Sentiment analysis of student feedback: A comparative study employing lexicon and machine learning techniques

IF 2.6 2区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Studies in Educational Evaluation Pub Date : 2024-10-02 DOI:10.1016/j.stueduc.2024.101406

Charalampos Dervenis , Giannis Kanakis , Panos Fitsilis

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引用次数: 0

Abstract

One of the most pressing concerns in contemporary education examines the integration of big data and artificial intelligence methodologies to enhance the educational learning outcome. Towards that purpose, it is imperative to leverage the unstructured data originating from student feedback, particularly in the form of comments to open-ended questions aiming to extract emotions and opinions conveyed within their messages. Our research goal is to ascertain the most efficient approach to tackle this difficult task by conducting a comparison of sentiment analysis methods, including Machine Learning (ML) and Lexicon based models. Both lexicon based and machine learning approaches were implemented using an open source data mining platform while also utilizing student comments submitted at the end of academic semesters. Our study reveals a promising approach that effectively addresses the issue at hand, particularly within the domain of educational data. Additionally, it emphasizes the key aspects that led to the selection of this approach effectively highlighting the weaknesses and strengths inherent in each method

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学生反馈的情感分析：采用词典和机器学习技术的比较研究

当代教育最紧迫的问题之一是研究如何整合大数据和人工智能方法，以提高教育学习成果。为此，当务之急是利用源自学生反馈的非结构化数据，特别是以对开放式问题的评论为形式的数据，以提取其信息中传达的情感和观点。我们的研究目标是通过比较情感分析方法，包括机器学习（ML）和基于词典的模型，确定解决这一难题的最有效方法。基于词典的方法和机器学习方法都是通过一个开源数据挖掘平台实现的，同时还利用了学生在学期末提交的评论。我们的研究揭示了一种很有前途的方法，它能有效解决手头的问题，尤其是在教育数据领域。此外，它还强调了导致选择这种方法的关键方面，有效地突出了每种方法固有的缺点和优点

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来源期刊

Studies in Educational Evaluation Multiple-

CiteScore

6.90

自引率

6.50%

发文量

审稿时长

62 days

期刊介绍： Studies in Educational Evaluation publishes original reports of evaluation studies. Four types of articles are published by the journal: (a) Empirical evaluation studies representing evaluation practice in educational systems around the world; (b) Theoretical reflections and empirical studies related to issues involved in the evaluation of educational programs, educational institutions, educational personnel and student assessment; (c) Articles summarizing the state-of-the-art concerning specific topics in evaluation in general or in a particular country or group of countries; (d) Book reviews and brief abstracts of evaluation studies.