Proceedings of the 2nd Ibn Khaldun International Conference on Applied and Social Sciences (IICASS 2024)

AI as a Personalized Tutor: The Effectiveness of AI-Based Writing Training Models in Enhancing Santri Writing Skills

Authors
Endin Mujahidin1, Novita Br Ginting1, Siti Nurjanah2, Tohir Solehudin1, *, Haya Najma Husniyyah1, Rizky Tri Mardiansyahf1
1Ibn Khaldun University, Bogor, Indonesia
2IPB University, Bogor, Indonesia
*Corresponding author. Email: tohir@uika-bogor.ac.id
Corresponding Author
Tohir Solehudin
Available Online 5 November 2024.
DOI
10.2991/978-2-38476-299-6_8How to use a DOI?
Keywords
Artificial Intelligence; Tutor; Scientific Writing; Santri
Abstract

This research investigates the effectiveness of using artificial intelligence (AI) as a personalized tutor in improving the scientific writing skills of santri. By utilizing AI-based writing training models, this study aims to evaluate its impact on the quality of writing, understanding of structure, and analytical skills of the santri. A quantitative approach was used involving 35 As Salaam santri. This research examines the development and implementation of two AI-based tutor models aimed at improving the academic writing skills of santri (Islamic boarding school students). Book 1 emphasizes scientific writing structures, reference management with Mendeley, and statistical analysis using IBM SPSS, while Book 2 introduces AI tools like ChatGPT, Grammarly, and Quillbot for research and literature searches. Survey results indicate that while santri possess a strong understanding of writing structures, there are significant gaps in their knowledge of AI applications, citation management, and journal selection. A critical analysis highlights the importance of balancing AI use with critical thinking to avoid over-reliance on technology. The recommendation includes creating tailored versions of the module to suit varying skill levels and conducting regular evaluations to ensure its relevance. The pilot study suggests that AI integration can enhance writing efficiency, but must be managed to promote independent analytical thinking. This research contributes to the growing exploration of AI in education, offering innovative pathways for enhancing academic writing instruction.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2nd Ibn Khaldun International Conference on Applied and Social Sciences (IICASS 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
5 November 2024
ISBN
978-2-38476-299
ISSN
2352-5398
DOI
10.2991/978-2-38476-299-6_8How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Endin Mujahidin
AU  - Novita Br Ginting
AU  - Siti Nurjanah
AU  - Tohir Solehudin
AU  - Haya Najma Husniyyah
AU  - Rizky Tri Mardiansyahf
PY  - 2024
DA  - 2024/11/05
TI  - AI as a Personalized Tutor: The Effectiveness of AI-Based Writing Training Models in Enhancing Santri Writing Skills
BT  - Proceedings of the 2nd Ibn Khaldun International Conference on Applied and Social Sciences (IICASS 2024)
PB  - Atlantis Press
SP  - 94
EP  - 110
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-299-6_8
DO  - 10.2991/978-2-38476-299-6_8
ID  - Mujahidin2024
ER  -