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LMOOC research 2014 to 2021: What have we done and where are we going next?

Published online by Cambridge University Press:  04 January 2023

Yining Zhang
Affiliation:
Tsinghua University, China (yiningzhang@tsinghua.edu.cn)
Ruoxi Sun
Affiliation:
Tsinghua University, China (srx20@mails.tsinghua.edu.cn)
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Abstract

This study reviews 71 high-quality studies of massive open online courses focused on languages (LMOOCs) that were published from the inception of LMOOCs to 2021. The purpose of this study is to gain a deeper understanding of the current state of research and identify fruitful directions for future LMOOC research. First, we reviewed three basic sets of characteristics of these studies: (1) research trends – for example, publication types and years; (2) research contexts – for example, countries in which the studies were conducted, the subjects’ target languages, language-ability levels, skills, and whether the focal courses are for specific purposes; and (3) research design, including data collection, data analysis, and theoretical frameworks. We then utilized a text-mining approach called Latent Dirichlet Allocation that uses machine-learning techniques to identify research-topic commonalities underlying the collected studies. In this way, a total of nine topics were identified. They were: (1) core elements of LMOOCs; (2) interaction and communication in LMOOCs; (3) innovative LMOOC teaching practices; (4) LMOOC standards and quality assurance; (5) LMOOC implementation, participation, and completion; (6) LMOOC teaching plans; (7) LMOOC learning effectiveness and its drivers/obstacles; (8) learners and learning in LMOOCs; and (9) inclusiveness in LMOOCs. These were then diagrammed as a ThemeRiver, which showed the evolutionary trend of the nine identified topics. Specifically, scholarly interest in Topics 5, 7, and 9 increased over time, whereas for Topics 1 and 6, it decreased. Based on our results, we highlighted specific directions for future LMOOC research on each of the identified research topics.

Information

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of EUROCALL, the European Association for Computer-Assisted Language Learning
Figure 0

Table 1. Journals that published at least two high-quality language massive open online course (LMOOC) studies, 2014–2021

Figure 1

Figure 1. Number of collected language massive open online course (LMOOC) studies by year and publication venue

Figure 2

Figure 2. UMass coherence values at 20, 40 and 80 iterations

Figure 3

Table 2. Topic categories and keywords of the sampled language massive open online course (LMOOC) literature that emerged from Latent Dirichlet Allocation

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Figure 3. Changes in topic intensity, 2014–2021, of the nine research topics identified via Latent Dirichlet AllocationNote. None of the 71 collected studies were published in 2015.

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Zhang and Sun supplementary material

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