Predict Student Score using Text Mining in English for Librarian Course

Febrianti Widyahastuti, Febrianti Widyahastuti, Viany Utami Tjhin

2018

Abstract

As we know that most information contain text document, studying such issue are promising research areas because many documents need deep learning to discovery new phenomena. This paper aims to identify and discover new knowledge through analysis of text extraction in online discussion forum that capable to predict students’ performance by applying text mining from an undergraduate English for Librarians course for one semester in Open University, Indonesia. The result of prediction model in this research can be integrated with the current conventional evaluation process. Additionally, prediction approach can give the best practice that the evaluation method can be predicted using text mining in online discussion forum. In this research, there are two approaches used to predict students’ performance: first, incorporating learning material documents and each students’ response every week. In this case, algorithm using TF-IDF approach is used to leverage the information from students’ response and learning materials about how often words occur in both documents. Second, classifying terms into three categories: students’ answer text related to learning material, English meaningful text related to learning material and Indonesian meaningful text related to learning material. The correlation result shows that English meaningful text related to learning material have strong relationship with students’ performance.

Paper Citation

in Harvard Style

Widyahastuti F. and Tjhin V. (2018). Predict Student Score using Text Mining in English for Librarian Course. In Proceedings of the Borneo International Conference on Education and Social Sciences - Volume 1: BICESS, ISBN 978-989-758-470-1, pages 83-89. DOI: 10.5220/0009016900002297

in Bibtex Style

@conference{bicess18,
author={Febrianti Widyahastuti and Viany Utami Tjhin},
title={Predict Student Score using Text Mining in English for Librarian Course},
booktitle={Proceedings of the Borneo International Conference on Education and Social Sciences - Volume 1: BICESS,},
year={2018},
pages={83-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009016900002297},
isbn={978-989-758-470-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the Borneo International Conference on Education and Social Sciences - Volume 1: BICESS,
TI - Predict Student Score using Text Mining in English for Librarian Course
SN - 978-989-758-470-1
AU - Widyahastuti F.
AU - Tjhin V.
PY - 2018
SP - 83
EP - 89
DO - 10.5220/0009016900002297