@inproceedings{f5e6e904cc2f4e59bb2ea1b6891f5e74,
title = "Ask4Summary Automatically Responds Student's Question with a Summary Assembled from Course Content",
abstract = "This work-in-progress paper presents a Moodle plugin that parses a Moodle course's text-based learning materials in various format (e.g., Microsoft Word DOCX file, Microsoft PowerPoint PPTX file, PDF file, web pages in HTML form) as well as a student's question posted on a discussion forum on Moodle with Natural Language Processing techniques (e.g., n-gram model) and search engine similarity calculation method (i.e., Cosine Similarity). The Ask4Summary acts like an online tutor can automatically answers a student's question with a summary assembled via matching and retrieving from the stored information. The research team has also planned an evaluation on using the Ask4Summary in a graduate level academic writing in English course and explained its details at the end of this paper. Last but not the least, the Ask4Summary could be an online representative not only for online learning but is also capable of helping users on their questions regarding products, healthcare, etc. if there are correspondent text-based materials existing for Ask4Summary to read in advance.",
keywords = "Cosine Similarity, Discussion Forum, Language Learning, Moodle, N-gram, Plug-in",
author = "Mohammed Saleh and Maiga Chang and Iriarte, {Maria F.}",
note = "Publisher Copyright: {\textcopyright} ICCE 2022.All rights reserved.; 30th International Conference on Computers in Education Conference, ICCE 2022 ; Conference date: 28-11-2022 Through 02-12-2022",
year = "2022",
month = nov,
day = "28",
language = "English",
series = "30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings",
pages = "413--418",
editor = "Sridhar Iyer and Ju-Ling Shih and Ju-Ling Shih and Weiqin Chen and Weiqin Chen and Khambari, {Mas Nida MD} and {Abdul Aziz}, {Nor Azni} and Maiga Chang and Anita Diwakar and How, {Shwu Pyng} and Bo Jiang and Atima Kaewsa-Ard and Kim, {Mi Song} and Chiu-Lin Lai and Lee, {Vwen Yen Awyln} and Liu, {Lydia Yan} and Hiroaki Ogata and Omar, {Muhd Khaizer} and Hang Shu and Yanjie Song and Wen Yun",
booktitle = "30th International Conference on Computers in Education Conference, ICCE 2022 - Proceedings",
}