Developing the teaching Arabic rhetoric: A comparative analysis of artificial intelligence and traditional hermeneutical approaches

Arabic rhetoric has traditionally relied on ancient texts and human interpretation for teaching purposes. The study investigates ChatGPT’s ability to analyze and interpret Arabic rhetorical devices, specifically examining its capacity to handle cultural and contextual elements in rhetorical analysis. Drawing on institutional implementation frameworks and recent educational technology research, this study examines policy considerations for Arabic rhetoric education in an AI-driven environment, with a particular focus on sustainable digital infrastructure development and systematic reforms needed to support AI integration. The study employed the comparative approach to analyze eight rhetorical examples, including metaphors (“Zaid is a lion”), similes (“Someone is a sea”), and metonymy (“A person full of ash”), then compare ChatGPT’s interpretations with traditional explanations from classical Arabic rhetoric texts, particularly “Dala’il al-I’jaaz” by al-Jurjani. The results demonstrate that ChatGPT can provide basic interpretations of simple rhetorical devices, but it struggles with understanding cultural contexts and multiple layers of meaning inherent in Arabic rhetoric. The findings indicate that AI tools, despite their potential for modernizing rhetoric education, currently serve best as supplementary teaching aids rather than replacements for traditional interpretative methods in Arabic rhetoric instruction.

Authors

Institutions

Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-12-10
DOI
https://doi.org/10.24294/jipd9925
Citations
1
Primary Topic
Education and Islamic Studies
Type
article
Field-Weighted Citation Impact
2.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing the teaching Arabic rhetoric: A comparative analysis of artificial intelligence and traditional hermeneutical approaches

Moza H. Al Kaabi, Lutfi Omar Abubkr, Sellami Abdeddayem, Nabeeha Bin Haidara et al.
1 citations
Journal of Infrastructure Policy and Development
Education and Islamic Studies
2.10
article

Developing the teaching Arabic rhetoric: A comparative analysis of artificial intelligence and traditional hermeneutical approaches

Moza H. Al Kaabi, Lutfi Omar Abubkr, Sellami Abdeddayem, Nabeeha Bin Haidara, Hayam Almaamari
article en
1 citations

Abstract

Arabic rhetoric has traditionally relied on ancient texts and human interpretation for teaching purposes. The study investigates ChatGPT’s ability to analyze and interpret Arabic rhetorical devices, specifically examining its capacity to handle cultural and contextual elements in rhetorical analysis. Drawing on institutional implementation frameworks and recent educational technology research, this study examines policy considerations for Arabic rhetoric education in an AI-driven environment, with a particular focus on sustainable digital infrastructure development and systematic reforms needed to support AI integration. The study employed the comparative approach to analyze eight rhetorical examples, including metaphors (“Zaid is a lion”), similes (“Someone is a sea”), and metonymy (“A person full of ash”), then compare ChatGPT’s interpretations with traditional explanations from classical Arabic rhetoric texts, particularly “Dala’il al-I’jaaz” by al-Jurjani. The results demonstrate that ChatGPT can provide basic interpretations of simple rhetorical devices, but it struggles with understanding cultural contexts and multiple layers of meaning inherent in Arabic rhetoric. The findings indicate that AI tools, despite their potential for modernizing rhetoric education, currently serve best as supplementary teaching aids rather than replacements for traditional interpretative methods in Arabic rhetoric instruction.

Journal of Infrastructure Policy and DevelopmentVol. 8(15)
Zayed University (AE)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Education and Islamic Studies
2.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Developing the teaching Arabic rhetoric: A comparative analysis of artificial intelligence and traditional hermeneutical approaches — Moza H. Al Kaabi, Lutfi Omar Abubkr, et al. · Journal of Infrastructure Policy and Development (2024) | TGRS Research Map | TGRS