综述阿拉伯语教育聊天机器人现状与挑战
Arabic Chatbot Technologies in Education: An Overview
- 系统梳理现有阿拉伯语教育聊天机器人技术路线
- 发现多数未采用先进模型，性能评估不统一
- 适合关注多语言AI与教育科技的研究者
近年来，人工智能特别是自然语言处理的进展，推动了聊天机器人在教育、医疗、旅游和客户服务等领域的广泛应用。新冠疫情加剧了对远程数字技术的需求，全球范围内大规模采用在线学习系统。大型语言模型如BERT和GPT的出现使聊天机器人更受欢迎。本文对现有的阿拉伯语教育聊天机器人进行了综述，分析其采用的技术路径、语言变体及性能评估指标。研究发现，尽管英语等语言的聊天机器人已取得显著成果，但少数阿拉伯语教育聊天机器人仍使用传统方法，缺乏现代技术应用。文章最后探讨了该领域未来的研究方向。
原文摘要 · Abstract (English)
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.
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