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

Hyo Jin Kim; Hyo Jeong So; Young Joo Suh

doi:10.1007/978-3-031-36272-9_77

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

Hyo Jin Kim, Hyo Jeong So, Young Joo Suh

Department of Educational Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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 language	English
Title of host publication	Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings
Editors	Ning Wang, Genaro Rebolledo-Mendez, Noboru Matsuda, Olga C. Santos, Vania Dimitrova
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	817-823
Number of pages	7
ISBN (Print)	9783031362712
DOIs	https://doi.org/10.1007/978-3-031-36272-9_77
State	Published - 2023
Event	24th International Conference on Artificial Intelligence in Education, AIED 2023 - Tokyo, Japan Duration: 3 Jul 2023 → 7 Jul 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13916 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	24th International Conference on Artificial Intelligence in Education, AIED 2023
Country/Territory	Japan
City	Tokyo
Period	3/07/23 → 7/07/23

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

Access to Document

10.1007/978-3-031-36272-9_77

Cite this

Kim, H. J., So, H. J., & Suh, Y. J. (2023). Examining the Impact of Flipped Learning for Developing Young Job Seekers’ AI Literacy. In N. Wang, G. Rebolledo-Mendez, N. Matsuda, O. C. Santos, & V. Dimitrova (Eds.), Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings (pp. 817-823). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13916 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-36272-9_77

Kim, Hyo Jin ; So, Hyo Jeong ; Suh, Young Joo. / Examining the Impact of Flipped Learning for Developing Young Job Seekers’ AI Literacy. Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings. editor / Ning Wang ; Genaro Rebolledo-Mendez ; Noboru Matsuda ; Olga C. Santos ; Vania Dimitrova. Springer Science and Business Media Deutschland GmbH, 2023. pp. 817-823 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{3a53e76ff4be468cbfa55874bf864f7d,

title = "Examining the Impact of Flipped Learning for Developing Young Job Seekers{\textquoteright} AI Literacy",

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.",

keywords = "AI literacy, Flipped learning, Job seekers, Non-majors",

author = "Kim, {Hyo Jin} and So, {Hyo Jeong} and Suh, {Young Joo}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 24th International Conference on Artificial Intelligence in Education, AIED 2023 ; Conference date: 03-07-2023 Through 07-07-2023",

year = "2023",

doi = "10.1007/978-3-031-36272-9_77",

language = "English",

isbn = "9783031362712",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "817--823",

editor = "Ning Wang and Genaro Rebolledo-Mendez and Noboru Matsuda and Santos, {Olga C.} and Vania Dimitrova",

booktitle = "Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings",

}

Kim, HJ, So, HJ & Suh, YJ 2023, Examining the Impact of Flipped Learning for Developing Young Job Seekers’ AI Literacy. in N Wang, G Rebolledo-Mendez, N Matsuda, OC Santos & V Dimitrova (eds), Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13916 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 817-823, 24th International Conference on Artificial Intelligence in Education, AIED 2023, Tokyo, Japan, 3/07/23. https://doi.org/10.1007/978-3-031-36272-9_77

Examining the Impact of Flipped Learning for Developing Young Job Seekers’ AI Literacy. / Kim, Hyo Jin; So, Hyo Jeong; Suh, Young Joo.
Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings. ed. / Ning Wang; Genaro Rebolledo-Mendez; Noboru Matsuda; Olga C. Santos; Vania Dimitrova. Springer Science and Business Media Deutschland GmbH, 2023. p. 817-823 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13916 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Examining the Impact of Flipped Learning for Developing Young Job Seekers’ AI Literacy

AU - Kim, Hyo Jin

AU - So, Hyo Jeong

AU - Suh, Young Joo

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - AI literacy

KW - Flipped learning

KW - Job seekers

KW - Non-majors

UR - http://www.scopus.com/inward/record.url?scp=85164953289&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-36272-9_77

DO - 10.1007/978-3-031-36272-9_77

M3 - Conference contribution

AN - SCOPUS:85164953289

SN - 9783031362712

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 817

EP - 823

BT - Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings

A2 - Wang, Ning

A2 - Rebolledo-Mendez, Genaro

A2 - Matsuda, Noboru

A2 - Santos, Olga C.

A2 - Dimitrova, Vania

PB - Springer Science and Business Media Deutschland GmbH

T2 - 24th International Conference on Artificial Intelligence in Education, AIED 2023

Y2 - 3 July 2023 through 7 July 2023

ER -

Kim HJ, So HJ, Suh YJ. Examining the Impact of Flipped Learning for Developing Young Job Seekers’ AI Literacy. In Wang N, Rebolledo-Mendez G, Matsuda N, Santos OC, Dimitrova V, editors, Artificial Intelligence in Education - 24th International Conference, AIED 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 817-823. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-36272-9_77

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this