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Equity, Diversity, and Inclusion in Educational Technology Research and Development

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Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky (AIED 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1831))

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Abstract

Modern education stands to greatly benefit from technological advances, especially in Artificial Intelligence (AI), that aim to enable effective and personalized learning for all students. However, to improve learning for the majority of students, AI solutions may exclude those who are under-represented due to unique differences in their demographic background or cognitive abilities. Towards combating this issue, we propose a workshop that will initiate conversations about equity, diversity, and inclusion in educational technology research and development. The workshop invites papers from the AIED community about equitable and inclusive educational technology that supports diverse populations, with selected authors being invited to present their work. The workshop is structured around three stages of learning engineering - system design, experimental study, and data analysis - with informational presentations, guest speakers, paper presentations, and group discussions relevant to each stage. Through the participation of community members from multiple disciplines, we seek to formulate a framework for developing and assessing equitable and inclusive educational technology.

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Notes

  1. 1.

    https://openai.com/blog/chatgpt.

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Authors and Affiliations

  1. Cornell University, Ithaca, NY, 14850, USA

    Adele Smolansky & Rene F. Kizilcec

  2. Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Huy A. Nguyen & Bruce M. McLaren

Authors
  1. Adele Smolansky
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  2. Huy A. Nguyen
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  3. Rene F. Kizilcec
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  4. Bruce M. McLaren
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Corresponding author

Correspondence to Adele Smolansky .

Editor information

Editors and Affiliations

  1. University of Southern California, Los Angeles, CA, USA

    Ning Wang

  2. University of British Columbia, Vancouver, BC, Canada

    Genaro Rebolledo-Mendez

  3. University of Leeds, Leeds, UK

    Vania Dimitrova

  4. North Carolina State University, Raleigh, NC, USA

    Noboru Matsuda

  5. UNED, Madrid, Spain

    Olga C. Santos

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Smolansky, A., Nguyen, H.A., Kizilcec, R.F., McLaren, B.M. (2023). Equity, Diversity, and Inclusion in Educational Technology Research and Development. In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_8

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  • DOI: https://doi.org/10.1007/978-3-031-36336-8_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36335-1

  • Online ISBN: 978-3-031-36336-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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