Teaching how to argue is a multifaceted task that demands more than the dissemination of theoretical knowledge; it requires fostering interactive learning environments that facilitate active engagement and practice. The traditional approach to teaching argumentation often centers on lecturing and one-way communication, where instructors impart information to students. While didactic methods have their place in education, a more interactive pedagogical approach, one that encourages learners to actively participate, can be used.
In this section, you can find in which ways current argumentative computational models enable a form of interaction either between different users or with a conversational agent.
| Subsection | Title | Date | Author | Reference |
|---|---|---|---|---|
| Interaction with a conversational agent | Towards building a spoken dialogue system for argument exploration | 2022 | Annalena Aicher, Nadine Gerstenlauer, Isabel Feustel, Wolfgang Minker, and Stefan Ultes | In Proceedings of the 13th Language Resources and Evaluation Conference, pages 1234--1241, Marseille, France. European Language Resources Association (LREC 2022). |
| Interaction with a conversational agent | A review of opportunities and challenges of chatbots in education | 2021 | Gwo-Jen Hwang and Ching-Yi Chang | Interactive Learning Environments, 0(0):1--14. |
| Interaction with a conversational agent | Chatbots in education and research: A critical examination of ethical implications and solutions | 2023 | Chokri Kooli | Sustainability, 15:5614. |
| Interaction with a conversational agent | A review of ai-driven conversational chatbots implementation methodologies and challenges (1999–2022) | 2023 | Chien-Chang Lin, Anna Huang, and Stephen Yang | Sustainability, 15:4012. |
| Interaction between different users | Discussion tracker: Supporting teacher learning about students' | 2020 | Luca Lugini, Christopher Olshefski, Ravneet Singh, Diane Litman, and Amanda Godley | In Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations, pages 53--58, Barcelona, Spain (Online). International Committee on Computational Linguistics (ICCL). |
| Interaction with a conversational agent | Opportunities and challenges in neural dialog tutoring | 2023 | Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, and Mrinmaya Sachan | In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2357–2372, Dubrovnik, Croatia. Association for Computational Linguistics. |
| Interaction with a conversational agent | Learning to give a complete argument with a conversational agent: An experimental study in two domains of argumentation. | 2022 | Behzad Mirzababaei and Viktoria Pammer-Schindler | In Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, pages 215--228, Cham. Springer International Publishing. |
| Interaction between different users | Annotating arguments: The nomad collaborative annotation tool. | 2014 | Georgios Petasis | In Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014), Reykjavik, Iceland. European Language Resources Association (ELRA). |
| Interaction with a conversational agent | Strategize before teaching: A conversational tutoring system with pedagogy self-distillation | 2023 | Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, and Kam-Fai Wong | In Findings of the Association for Computational Linguistics: EACL 2023, pages 2268–2274, Dubrovnik, Croatia. Association for Computational Linguistics |
| Interaction between different users | Visar: A human-ai argumentative writing assistant with visual programming and rapid draft prototyping | 2023 | Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal, and Toby Jia-Jun Li |