School of Foreign Languages, Yantai University, Yantai, Shandong, China.
PLoS One. 2023 May 3;18(5):e0284463. doi: 10.1371/journal.pone.0284463. eCollection 2023.
Understanding Language Massive Online Open Courses (LMOOCs) learners' subjective evaluation is essential for language teachers to improve their instructional design, examine the teaching and learning effects, and promote course quality. The present research uses word frequency and co-occurrence analysis, comparative keyword analysis, and structural topic modeling to analyze 69,232 reviews from one Massive Online Open Courses (MOOCs) platform in China. Learners hold a strongly positive overall perception of LMOOCs. Four negative topics appear more commonly in negative reviews as compared to positive ones. Additionally, variations in negative reviews across course types are examined, indicating that learners' main concerns about high-level LMOOCs include teaching/learning problems, learner expectation, and learner attitude, whereas learners of low-level courses are more critical in the topic of scholarship ability. Our study contributes to the LMOOCs study by providing a better understanding of learners' perceptions using rigorous statistical techniques.
理解语言大规模在线开放课程（LMOOCs）学习者的主观评价对于语言教师改进教学设计、检验教学效果和提高课程质量至关重要。本研究采用词频和共现分析、对比关键词分析和结构主题建模方法，对中国一个大规模在线开放课程（MOOCs）平台上的 69232 条评论进行了分析。学习者对 LMOOCs 整体持强烈的积极态度。与积极评论相比，在负面评论中更常出现四个负面主题。此外，还对不同类型课程的负面评论进行了比较，结果表明，高级 LMOOCs 学习者主要关注教学/学习问题、学习者期望和学习者态度，而低级课程学习者更关注学术能力这一主题。本研究通过使用严格的统计技术更好地理解学习者的感知，为 LMOOCs 研究做出了贡献。
