Examining the Impact of Flipped Learning for Developing Young Job Seekers’ AI Literacy

Hyo Jin Kim, Hyo Jeong So, Young Joo Suh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

While AI literacy is regarded as an essential competency to become a citizen in a rapidly changing society, it is challenging for people without computer science (CS) backgrounds to develop a sufficient level of AI competency. The main goal of this research is to examine the impact of the flipped learning approach to equip non-CS major students who intend to pursue careers in AI-related fields with basic AI literacy. Among various learner-centered methods, flipped learning was chosen as the main pedagogical frame to design an AI literacy curriculum. The participants were 80 adult learners who enrolled in the AI education program in Korea. The control group (N = 40) was taught in traditional instructor-centered methods whereas the experimental group (N = 40) was taught with a flipped learning method. Our research results indicate that AI literacy education with flipped learning improves the learning achievements of both CS majors and non-majors, especially effective for higher-order problem-solving skills.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings
EditorsNing Wang, Genaro Rebolledo-Mendez, Noboru Matsuda, Olga C. Santos, Vania Dimitrova
PublisherSpringer Science and Business Media Deutschland GmbH
Pages817-823
Number of pages7
ISBN (Print)9783031362712
DOIs
StatePublished - 2023
Event24th International Conference on Artificial Intelligence in Education, AIED 2023 - Tokyo, Japan
Duration: 3 Jul 20237 Jul 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13916 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Artificial Intelligence in Education, AIED 2023
Country/TerritoryJapan
CityTokyo
Period3/07/237/07/23

Bibliographical note

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

Keywords

  • AI literacy
  • Flipped learning
  • Job seekers
  • Non-majors

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