TY - GEN
T1 - A Mixed Reality-Based Framework for Blended Learning Environment
AU - Iqbal, Javid
AU - Chit, Su Mon
AU - Chin, Jia Hou
N1 - Funding Information:
Acknowledgement. This research is funded by UCSI University Research Excellence and Innovation Grant (REIG-ICSDI-2021/024).
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022/6/16
Y1 - 2022/6/16
N2 - The process of bridging the gap between reality and virtual data has been possible through exponential technologies such as Mixed Reality (MR), Augmented Reality (AR) and Virtual Reality (VR). MR has so far proffered numerous advantages ranging from communication, navigation, medical aid, data modelling, visualization, and education to remote accessibility across diverse platforms. This paper proposes a systematic framework for knowledge acquisition and synthesis through MR based constructivism learning theory. The methodology uses a bottom-up approach and is based upon the Dryfus modelling. The existing drawbacks of poor learning retention, interactive knowledge acquisition and synthesis are addressed based upon MR technology. The framework provides the basis for embedding MR technology into analyzing and enabling human practical knowledge, as well as extending the scope for knowledge acquisition to rediscover the learning process in educational environments. Furthermore, existing MR based solutions for learning theories are reviewed. The validation of the proposed framework is carried out using technology acceptance model. The real-time knowledge acquisition device embedded with MR technology is explored and enhanced to demonstrate the accuracy and efficacy of the proposed framework.
AB - The process of bridging the gap between reality and virtual data has been possible through exponential technologies such as Mixed Reality (MR), Augmented Reality (AR) and Virtual Reality (VR). MR has so far proffered numerous advantages ranging from communication, navigation, medical aid, data modelling, visualization, and education to remote accessibility across diverse platforms. This paper proposes a systematic framework for knowledge acquisition and synthesis through MR based constructivism learning theory. The methodology uses a bottom-up approach and is based upon the Dryfus modelling. The existing drawbacks of poor learning retention, interactive knowledge acquisition and synthesis are addressed based upon MR technology. The framework provides the basis for embedding MR technology into analyzing and enabling human practical knowledge, as well as extending the scope for knowledge acquisition to rediscover the learning process in educational environments. Furthermore, existing MR based solutions for learning theories are reviewed. The validation of the proposed framework is carried out using technology acceptance model. The real-time knowledge acquisition device embedded with MR technology is explored and enhanced to demonstrate the accuracy and efficacy of the proposed framework.
KW - Blended learning
KW - Mixed reality
KW - Technology based learning
UR - http://www.scopus.com/inward/record.url?scp=85132986210&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-05014-5_34
DO - 10.1007/978-3-031-05014-5_34
M3 - Conference contribution
AN - SCOPUS:85132986210
SN - 9783031050138
VL - 13337
T3 - Lecture Notes in Computer Science
SP - 408
EP - 416
BT - Design, Operation and Evaluation of Mobile Communications - Third International Conference, MOBILE 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
A2 - Salvendy, Gavriel
A2 - Wei, June
PB - Springer
T2 - 3rd International Conference on Design, Operation and Evaluation of Mobile Communications, MOBILE 2022 Held as Part of the 24th HCI International Conference, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -