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High-quality vs low-quality teaching: A text-mining study to understand student sentiments in public online teaching reviews
Journal of International Education in Business Pub Date : 2020-03-13 , DOI: 10.1108/jieb-01-2020-0007
Shih Yung Chou , Jiaxi Luo , Charles Ramser

Purpose

The purpose of this study is to examine student sentiments regarding high-quality vs low-quality teaching.

Design/methodology/approach

This study uses a text mining technique to identify the positive and negative patterns of student sentiments from student evaluations of teaching (SET) provided on Ratemyprofessors.com. After identifying the key positive and negative sentiments, this study performs generalized linear regressions and calculates cumulative logits to analyze the impact of key sentiments on high- and low-quality teaching.

Findings

Results from 6,705 SET provided on Ratemyprofessors.com indicated that students express different sets of sentiments regarding high- vs low-quality teaching. In particular, the authors found positive sentiments such as passionate, straightforward, accessible, hilarious, sweet, inspiring and clear to be predictive of high-quality teaching. Additionally, negative sentiments such as disorganized, rude, difficult, confusing and boring were significantly related to low-quality teaching.

Originality/value

This study is one of the first few studies confirming that high- and low-quality teaching are not completely opposite to each other from the student’s perspective. That is, the presence of high-quality teaching does not necessarily mean the absence of low-quality teaching. As such, this study provides an important theoretical base for future researchers who wish to explore approaches for improving faculty teaching in the higher education setting. Additionally, this study offers educators some recommendations that may help students experience positive sentiments while minimizing negative sentiments.



中文翻译:

高质量与低质量教学:一项文本挖掘研究,旨在了解公共在线教学评论中的学生情绪

目的

这项研究的目的是研究有关高质量教学与低质量教学的学生情绪。

设计/方法/方法

这项研究使用文本挖掘技术,根据Ratemyprofessors.com提供的学生对教学的评估(SET),确定学生情绪的积极和消极模式。在确定了关键情绪的积极和消极情绪之后,本研究进行了广义线性回归并计算了累积对数,以分析关键情绪对高质量和低质量教学的影响。

发现

Ratemyprofessors.com上提供的6,705个SET的结果表明,学生对高品质和低品质的教学表达了不同的看法。特别是,作者发现积极的情绪,如热情,直率,容易接近,热闹,甜蜜,鼓舞人心和清晰,可以预示高质量的教学。另外,消极的情绪,如混乱,粗鲁,困难,困惑和无聊,与低质量的教学密切相关。

创意/价值

这项研究是最早的研究之一,证实从学生的观点来看,高品质和低品质的教学并不完全相反。也就是说,高质量教学的存在并不一定意味着不存在低质量教学。因此,本研究为将来的研究者提供了重要的理论基础,他们希望探索在高等教育环境中改善教师教学的方法。此外,这项研究为教育工作者提供了一些建议,可以帮助学生体验积极情绪,同时最大程度地减少消极情绪。

更新日期:2020-03-13
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