TY - GEN
T1 - Discovering Programming Talent and Improving Learning Motivation with CodeCombat in K-12 Education
AU - Choi, Wan Chong
AU - Choi, Iek Chong
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Nurturing programming talent early is crucial in today's digital world, especially in K-12 education, underscored by the rise of programming competitions for younger students. However, with limited research in programming talent search, discovering programming talent in primary schools posed a significant challenge. Traditionally, various test-based talent search tools have been utilized for programming talent identification, including the Computer Talent Search Test (CTST) and the Beginners Computational Thinking Test (BCTt). Game-based platforms like CodeCombat offer an engaging alternative to overcome this challenge. CodeCombat integrates game-based learning with programming education, allowing students to apply their computational thinking skills in an enjoyable context for learning Python. The study revealed a significant correlation between CodeCombat, CTST, and BCTt outcomes. This highlighted that CodeCombat emerged as a valuable platform for talent search, aligning seamlessly with the objectives of the test-based tools and suggesting its effectiveness in boosting programming learning motivation in primary school.
AB - Nurturing programming talent early is crucial in today's digital world, especially in K-12 education, underscored by the rise of programming competitions for younger students. However, with limited research in programming talent search, discovering programming talent in primary schools posed a significant challenge. Traditionally, various test-based talent search tools have been utilized for programming talent identification, including the Computer Talent Search Test (CTST) and the Beginners Computational Thinking Test (BCTt). Game-based platforms like CodeCombat offer an engaging alternative to overcome this challenge. CodeCombat integrates game-based learning with programming education, allowing students to apply their computational thinking skills in an enjoyable context for learning Python. The study revealed a significant correlation between CodeCombat, CTST, and BCTt outcomes. This highlighted that CodeCombat emerged as a valuable platform for talent search, aligning seamlessly with the objectives of the test-based tools and suggesting its effectiveness in boosting programming learning motivation in primary school.
KW - CodeCombat
KW - K-12 programming education
KW - Learning motivation
KW - Programming talent search
UR - http://www.scopus.com/inward/record.url?scp=85191947407&partnerID=8YFLogxK
U2 - 10.1109/EDUNINE60625.2024.10500458
DO - 10.1109/EDUNINE60625.2024.10500458
M3 - Conference contribution
AN - SCOPUS:85191947407
T3 - EDUNINE 2024 - 8th IEEE World Engineering Education Conference: Empowering Engineering Education: Breaking Barriers through Research and Innovation, Proceedings
BT - EDUNINE 2024 - 8th IEEE World Engineering Education Conference
A2 - Brito, Claudio da Rocha
A2 - Ciampi, Melany M.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE World Engineering Education Conference, EDUNINE 2024
Y2 - 10 March 2024 through 13 March 2024
ER -