A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis

IEEE Access

Jacquie McDonald¹  Christopher Dann²  Petrea Redmond²  Thanveer Shaik³  Linda Galligan³  Xiaohui Tao³  Yan Li³ 

[1] Academic Development, University of Southern Queensland, Toowoomba, QLD, Australia;School of Education, University of Southern Queensland, Toowoomba, QLD, Australia;School of Mathematics and Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia;

关键词: Artificial Intelligence;    natural language processing;    education;    deep learning;   

DOI  :  10.1109/ACCESS.2022.3177752

来源: DOAJ

【 摘 要 】

Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many business and research domains. Machine learning, deep learning, and natural language processing (NLP) are subsets of AI to tackle different areas of data processing and modelling. This review article presents an overview of AI’s impact on education outlining with current opportunities. In the education domain, student feedback data is crucial to uncover the merits and demerits of existing services provided to students. AI can assist in identifying the areas of improvement in educational infrastructure, learning management systems, teaching practices and study environment. NLP techniques play a vital role in analyzing student feedback in textual format. This research focuses on existing NLP methodologies and applications that could be adapted to educational domain applications like sentiment annotations, entity annotations, text summarization, and topic modelling. Trends and challenges in adopting NLP in education were reviewed and explored. Context-based challenges in NLP like sarcasm, domain-specific language, ambiguity, and aspect-based sentiment analysis are explained with existing methodologies to overcome them. Research community approaches to extract the semantic meaning of emoticons and special characters in feedback which conveys user opinion and challenges in adopting NLP in education are explored.

【 授权许可】

Unknown