Arabic Chatbot Technologies in Education: An Overview

• URL: http://arxiv.org/abs/2509.04066v1
• Date: Thu, 04 Sep 2025 09:55:16 GMT
• Title: Arabic Chatbot Technologies in Education: An Overview
• Authors: Hicham Bourhil, Yacine El Younoussi,
• Abstract summary: In education, e-learning systems have been massively adopted worldwide.<n>The recent advancements in Artificial Intelligence (AI) in general, and in Natural Language Processing (NLP) in particular, have led to their implementation in different domains like education, healthcare, tourism, and customer service.<n>In this study, we present a survey on existing Arabic chatbots in education and their different characteristics such as the adopted approaches, language variety, and metrics used to measure their performance.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The recent advancements in Artificial Intelligence (AI) in general, and in Natural Language Processing (NLP) in particular, and some of its applications such as chatbots, have led to their implementation in different domains like education, healthcare, tourism, and customer service. Since the COVID-19 pandemic, there has been an increasing interest in these digital technologies to allow and enhance remote access. In education, e-learning systems have been massively adopted worldwide. The emergence of Large Language Models (LLM) such as BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformers) made chatbots even more popular. In this study, we present a survey on existing Arabic chatbots in education and their different characteristics such as the adopted approaches, language variety, and metrics used to measure their performance. We were able to identified some research gaps when we discovered that, despite the success of chatbots in other languages such as English, only a few educational Arabic chatbots used modern techniques. Finally, we discuss future directions of research in this field.

Related papers

• A Complete Survey on LLM-based AI Chatbots [46.18523139094807]
  The past few decades have witnessed an upsurge in data, forming the foundation for data-hungry, learning-based AI technology. Conversational agents, often referred to as AI chatbots, rely heavily on such data to train large language models (LLMs) and generate new content (knowledge) in response to user prompts. This paper presents a complete survey of the evolution and deployment of LLM-based chatbots in various sectors.
  arXiv  Detail & Related papers  (2024-06-17T09:39:34Z)
• Developing generative AI chatbots conceptual framework for higher education [0.0]
  This study aims to comprehend the implications of AIgeneratives on higher education and pinpoint critical elements for their efficacious implementation. The results demonstrate how much AI chatbots can do to improve student engagement, streamline the educational process, and support administrative and research duties. But there are also clear difficulties, such as unfavorable student sentiments, doubts about the veracity of material produced by AI, and unease and nervousness with new technologies.
  arXiv  Detail & Related papers  (2024-03-28T10:40:26Z)
• Video as the New Language for Real-World Decision Making [100.68643056416394]
  Video data captures important information about the physical world that is difficult to express in language. Video can serve as a unified interface that can absorb internet knowledge and represent diverse tasks. We identify major impact opportunities in domains such as robotics, self-driving, and science.
  arXiv  Detail & Related papers  (2024-02-27T02:05:29Z)
• History of generative Artificial Intelligence (AI) chatbots: past, present, and future development [1.6019538204169677]
  The study traces key innovations leading to today's advanced conversational agents, such as ChatGPT and Google Bard. The paper highlights how natural language processing and machine learning have been integrated into modern chatbots for more sophisticated capabilities.
  arXiv  Detail & Related papers  (2024-02-04T05:01:38Z)
• Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education [0.0]
  This paper explores the potential integration of large language models (LLMs) and chatbots into graduate engineering education. We develop a question bank from the course material and assess the bot's ability to provide accurate, insightful responses. We demonstrate how powerful plugins like Wolfram Alpha for mathematical problem-solving and code interpretation can significantly extend the bot's capabilities.
  arXiv  Detail & Related papers  (2023-09-09T13:37:22Z)
• A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions [0.0]
  ChatGPT is a type of artificial intelligence language model that uses deep learning algorithms to generate human-like responses to text-based prompts. The introduction of the latest ChatGPT version in November of 2022 has caused shockwaves in the industrial and academic communities.
  arXiv  Detail & Related papers  (2023-04-29T11:25:43Z)
• ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning [70.57126720079971]
  Large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) This paper evaluates ChatGPT on 7 different tasks, covering 37 diverse languages with high, medium, low, and extremely low resources. Compared to the performance of previous models, our extensive experimental results demonstrate a worse performance of ChatGPT for different NLP tasks and languages.
  arXiv  Detail & Related papers  (2023-04-12T05:08:52Z)
• A Survey of Large Language Models [81.06947636926638]
  Language modeling has been widely studied for language understanding and generation in the past two decades. Recently, pre-trained language models (PLMs) have been proposed by pre-training Transformer models over large-scale corpora. To discriminate the difference in parameter scale, the research community has coined the term large language models (LLM) for the PLMs of significant size.
  arXiv  Detail & Related papers  (2023-03-31T17:28:46Z)
• A Literature Survey of Recent Advances in Chatbots [0.0]
  We review recent advances on chatbots, where Artificial Intelligence and Natural Language processing are used. We highlight the main challenges and limitations of current work and make recommendations for future research investigation.
  arXiv  Detail & Related papers  (2022-01-17T23:08:58Z)
• Few-Shot Bot: Prompt-Based Learning for Dialogue Systems [58.27337673451943]
  Learning to converse using only a few examples is a great challenge in conversational AI. The current best conversational models are either good chit-chatters (e.g., BlenderBot) or goal-oriented systems (e.g., MinTL) We propose prompt-based few-shot learning which does not require gradient-based fine-tuning but instead uses a few examples as the only source of learning.
  arXiv  Detail & Related papers  (2021-10-15T14:36:45Z)
• Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation [80.29069988090912]
  We study the problem of learning a range of vision-based manipulation tasks from a large offline dataset of robot interaction. We propose to leverage offline robot datasets with crowd-sourced natural language labels. We find that our approach outperforms both goal-image specifications and language conditioned imitation techniques by more than 25%.
  arXiv  Detail & Related papers  (2021-09-02T17:42:13Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.