Discourse Analysis on Learning Theories and AI

Rosemary Papa, Karen Moran Jackson, Ric Brown, David Jackson

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

1 Scopus citations


The intent of the study was to identify the dialogue and discourse on how AI development includes and/or excludes pedagogical educational learning theories focused on the learner. Through identifying areas of intersection between AI development and learning theories, educational leaders can interface with developers and content experts to establish optimal teaching skills and strategies for the ethical ‘good’ of the learner. The review of the discourse in the literature revealed surprisingly limited intersections between AI and learning theories, with a tool-centric literature, coupled with efficiency evaluations and developmental narratives. The following three conceptual questions to engage in dialogue between AI developers and educational leaders surrounding AI and learning theories were proposed: (1) Who ultimately controls the curriculum? (2) Are cognitive theories primarily utilized in constructing AI algorithms? (3) What is encapsulated in AI’s hidden curriculum and how is bias/discrimination accounted for? The opportunity for educational leaders and theorists of learning to engage with AI developers and super-intelligence is necessary for the ‘good’ of what is developed artificially. If teachers are viewed as only content experts without acknowledgement of the multiple strategies they use to inspire and encourage students, then AI development may get teaching very wrong.

Original languageEnglish (US)
Title of host publicationIntelligent Computing - Proceedings of the 2020 Computing Conference
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
Number of pages8
ISBN (Print)9783030522421
StatePublished - 2020
EventScience and Information Conference, SAI 2020 - London, United Kingdom
Duration: Jul 16 2020Jul 17 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1230 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


ConferenceScience and Information Conference, SAI 2020
Country/TerritoryUnited Kingdom


  • Artificial intelligence
  • Discourse analysis
  • Educational leadership
  • Learning theories

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science


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