{"title":"Exploring the Potential of Generative AI (ChatGPT) for Foreign Language Instruction: Applications and Challenges","authors":"Antonio Pérez-Núñez","doi":"10.1353/hpn.2023.a906568","DOIUrl":null,"url":null,"abstract":"ChatGPT is currently the most powerful generative AI model available for public use. It recently gained significant media attention for its unprecedented capacities to produce human-like text and engage in natural conversations with users (Rudolph, Tan and Tan 2023). ChatGPT is a natural language processing (NLP) system that was released by OpenAI on November 30, 2022, for free research preview. An NLP system is a branch of artificial intelligence (AI) that enables computers to comprehend, manipulate, and generate human language (Chowdhary 2020). NLP systems use a combination of techniques from computer science, linguistics, and machine learning to process and analyze natural language text and speech data (Deng and Lin 2022). ChatGPT employs a deep learning (DL) model constructed using artificial neural networks and designed to analyze input data and extract increasingly complex features (Hu and Buehler 2023). What sets ChatGPT apart from other AI-powered models is its large scale. GPT-4, which is ChatGPT’s current AI model, is reportedly the largest artificial neural network ever produced with over one trillion parameters (Ray 2023). This enormous network was trained using a massive dataset that consisted of web crawl data from the internet, books, conversations, and the English Wikipedia (Brown et al. 2020). This extensive training allows ChatGPT to comprehend and respond to a wide range of topics. ChatGPT has several other features that stand out. Its chatbot interface makes it easy to use, requiring just a prompt to generate a response from the model. It is capable of producing fluent text in multiple languages, including English, Spanish, and Portuguese, across a broad range of genres such as fiction, poetry, news articles, and academic papers (Chatterjee and Dethlefs 2023; Deng and Ling 2022). Finally, ChatGPT is able to learn from previous conversations and feedback, enabling the model to provide more accurate or contextually relevant responses (Tate et al. 2022). Due to its impressive capabilities, an increasing number of studies are exploring the potential use of ChatGPT across multiple fields, including education (Rudolph, Tan, and Tan 2023), medicine (King 2022), journalism and mass media (Pavlik 2023) and computer science (Chatterjee and Dethlefs 2023). The following section outlines and describes specific uses of ChatGPT’s capabilities to support foreign language teaching and learning. Next, it highlights some of the current limitations of the AI system and identifies potential issues that may arise from using generative AI systems in foreign language learning and teaching.","PeriodicalId":51796,"journal":{"name":"Hispania-A Journal Devoted To the Teaching of Spanish and Portuguese","volume":"106 1","pages":"355 - 362"},"PeriodicalIF":0.2000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hispania-A Journal Devoted To the Teaching of Spanish and Portuguese","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1353/hpn.2023.a906568","RegionNum":4,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
ChatGPT is currently the most powerful generative AI model available for public use. It recently gained significant media attention for its unprecedented capacities to produce human-like text and engage in natural conversations with users (Rudolph, Tan and Tan 2023). ChatGPT is a natural language processing (NLP) system that was released by OpenAI on November 30, 2022, for free research preview. An NLP system is a branch of artificial intelligence (AI) that enables computers to comprehend, manipulate, and generate human language (Chowdhary 2020). NLP systems use a combination of techniques from computer science, linguistics, and machine learning to process and analyze natural language text and speech data (Deng and Lin 2022). ChatGPT employs a deep learning (DL) model constructed using artificial neural networks and designed to analyze input data and extract increasingly complex features (Hu and Buehler 2023). What sets ChatGPT apart from other AI-powered models is its large scale. GPT-4, which is ChatGPT’s current AI model, is reportedly the largest artificial neural network ever produced with over one trillion parameters (Ray 2023). This enormous network was trained using a massive dataset that consisted of web crawl data from the internet, books, conversations, and the English Wikipedia (Brown et al. 2020). This extensive training allows ChatGPT to comprehend and respond to a wide range of topics. ChatGPT has several other features that stand out. Its chatbot interface makes it easy to use, requiring just a prompt to generate a response from the model. It is capable of producing fluent text in multiple languages, including English, Spanish, and Portuguese, across a broad range of genres such as fiction, poetry, news articles, and academic papers (Chatterjee and Dethlefs 2023; Deng and Ling 2022). Finally, ChatGPT is able to learn from previous conversations and feedback, enabling the model to provide more accurate or contextually relevant responses (Tate et al. 2022). Due to its impressive capabilities, an increasing number of studies are exploring the potential use of ChatGPT across multiple fields, including education (Rudolph, Tan, and Tan 2023), medicine (King 2022), journalism and mass media (Pavlik 2023) and computer science (Chatterjee and Dethlefs 2023). The following section outlines and describes specific uses of ChatGPT’s capabilities to support foreign language teaching and learning. Next, it highlights some of the current limitations of the AI system and identifies potential issues that may arise from using generative AI systems in foreign language learning and teaching.
ChatGPT是目前可供公众使用的最强大的生成式人工智能模型。它最近获得了媒体的广泛关注,因为它具有前所未有的能力,可以产生类似人类的文本,并与用户进行自然对话(Rudolph, Tan和Tan 2023)。ChatGPT是OpenAI于2022年11月30日发布的自然语言处理(NLP)系统,供免费研究预览。NLP系统是人工智能(AI)的一个分支,它使计算机能够理解、操纵和生成人类语言(Chowdhary 2020)。NLP系统结合了计算机科学、语言学和机器学习技术来处理和分析自然语言文本和语音数据(Deng and Lin 2022)。ChatGPT采用人工神经网络构建的深度学习(DL)模型,旨在分析输入数据并提取日益复杂的特征(Hu and Buehler 2023)。ChatGPT与其他人工智能模型的区别在于其庞大的规模。据报道,ChatGPT目前的人工智能模型GPT-4是迄今为止生产的最大的人工神经网络,拥有超过1万亿个参数(Ray 2023)。这个庞大的网络使用一个庞大的数据集进行训练,该数据集包括来自互联网、书籍、对话和英语维基百科的网络抓取数据(Brown et al. 2020)。这种广泛的培训使ChatGPT能够理解和响应广泛的主题。ChatGPT还有其他几个突出的特性。它的聊天机器人界面使其易于使用,只需要一个提示就可以从模型生成响应。它能够生成流利的多种语言文本,包括英语、西班牙语和葡萄牙语,涵盖小说、诗歌、新闻文章和学术论文等广泛类型(Chatterjee和Dethlefs 2023;邓和凌2022)。最后,ChatGPT能够从之前的对话和反馈中学习,使模型能够提供更准确或与上下文相关的响应(Tate et al. 2022)。由于其令人印象深刻的能力,越来越多的研究正在探索ChatGPT在多个领域的潜在应用,包括教育(Rudolph, Tan, and Tan, 2023),医学(King 2022),新闻和大众媒体(Pavlik 2023)和计算机科学(Chatterjee和Dethlefs 2023)。以下部分概述并描述了ChatGPT支持外语教学的功能的具体用途。接下来,它强调了人工智能系统目前的一些局限性,并确定了在外语学习和教学中使用生成式人工智能系统可能产生的潜在问题。