Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Kewarganegaraan
Shofi Nurul Fath
Universitas Negeri Yogyakarta
Education Social Sciences Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
NLP-Based Personalized Feedback in Education: A Systematic Review of Sentiment Analysis and Civic Disposition Shofi Nurul Fath; Taat Wulandari; Shara Rafiqa Nurulcholillah Sukri
Jurnal Kewarganegaraan Vol 10 No 1 (2026): Juni 2026
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v10i1.9831

Abstract

This study aims to examine the development of Natural Language Processing (NLP) in education, particularly in sentiment analysis and personalized feedback, as well as its relevance to strengthening students’ civic disposition. The research employed a qualitative approach using the Systematic Literature Review (SLR) method with PRISMA guidelines. Data were collected from Scopus, ScienceDirect, ERIC, and Google Scholar databases covering publications from 2021–2025. The findings indicate that NLP has been widely used to analyze students’ emotions, learning engagement, and adaptive feedback systems in digital learning environments. However, most studies still focus on academic and emotional dimensions, while the integration of NLP with civic disposition remains limited. This study concludes that NLP has significant potential to support more humanistic, adaptive, and civic-oriented learning through reflective feedback systems that encourage empathy, tolerance, and democratic participation among students.
Co-Authors Shara Rafiqa Nurulcholillah Sukri Taat Wulandari