Sentiment analysis in education research
A review of journal publications
Bibliographic Data
| ID | 21631782 |
|---|---|
| Authors | Jin Zhou (0000-0002-8607-8268, Central China Normal University, corresponding author), Jun-min Ye (Central China Normal University) |
| Year | 2023 |
| Volume | 31 |
| Issue | 3 |
| Pages | 1252-1264 |
| Publication date | 2023-04-03 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Interactive Learning Environments (JOURNAL) |
| Journal identifiers | ISSN: 1049-4820 • E-ISSN: 1744-5191 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10494820.2020.1826985 |
| OpenAlex | W3089867263 |
| Language | EN |
| Citations received | 23 |
| References cited | 51 |
Sentiment analysis (SA) is widespread across all fields and has become one of the most active topics in education research, and there is a growing body of papers published. So far, however, there has been little discussion about comprehensive literature reviews in SA in education. Therefore, this study aims to review the high-qualified scientific literature of SA in education and reveals the future research prospects of SA based on the reviewed papers. After systematically searching five online bibliographic databases, 41 relevant articles were located and included in the study. Results show that most studies focus on higher education, and more studies adopt smaller datasets. SA is actively employed in the learning domain of engineering and technology, and teachers/educators are the primary stakeholders considered of studies. Further, utilizing hybrid approaches for SA research is predominant, more studies have refined the granularity of sentiment categories in education. Finally, four major SA research topics, including designing SA methods/systems, investigating learners’ satisfaction/attitude/concerned topics, evaluating teachers’ teaching performance as well as examining the relationship among sentiment, behavior, performance, and achievement, were identified and discussed deeply. Accordingly, several implications and research issues for SA in education research are provided
Data science · Educational research · Higher education · Mathematics education · Political science · Sentiment analysis · Advanced Text Analysis Techniques · Computer Science · Online Learning and Analytics · Psychology · Sentiment Analysis and Opinion Mining · Artificial Intelligence
E-Learning Courses Evaluation on the Basis of Trainees’ Feedback on Open Questions Text Analysis
Exploring the relationship between learning sentiments and cognitive processing in online collaborative learning
Automated detection of emotional and cognitive engagement in Mooc discussions to predict learning achievement
Using Opinion Mining as an educational analytic
Network-based sentiment analysis
Learning engagement in massive open online courses
Emotions Matter
Emotion dynamics in online learning communities
Emotional artificial intelligence in higher education
Sentiment-aware NLP in reflective writing
Educational chatbot research
Are students happier the more they learn? – Research on the influence of course progress on academic emotion in online learning
Analyzing the discourse on open educational resources on Twitter
Students’ preferences with university teaching practices
How do teachers engaging messages affect students? A sentiment analysis
Understanding Government-Funded Doctoral Students’ Non-Degree International Exchange Experiences
Student evaluations of teaching
Measuring teacher emotional language valence via sentiment analysis
Graduates’ responses to student loan debt in England
Boredom in the classroom
Women are too easily offended, but robots aren't
EFL university students’ emotional engagement in AI ‐mediated learning contexts
Is it in their words? Teachers' enthusiasm and their natural language in class-A sentiment analysis approach
| Unique citing works | 23 |
|---|---|
| Citations per year | 4,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 19 |