@inproceedings{4f63da20ffbe4304a9a24fc46ca31ba0,
title = "Challenges of identifying second language english speakers in MOOCs",
abstract = "In this study, we aim to analyse English as a Second Language (ESL) and English as a First Language (EFL) MOOC participants{\textquoteright} engagements in a MOOC. We aim to find out key points which directly effect learners{\textquoteright} dropout and performance in MOOCs. We worked on a FutureLearn data which is provided by the University of Southampton. The course is Understanding Language: Learning and TeachingMOOC that was run between 2016-04-04 and 2016-05-02 is chosen for the analysis. According to the results, it is very challenging to identify who is a second language English speaker by using their location information. One of the important findings is that first language English speakers wrote longer comments. In order to identify strategies for ESL MOOC participants, which is one of the ultimate goal of our research, there is a need for much deeper analyses.",
keywords = "Dropout, Learner behaviour, MOOC, Online learning, Predictive models, Second language English speakers",
author = "Ismail Duru and Sunar, {Ayse Saliha} and Gulustan Dogan and Su White",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 5th European MOOCs Stakeholders Summit, EMOOCs 2017 ; Conference date: 22-05-2017 Through 26-05-2017",
year = "2017",
doi = "10.1007/978-3-319-59044-8_22",
language = "English",
isbn = "9783319590431",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "188--196",
editor = "{Delgado Kloos}, Carlos and Seaton, {Daniel T.} and Mar Perez-Sanagustin and Su White and Patrick Jermann",
booktitle = "Digital Education",
}