TY - GEN
T1 - How gamification increases learning performance? Investigating the role of task modularity
AU - Suh, Ayoung
AU - Li, Mengjun
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Generation Z is technologically aware, achievement focused, and keen on obtaining quick feedback and instant results from learning processes. Members of Generation Z absorb knowledge and information gathered from digital media and actively share their experiences and achievements with others through social media networks. This study explores how learning systems could be designed to enhance student performance considering the characteristics of Generation Z. It contributes to the gamification literature by (1) providing a nuanced understanding of the interplay among gamification affordances, task modularity, and learning performance, (2) developing a framework for a successful gamified learning system, and (3) generating design ideas for gamified learning applications that improve students’ learning performance.
AB - Generation Z is technologically aware, achievement focused, and keen on obtaining quick feedback and instant results from learning processes. Members of Generation Z absorb knowledge and information gathered from digital media and actively share their experiences and achievements with others through social media networks. This study explores how learning systems could be designed to enhance student performance considering the characteristics of Generation Z. It contributes to the gamification literature by (1) providing a nuanced understanding of the interplay among gamification affordances, task modularity, and learning performance, (2) developing a framework for a successful gamified learning system, and (3) generating design ideas for gamified learning applications that improve students’ learning performance.
KW - Gamification
KW - Gamification affordance
KW - Learning performance
KW - Task modularity
UR - https://www.scopus.com/pages/publications/85088753420
U2 - 10.1007/978-3-030-50439-7_9
DO - 10.1007/978-3-030-50439-7_9
M3 - Conference contribution
AN - SCOPUS:85088753420
SN - 9783030504380
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 129
EP - 146
BT - Augmented Cognition. Human Cognition and Behavior - 14th International Conference, AC 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
A2 - Schmorrow, Dylan D.
A2 - Fidopiastis, Cali M.
PB - Springer
T2 - 14th International Conference on Augmented Cognition, AC 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -
