ChatGPT, with its customization features and Voice Mode, has the potential for more engaging and peresonalized ESL (English as a Second Language) education. This study examines the efficacy of customized ChatGPT conversational features in facilitating ESL speaking practices, comparing the performance of four versions of ChatGPT Voice Mode: uncustomized Standard mode, uncustomized Advanced mode, customized Standard mode, and customized Advanced mode. Customization was guided by prompt engineering principles and grounded in relevant theories, including Motivation Theory, Culturally Responsive Teaching (CRT), Communicative Language Teaching (CLT), and the Affective Filter Hypothesis. Content analysis found that customized versions generally provided more balanced feedback and emotional support, contributing to a positive and motivating learning environment. However, cultural responsiveness did not show significant improvement despite targeted customization efforts. These initial findings suggest that customization could enhance ChatGPT's capacity as a more effective language tutor, with the standard model already capable of meeting the learning needs. The study underscores the importance of prompt engineering and AI literacy in maximizaing AI's potential in language learning.

翻译：ChatGPT凭借其定制化功能与语音交互模式，为英语作为第二语言（ESL）教育提供了更具吸引力与个性化的可能性。本研究通过对比四种ChatGPT语音交互模式的性能——未定制标准模式、未定制高级模式、定制标准模式及定制高级模式，检验定制化对话功能在促进ESL口语练习中的有效性。定制过程遵循提示工程原则，并以动机理论、文化回应教学法、交际语言教学法及情感过滤假说等相关理论为基础。内容分析表明，定制版本普遍能提供更均衡的反馈与情感支持，有助于营造积极且具激励性的学习环境。然而，尽管进行了针对性定制，文化回应性并未呈现显著提升。初步研究结果显示，定制化可增强ChatGPT作为语言辅导工具的有效性，而标准模型已具备满足学习需求的能力。本研究强调了提示工程与人工智能素养在最大化AI语言学习潜力中的重要意义。