Effects of Creativity Styles on Learning Engagement and Motivation in STEAM Education

Participating in science, technology, engineering, arts, and mathematics (STEAM) fosters learning engagement and improves student learning outcomes. This study explored the effects of creativity style on learning engagement and motivation in STEAM education to emphasize the critical inner process of learning. The curriculum content was established based on STEAM with artificial intelligence (AI) game development. A Creativity Assessment Questionnaire was designed to measure students’ learning motivation through STEAM creativity. Before the experiment, the participants completed a creativity questionnaire to determine their creativity style. This study included 65 undergraduate volunteers from a national university in central Taiwan. Before the experiment, all participants completed a questionnaire to determine their creativity style, classified as either low or high ACT (actively engage in generating ideas) or low or high FLOW. During the experiment, they were asked to participate in our designed STEAM-with-AI-game learning activity, and their motivation and engagement were evaluated. Although there was a limitation of generalizability due to nonrandom sampling, this study revealed the effects of creativity style on the relationship between motivation and engagement in STEAM education. Our findings showed that creativity styles played a critical role in learning motivation and engagement. In addition, the creativity styles of ACT and FLOW enhanced learning engagement and motivation in STEAM education through STEAM–AI gamification.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-03-20
DOI
https://doi.org/10.3390/su17062755
Citations
8
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
25.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Creativity Styles on Learning Engagement and Motivation in STEAM Education

Chih‐Hung Wu, Yenchun Jim Wu, Kang-Lin Peng
8 citations
Sustainability
Education and Learning Interventions
25.97
article

Effects of Creativity Styles on Learning Engagement and Motivation in STEAM Education

Chih‐Hung Wu, Yenchun Jim Wu, Kang-Lin Peng
article en
8 citations

Abstract

Participating in science, technology, engineering, arts, and mathematics (STEAM) fosters learning engagement and improves student learning outcomes. This study explored the effects of creativity style on learning engagement and motivation in STEAM education to emphasize the critical inner process of learning. The curriculum content was established based on STEAM with artificial intelligence (AI) game development. A Creativity Assessment Questionnaire was designed to measure students’ learning motivation through STEAM creativity. Before the experiment, the participants completed a creativity questionnaire to determine their creativity style. This study included 65 undergraduate volunteers from a national university in central Taiwan. Before the experiment, all participants completed a questionnaire to determine their creativity style, classified as either low or high ACT (actively engage in generating ideas) or low or high FLOW. During the experiment, they were asked to participate in our designed STEAM-with-AI-game learning activity, and their motivation and engagement were evaluated. Although there was a limitation of generalizability due to nonrandom sampling, this study revealed the effects of creativity style on the relationship between motivation and engagement in STEAM education. Our findings showed that creativity styles played a critical role in learning motivation and engagement. In addition, the creativity styles of ACT and FLOW enhanced learning engagement and motivation in STEAM education through STEAM–AI gamification.

SustainabilityVol. 17(6)
National Taiwan Normal University (TW), National Taichung University of Education (TW), City University of Macau (MO)
Openalex Percentile: Top 1%
Education and Learning Interventions
25.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.