The exponential growth of question answering (QA) has made it an indispensable topic in any Natural Language Processing (NLP) course. Additionally, the breadth of QA derived from this exponential growth makes it an ideal scenario for teaching related NLP topics such as information retrieval, explainability, and adversarial attacks among others. In this paper, we introduce UKP-SQuARE as a platform for QA education. This platform provides an interactive environment where students can run, compare, and analyze various QA models from different perspectives, such as general behavior, explainability, and robustness. Therefore, students can get a first-hand experience in different QA techniques during the class. Thanks to this, we propose a learner-centered approach for QA education in which students proactively learn theoretical concepts and acquire problem-solving skills through interactive exploration, experimentation, and practical assignments, rather than solely relying on traditional lectures. To evaluate the effectiveness of UKP-SQuARE in teaching scenarios, we adopted it in a postgraduate NLP course and surveyed the students after the course. Their positive feedback shows the platform's effectiveness in their course and invites a wider adoption.

本文介绍了 UKP-SQuARE 平台，该平台能够为问答教育提供一个互动环境，学生可以从不同的角度运行、比较和分析各种 QA 模型，通过互动探索、实验和实际作业，学生可以积极地学习理论概念和获取解决问题的技能。在一门研究生自然语言处理课程中应用 UKP-SQuARE 平台，学生的积极反馈表明该平台在课程中的有效性，并邀请更广泛的应用。

UKP-SQuARE: 一个互动式的教学问答工具