TY - GEN
T1 - An immersive situational group learning system with body movement and emotion recognition combined with subject knowledge
AU - Xie, Meng Xuan
AU - Wu, Yu Wei
AU - Chen, Gwo Dong
AU - Wang, Jen Hang
AU - Yang, Su Hang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In the current digital situational learning, such as digital game-based learning or Second Life, learners use virtual characters to enter the situational learning, instead of using their own bodies. In addition, many subject matters requiring situational learning need a combination of subject knowledge, body language, and emotional expression, and require students to conduct group learning. However, most of the current situational systems can only provide evaluation and feedback on text or language, and cannot provide feedback on body movements and emotional expressions. To address these issues, this study establishes a situational learning system that enables students to enter the learning situation with their whole body and in small groups. Furthermore, the cognitive services of artificial intelligence are also adopted to conduct immediate evaluation and feedback on students' learning performance, such as language, body movement, and emotional display, and students' learning outcomes can be displayed in front of their peers. The experimental results show that the proposed situational learning system can improve students' learning effect for subject matters that need to combine body movements and emotional expression.
AB - In the current digital situational learning, such as digital game-based learning or Second Life, learners use virtual characters to enter the situational learning, instead of using their own bodies. In addition, many subject matters requiring situational learning need a combination of subject knowledge, body language, and emotional expression, and require students to conduct group learning. However, most of the current situational systems can only provide evaluation and feedback on text or language, and cannot provide feedback on body movements and emotional expressions. To address these issues, this study establishes a situational learning system that enables students to enter the learning situation with their whole body and in small groups. Furthermore, the cognitive services of artificial intelligence are also adopted to conduct immediate evaluation and feedback on students' learning performance, such as language, body movement, and emotional display, and students' learning outcomes can be displayed in front of their peers. The experimental results show that the proposed situational learning system can improve students' learning effect for subject matters that need to combine body movements and emotional expression.
KW - Activity Recognition and Application
KW - Immediate Feedback
KW - Immersive Situated Learning
KW - Situational Learning
UR - http://www.scopus.com/inward/record.url?scp=85136953184&partnerID=8YFLogxK
U2 - 10.1109/ICALT55010.2022.00094
DO - 10.1109/ICALT55010.2022.00094
M3 - 會議論文篇章
AN - SCOPUS:85136953184
T3 - Proceedings - 2022 International Conference on Advanced Learning Technologies, ICALT 2022
SP - 292
EP - 296
BT - Proceedings - 2022 International Conference on Advanced Learning Technologies, ICALT 2022
A2 - Chang, Maiga
A2 - Chen, Nian-Shing
A2 - Dascalu, Mihai
A2 - Sampson, Demetrios G
A2 - Tlili, Ahmed
A2 - Trausan-Matu, Stefan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Advanced Learning Technologies, ICALT 2022
Y2 - 1 July 2022 through 4 July 2022
ER -