Enduring Questions, Innovative Technologies: Educational Theories Interface with AI

Rosemary Papa, Karen Moran Jackson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper aims to tie literature in AI to enduring questions in education about teaching and learning and discern ethical considerations that define those ties. The challenge was to answer the question: how do we merge our learning and leadership theories to technologies and the algorithmic biases that may maintain today's social injustices into our future? The paper first reviews the literature to identify the dialogue on AI by computer scientists in relation to enduring questions in education, learning theories, and ethics. Then we summarize data in the form of vignettes written by experts from the humanities, computer science, and social sciences. Some of the vignettes focused on how educational and technological systems are products of the social system and the ethical implications of such connections. Other writings centered data-driven approaches to incorporating AI technologies in classrooms, with concerns around uneven implementation and differential access. The paper concludes that to dialogue with educators AIED will need to move away from discussions of efficiency as measured by educational assessments and incorporate humanistic and social learning theories that embrace the complexities of human relationships. Developers should seek to work directly with educational leaders to establish optimal teaching strategies for the ethical ‘good’ of the learner, while attending to social justice parameters. Equally critical is the need to create ethical parameters between the AI and the student.

Original languageEnglish (US)
Title of host publicationIntelligent Computing - Proceedings of the 2021 Computing Conference
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages725-742
Number of pages18
ISBN (Print)9783030801250
DOIs
StatePublished - 2021
EventComputing Conference, 2021 - Virtual, Online
Duration: Jul 15 2021Jul 16 2021

Publication series

NameLecture Notes in Networks and Systems
Volume284
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceComputing Conference, 2021
CityVirtual, Online
Period7/15/217/16/21

Keywords

  • AIED
  • Algorithmic bias
  • Artificial intelligence
  • Educational technologies
  • Ethics
  • Learning theories

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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