TY - GEN
T1 - Applying augmented reality to improve the outcomes of procedural knowledge acquisition
AU - Zhang, Jia
AU - Chang, Kuo En
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - The acquisition of procedural knowledge is vital to learning content that emphasizes steps and sequences. However, such learning is difficult for learners in conventional teaching settings. Although research has confirmed that augmented reality (AR) is effective in enhancing learning-related memory, no studies have verified whether AR can effectively enhance memory of procedural knowledge. In this study, an AR mobile application was used to assist in the teaching of Microsoft Excel by guiding students through steps for performing Excel operations and thereby establishing their procedural knowledge of eight Excel formulas. The objective was to verify whether AR could effectively help students retain memory of procedural knowledge. This empirical study on 68 student participants revealed that students using the AR system retained adequate memory of procedural operations 2 weeks after completing the Excel classes.
AB - The acquisition of procedural knowledge is vital to learning content that emphasizes steps and sequences. However, such learning is difficult for learners in conventional teaching settings. Although research has confirmed that augmented reality (AR) is effective in enhancing learning-related memory, no studies have verified whether AR can effectively enhance memory of procedural knowledge. In this study, an AR mobile application was used to assist in the teaching of Microsoft Excel by guiding students through steps for performing Excel operations and thereby establishing their procedural knowledge of eight Excel formulas. The objective was to verify whether AR could effectively help students retain memory of procedural knowledge. This empirical study on 68 student participants revealed that students using the AR system retained adequate memory of procedural operations 2 weeks after completing the Excel classes.
KW - Augmented reality
KW - Long-term memory
KW - Mobile learning
UR - http://www.scopus.com/inward/record.url?scp=85072925970&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072925970&partnerID=8YFLogxK
U2 - 10.1109/ICALT.2019.00105
DO - 10.1109/ICALT.2019.00105
M3 - Conference contribution
AN - SCOPUS:85072925970
T3 - Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019
SP - 340
EP - 343
BT - Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019
A2 - Chang, Maiga
A2 - Sampson, Demetrios G
A2 - Huang, Ronghuai
A2 - Gomes, Alex Sandro
A2 - Chen, Nian-Shing
A2 - Bittencourt, Ig Ibert
A2 - Kinshuk, Kinshuk
A2 - Dermeval, Diego
A2 - Bittencourt, Ibsen Mateus
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019
Y2 - 15 July 2019 through 18 July 2019
ER -