Computers and Education

, volume 194 , pages 104684

Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom

Anna Y. Q. Huang ¹

Owen H T Lu ²

Stephen JH Yang ¹

Hide authors affiliations Show authors affiliations: 2 affiliations

Computer Science & Information Engineering, National Central University, Taoyuan, Taiwan |

International College of Innovation, National Chengchi University, Taipei, Taiwan |

Publication type: Journal Article

Publication date: 2023-03-01

Elsevier

Computers and Education

scimago Q1

wos Q1

SJR: 3.343

CiteScore: 23.7

Impact factor: 10.5

ISSN: 03601315, 1873782X

DOI: 10.1016/j.compedu.2022.104684

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General Computer Science

Education

Abstract

The flipped classroom approach is aimed at improving learning outcomes by promoting learning motivation and engagement. Recommendation systems can also be used to improve learning outcomes. With the rapid development of artificial intelligence (AI) technology, various systems have been developed to facilitate student learning. Accordingly, we applied AI-enabled personalized video recommendations to stimulate students' learning motivation and engagement during a systems programming course in a flipped classroom setting. We assigned students to control and experimental groups comprising 59 and 43 college students, respectively. The students in both groups received flipped classroom instruction, but only those in the experimental group received AI-enabled personalized video recommendations. We quantitatively measured students’ engagement based on their learning profiles in a learning management system. The results revealed that the AI-enabled personalized video recommendations could significantly improve the learning performance and engagement of students with a moderate motivation level.

Found

1 citation

Lima Danielli

🥼 🤝

DSc in Physics and Mathematics, associate professor

99 publications, 205 citations, 58 reviews

h-index: 8

Federal Institute of Education, Science and Technology of Triângulo Mineiro

Research interests

Artificial intelligence

1 citation

Gözüm Ali İbrahim Can

PhD in Education, associate professor, full member of the Turkish Academy of Sciences

66 publications, 1 584 citations, 15 reviews

h-index: 16

Kafkas University

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Huang A. Y. Q., Lu O. H. T., Yang S. J. Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom // Computers and Education. 2023. Vol. 194. p. 104684.

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RIS Copy

TY - JOUR

DO - 10.1016/j.compedu.2022.104684

UR - https://doi.org/10.1016/j.compedu.2022.104684

TI - Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom

T2 - Computers and Education

AU - Huang, Anna Y. Q.

AU - Lu, Owen H T

AU - Yang, Stephen JH

PY - 2023

DA - 2023/03/01

PB - Elsevier

SP - 104684

VL - 194

SN - 0360-1315

SN - 1873-782X

ER -

BibTex

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BibTex (up to 50 authors) Copy

@article{2023_Huang,

author = {Anna Y. Q. Huang and Owen H T Lu and Stephen JH Yang},

title = {Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom},

journal = {Computers and Education},

year = {2023},

volume = {194},

publisher = {Elsevier},

month = {mar},

url = {https://doi.org/10.1016/j.compedu.2022.104684},

pages = {104684},

doi = {10.1016/j.compedu.2022.104684}

}

Publisher

Elsevier

Journal

Computers and Education

scimago Q1

wos Q1

SJR

3.343

CiteScore

23.7

Impact factor

10.5

ISSN

03601315 (Print)

1873782X