Augmented Debate-Centered Instruction: A Novel Research Agenda for Responsible AI Integration in Education

Stefan Bauschard, Alan Coverstone, Devin Gonier, John Hines, Anand Rao
Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:139-150, 2024.

Abstract

This paper puts forth a novel research agenda called Augmented Debate-Centered Instruction (ADCI) to address a concerning gap in understanding the responsible integration of AI in education. As assessments grounded in individual writing become unreliable with the proliferation of language models, most attention has focused on detecting AI cheating rather than exploring pedagogical adaptations. This oversight leaves open critical questions about how generative AI might be leveraged to augment instructional practices and provide alternative modes of assessment, especially for developing essential cognitive abilities and durable skills.

Cite this Paper

BibTeX
@InProceedings{pmlr-v257-bauschard24a, title = {Augmented Debate-Centered Instruction: A Novel Research Agenda for Responsible AI Integration in Education}, author = {Bauschard, Stefan and Coverstone, Alan and Gonier, Devin and Hines, John and Rao, Anand}, booktitle = {Proceedings of the 2024 AAAI Conference on Artificial Intelligence}, pages = {139--150}, year = {2024}, editor = {Ananda, Muktha and Malick, Debshila Basu and Burstein, Jill and Liu, Lydia T. and Liu, Zitao and Sharpnack, James and Wang, Zichao and Wang, Serena}, volume = {257}, series = {Proceedings of Machine Learning Research}, month = {26--27 Feb}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v257/main/assets/bauschard24a/bauschard24a.pdf}, url = {https://proceedings.mlr.press/v257/bauschard24a.html}, abstract = {This paper puts forth a novel research agenda called Augmented Debate-Centered Instruction (ADCI) to address a concerning gap in understanding the responsible integration of AI in education. As assessments grounded in individual writing become unreliable with the proliferation of language models, most attention has focused on detecting AI cheating rather than exploring pedagogical adaptations. This oversight leaves open critical questions about how generative AI might be leveraged to augment instructional practices and provide alternative modes of assessment, especially for developing essential cognitive abilities and durable skills.} }
Endnote
%0 Conference Paper %T Augmented Debate-Centered Instruction: A Novel Research Agenda for Responsible AI Integration in Education %A Stefan Bauschard %A Alan Coverstone %A Devin Gonier %A John Hines %A Anand Rao %B Proceedings of the 2024 AAAI Conference on Artificial Intelligence %C Proceedings of Machine Learning Research %D 2024 %E Muktha Ananda %E Debshila Basu Malick %E Jill Burstein %E Lydia T. Liu %E Zitao Liu %E James Sharpnack %E Zichao Wang %E Serena Wang %F pmlr-v257-bauschard24a %I PMLR %P 139--150 %U https://proceedings.mlr.press/v257/bauschard24a.html %V 257 %X This paper puts forth a novel research agenda called Augmented Debate-Centered Instruction (ADCI) to address a concerning gap in understanding the responsible integration of AI in education. As assessments grounded in individual writing become unreliable with the proliferation of language models, most attention has focused on detecting AI cheating rather than exploring pedagogical adaptations. This oversight leaves open critical questions about how generative AI might be leveraged to augment instructional practices and provide alternative modes of assessment, especially for developing essential cognitive abilities and durable skills.
APA
Bauschard, S., Coverstone, A., Gonier, D., Hines, J. & Rao, A.. (2024). Augmented Debate-Centered Instruction: A Novel Research Agenda for Responsible AI Integration in Education. Proceedings of the 2024 AAAI Conference on Artificial Intelligence, in Proceedings of Machine Learning Research 257:139-150 Available from https://proceedings.mlr.press/v257/bauschard24a.html.

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