TY - GEN
T1 - The Effect of Gamification with Self-Regulated Approach to Promoting Nursing Students’ Leopold’s Maneuvers Performance
AU - Setiani, Intan
AU - Chang, Ching Yi
AU - Yang, Jie Chi
N1 - Publisher Copyright:
© 2023 Asia-Pacific Society for Computers in Education.
PY - 2023/12
Y1 - 2023/12
N2 - Fetal appearance and proper position evaluation are crucial for determining the best labor treatments. Healthcare or midwifery nurses, require knowledge about the fetus's position and health to make decisions on whether to induce labor. In addition, attending to the patient's needs throughout labor is essential. The fetal positioning and monitoring process may be uncovered with the use of Leopold's techniques. Students find it challenging to apply what they learn in the classroom to real-world challenges since standard training lacks chances for clinical experience and application. This study aims to investigate the impact of integrating online game-based environments with gamification and a self-regulated learning (SRL) strategy on nursing students' Leopold's maneuvers skills. The use of games as a learning tool in education has gained popularity due to its ability to provide a playful and motivating experience for students, as well as fostering cooperation among them. However, the application of game-based learning and gamification in nursing skill instruction remains understudied. The researchers propose integrating an online game-based environment called Gather with gamification features and a self-regulated learning strategy for nursing students. The self-regulated learning approach in this study includes goal setting, performing tasks with gamification elements such as points, badge, leaderboards, and self-evaluation. An experiment will be conducted at a nursing school in a Taiwan university using a quasi-experimental design to investigate the learning performance, motivation, self-efficacy and perceptions.
AB - Fetal appearance and proper position evaluation are crucial for determining the best labor treatments. Healthcare or midwifery nurses, require knowledge about the fetus's position and health to make decisions on whether to induce labor. In addition, attending to the patient's needs throughout labor is essential. The fetal positioning and monitoring process may be uncovered with the use of Leopold's techniques. Students find it challenging to apply what they learn in the classroom to real-world challenges since standard training lacks chances for clinical experience and application. This study aims to investigate the impact of integrating online game-based environments with gamification and a self-regulated learning (SRL) strategy on nursing students' Leopold's maneuvers skills. The use of games as a learning tool in education has gained popularity due to its ability to provide a playful and motivating experience for students, as well as fostering cooperation among them. However, the application of game-based learning and gamification in nursing skill instruction remains understudied. The researchers propose integrating an online game-based environment called Gather with gamification features and a self-regulated learning strategy for nursing students. The self-regulated learning approach in this study includes goal setting, performing tasks with gamification elements such as points, badge, leaderboards, and self-evaluation. An experiment will be conducted at a nursing school in a Taiwan university using a quasi-experimental design to investigate the learning performance, motivation, self-efficacy and perceptions.
KW - Gamification
KW - Leopold’s maneuvers
KW - nursing education
KW - online game-based environment
KW - self-regulated learning
UR - http://www.scopus.com/inward/record.url?scp=85181775310&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85181775310&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85181775310
T3 - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
SP - 63
EP - 71
BT - 31st International Conference on Computers in Education, ICCE 2023 - Proceedings
A2 - Shih, Ju-Ling
A2 - Kashihara, Akihiro
A2 - Chen, Weiqin
A2 - Chen, Weiqin
A2 - Ogata, Hiroaki
A2 - Baker, Ryan
A2 - Chang, Ben
A2 - Dianati, Seb
A2 - Madathil, Jayakrishnan
A2 - Yousef, Ahmed Mohamed Fahmy
A2 - Yang, Yuqin
A2 - Zarzour, Hafed
PB - Asia-Pacific Society for Computers in Education
T2 - 31st International Conference on Computers in Education, ICCE 2023
Y2 - 4 December 2023 through 8 December 2023
ER -