99%

A Case Study on English as a Second Language Speakers for Sustainable MOOC Study

et al. 2019

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Massive Open Online Courses (MOOCs) have a great potential for sustainable education. Millions of learners annually enrol on MOOCs designed to meet the needs of an increasingly diverse and international student population. Participants’ backgrounds vary by factors including age, education, location, and first language. MOOC authors address consequent needs by ensuring courses are well-organised. Learning is structured into discrete steps, prioritising clear communication; video components incorporate subtitles. Variability in participants’ language abilities inevitably create barriers to learning, a problem most extreme for those studying in a language which is not their first. This paper investigates how to identify ESL participants and how best to predict factors associated with their course completion. This study proposes a novel method for automatically categorising (English as Primary and Official Language; English as Official but not Primary Language; and English as a second Language groups) 25,598 participants studying FutureLearn “Understanding Language: Learning and Teaching” MOOC using natural language processing. We compared algorithms’ performance when extracting discernible features in participants’ engagement. Engagement in discussions at the end of the first week is one of the strongest predictive features, while overall, learner behaviours in the first two weeks were identified as the most strongly predictive feature.

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Investigation of social contributions of language oriented MOOC learner groups

Cited by 2 publications

References 6 publications

Take a MOOC and then drop: A systematic review of MOOC engagement pattern and dropout factor

Take a MOOC and then drop: A systematic review of MOOC engagement pattern and dropout factor

A Case Study on English as a Second Language Speakers for Sustainable MOOC Study

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