AI For Leadership: Implementation And Evaluation Of An AI Education Program

Aikaterina Bagiati, Andres F. Salazar-Gomez

Research output: Contribution to journalArticlepeer-review

Abstract

AI education is rapidly becoming the next frontier when it comes to solving the world's grand challenges; however, ways to introduce AI to large complex organisations are still vastly understudied. To address this gap in 2021, Massachusetts Institute of Technology (MIT) entered into a collaboration with the US Air Force (USAF). The goal of this relationship is to develop, study, and evaluate different learning modalities and online/in-person experiences to introduce AI to the diverse USAF workforce. The USAF is a very complex organisation and its employees vary in terms of educational and cultural backgrounds, as well as in their work-related needs, demands and restrictions. The initial program started in 2021 and a pilot study took place. The pilot evaluated the content, pedagogy, and educational technology used in 3 different learning journeys designed for 6 different learner profiles. Findings from 2021 guided improvements for future iterations. The updated iteration of the learning journey was introduced to the second cohort of the program in 2022. Cohort 2 included 200 USAF leaders, managers and decision makers, and the learning journey consisted of a combination of synchronous and asynchronous online experiences, as well as an in-person active learning component offered on campus to a subgroup of the learners. This research paper will introduce the updated iteration of the program, the evaluation of the learning journey, as well as the overall learner experience.
Original languageEnglish
Pages (from-to)100-108
Number of pages9
JournalEuropean Society for Engineering Education (SEFI)
DOIs
Publication statusPublished - 2023
Externally publishedYes

Keywords

  • AI education
  • learning modalities
  • online/in-person experiences
  • US Air Force
  • educational technology
  • learner profiles
  • synchronous and asynchronous online experiences
  • in-person active learning
  • AI curriculum development
  • AI for decision making
  • diverse learners
  • AI for leadership
  • scalability

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