Establishment of a Digital Knowledge Conversion Architecture Design Learning with High User Acceptance

Yun- Wu; Apollo Weng; Kuo-hua Weng

doi:10.12973/eurasia.2017.01224a

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Yun- Wu ¹, Apollo Weng ¹, Kuo-hua Weng ¹ ^*

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¹ China University of Technology^* Corresponding Author

Abstract

The purpose of this study is to design a knowledge conversion and management digital learning system for architecture design learning, helping students to share, extract, use and create their design knowledge through web-based interactive activities based on socialization, internalization, combination and externalization process in addition to learning in the “design studio” at school. In addition, the technology acceptance model3 is used in this study to measure how students accept the system developed in this study by analyzing the user behavioral and environmental factors that can affect their use of the system. The results of questionnaire surveys based on TAM3 indicate that this digital learning environment based on knowledge management can effectively reduce the challenge of “ill-defined design problems” for students and help to promote better learning results. Therefore, it can be concluded that the knowledge transfer learning system developed in this study is very helpful for learning of architecture design.

Keywords

knowledge conversion learning systems
architecture design learning
technology acceptance model 3

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 13, Issue 6, June 2017, 2255-2273

https://doi.org/10.12973/eurasia.2017.01224a

Publication date: 15 Jun 2017

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Article Downloads: 1204

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References

Akin, Ö. (2002). Case-based instruction strategies in architecture. Design Studies, 23(4), 407-431.
Alenezi, A. R., Karim, A. M. A., & Veloo, A. (2010). An empirical investigation into the role of enjoyment, computer anxiety, computer self-efficacy and internet experience in influencing the students' intention to use e-learning: A case study from Saudi Arabian governmental universities.TOJET: The Turkish Online Journal of Educational Technology, 9(4).
Angeli, C., & Valanides, N. (2009). Instructional effects on critical thinking: Performance on ill-defined issues. Learning and Instruction, 19(4), 322-334.
Bea, F. (1993). Aluminosity dependent fractionation patterns in differentiated granite-leucogranite systems. EOS, 74(16), 343.
Broadfoot, O., & Bennett, R. (2003). Design studios: Online? Comparing traditional face-to-face design studio education with modern Internet-based design studios.
Carrillo, P., & Chinowsky, P. (2006). Exploiting knowledge management: The engineering and construction perspective. Journal of Management in Engineering, 22(1), 2-10.
Chow, M., Herold, D. K., Choo, T. M., & Chan, K. (2012). Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education. Computers & Education, 59(4), 1136-1144.
Daugherty, J., & Mentzer, N. (2008). Analogical reasoning in the engineering design process and technology education applications.
Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Harvard Business Press.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis Jr, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
Faqih, K. M., & Jaradat, M. I. R. M. (2015). Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37-52.
Forcada, N., Fuertes, A., Gangolells, M., Casals, M., & Macarulla, M. (2013). Knowledge management perceptions in construction and design companies. Automation in construction, 29, 83-91.
Haaren, F. V., & Moes, N. C. (2016). Shareworks-a ubiquitous online learning platform for project-based learning and networking. International Journal of Computer Aided Engineering and Technology, 8(1- 2), 179-197.
Haddad, K., & Baglee, D. (2015, September). Using Augmented Reality in Manufacturing Firms and its Impacts on Knowledge Transfer. In European Conference on Knowledge Management (p. 1037). Academic Conferences International Limited.
Hong, J. C., Hwang, M. Y., Szeto, E., Tsai, C. R., Kuo, Y. C., & Hsu, W. Y. (2016). Internet cognitive failure relevant to self-efficacy, learning interest, and satisfaction with social media learning. Computers in Human Behavior, 55, 214-222.
Hosseini, S. A., Bathaei, S. M., & Mohammadzadeh, S. (2014). Does self-efficacy effect on knowledge sharing intention in e-learning system? A motivational factor analysis in Open University Malaysia (OUM). Kuwait Chapter of the Arabian Journal of Business and Management Review, 3(11), 35.
Lefievre, V. (2012, May). Gender differences in acceptance by students of training software for office tools. In 14th Annual International Conference on Education.
Lee, Y. H., Hsieh, Y. C., & Chen, Y. H. (2013). An investigation of employees' use of e-learning systems: applying the technology acceptance model. Behaviour & Information Technology, 32(2), 173-189.
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford university press.
Nonaka, I. (2008). The knowledge-creating company. Harvard Business Review Press.
Payne, J., & Sheehan, T. (2004). Demystifying knowledge management: A best practice guide for the construction industry. Constructing excellence.
Rittel, H. W., & Webber, M. M. (1973). 2.3 planning problems are wicked. Polity, 4, 155-169.
Sharma, S. K., & Chandel, J. K. (2013). Technology acceptance model for the use of learning through websites among students in Oman.
Stahl, G. (2000). A model of collaborative knowledge-building. In Fourth international conference of the learning sciences (Vol. 10, pp. 70-77). Mahwah, NJ: Erlbaum, 2000a.
Tergan, S. O. (2005). Digital concept maps for managing knowledge and information. In Knowledge and information visualization (pp. 185-204). Springer Berlin Heidelberg.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Wang, M. (2011). Integrating organizational, social, and individual perspectives in Web 2.0-based workplace e-learning. Information Systems Frontiers, 13(2), 191-205.
Wu, Y. W., Huang, C. F., & Weng, K. H. (2014). A Study of an Architecture Design Learning Process Based on Social Learning, Course Teaching, Interaction, and Analogical Thinking. Mathematical Problems in Engineering.

How to cite this article

APA

Wu, Y., Weng, A., & Weng, K.-H. (2017). Establishment of a Digital Knowledge Conversion Architecture Design Learning with High User Acceptance. Eurasia Journal of Mathematics, Science and Technology Education, 13(6), 2255-2273. https://doi.org/10.12973/eurasia.2017.01224a

Vancouver

Wu Y, Weng A, Weng KH. Establishment of a Digital Knowledge Conversion Architecture Design Learning with High User Acceptance. EURASIA J Math Sci Tech Ed. 2017;13(6):2255-73. https://doi.org/10.12973/eurasia.2017.01224a

AMA

Wu Y, Weng A, Weng KH. Establishment of a Digital Knowledge Conversion Architecture Design Learning with High User Acceptance. EURASIA J Math Sci Tech Ed. 2017;13(6), 2255-2273. https://doi.org/10.12973/eurasia.2017.01224a

Chicago

Wu, Yun-, Apollo Weng, and Kuo-hua Weng. "Establishment of a Digital Knowledge Conversion Architecture Design Learning with High User Acceptance". Eurasia Journal of Mathematics, Science and Technology Education 2017 13 no. 6 (2017): 2255-2273. https://doi.org/10.12973/eurasia.2017.01224a

Harvard

Wu, Y., Weng, A., and Weng, K.-H. (2017). Establishment of a Digital Knowledge Conversion Architecture Design Learning with High User Acceptance. Eurasia Journal of Mathematics, Science and Technology Education, 13(6), pp. 2255-2273. https://doi.org/10.12973/eurasia.2017.01224a

MLA

Wu, Yun- et al. "Establishment of a Digital Knowledge Conversion Architecture Design Learning with High User Acceptance". Eurasia Journal of Mathematics, Science and Technology Education, vol. 13, no. 6, 2017, pp. 2255-2273. https://doi.org/10.12973/eurasia.2017.01224a