Art Design Major Students’ Performance and Perceptions towards Online Collaborative Project at a Chinese University
Main Article Content
บทคัดย่อ
Technology has a transformative impact on collaboration in the design industry. However, the impact of new technologies on collaborative learning in art design education remains limited. Art and design educators lack empirical evidence to guide students in effective online collaborative learning. This study investigated the impact of online collaborative technologies on art design students' learning performance and perceptions of collaborative learning. A quasi-experiment, coupled with a questionnaire survey, was conducted with 90 third-year art design students enrolled in a "Restaurant Design" course at a public university in China. The students were divided into an experimental group using Miro for online collaboration and a control group participating in face-to-face collaboration.
According to the data analysis results, the experimental group performed significantly better in the design process and design product than the control group, with no significant difference in design presentation performance. In addition, the results showed significant differences in perceptions between the experimental and control groups regarding peer interaction, student-instructor interaction, emotional engagement, and social presence in collaborative learning, while no differences were found in their perceptions of learning performance. The study demonstrated that online collaborative technology in art design education positively impacted student learning performance and collaborative experiences.
Article Details
เอกสารอ้างอิง
Al-Samarraie, H., & Saeed, N. (2018). A systematic review of cloud computing tools for collaborative learning: Opportunities and challenges to the blended-learning environment. Computers & Education, 124, 77-91.
Cho, J. Y., & Cho, M. H. (2014). Student perceptions and performance in online and offline collaboration in an interior design studio. International Journal of Technology and Design Education, 24, 473-491.
Cho, J. Y., Cho, M.-H., & Kozinets, N. (2016). Does the medium matter in collaboration? Using visually supported collaboration technology in an interior design studio. International Journal of Technology and Design Education, 26(4), 567-586.
Dreamson, N. (2017). Online collaboration in design education: an experiment in real‐time manipulation of prototypes and communication. International journal of art & design education, 36(2), 188-199.
Fleischmann, K. (2018). Hype or help? Technology-enhanced learning in the design classroom: an experiment in online design collaboration. International Journal of Arts & Sciences, 11(1), 331-341.
Freitag, N., Serafin, A., & Schmidt, S. (2022). Learning analytics dashboards for online collaboration whiteboards: feasibility check of an activity dashboard to support the evaluation of student activity within Miro. International Journal of Management, Knowledge and Learning, 11, 207-214.
Gale, A. J., Martin, D., Martin, K., & Duffey, M. A. (2014). The burnout phenomenon: A comparative study of student attitudes toward collaborative learning and sustainability. Journal of Interior Design, 39(1), 17-31.
Gu, N., Yu, R., London, K., Pablo, Z., & Roberts, M. (2024). Evaluating the use of digital technologies to support design collaboration. In J. H. Lee, M. J. Ostwald, & M. J. Kim (Eds.), Multimodality in Architecture: Collaboration, Technology and Education (pp. 39-64). Cham: Springer Nature Switzerland.
Güler, K. (2015). Social media-based learning in the design studio: A comparative study. Computers & Education, 87, 192-203.
Hernández-Sellés, N., Muñoz-Carril, P. C., & González-Sanmamed, M. (2019). Computer-supported collaborative learning: An analysis of the relationship between interaction, emotional support and online collaborative tools. Computers & Education, 138, 1-12.
Hettithanthri, U., & Hansen, P. (2022). Design studio practice in the context of architectural education: A narrative literature review. International Journal of Technology and Design Education, 32(4), 2343-2364.
Idi, D. B., & Khaidzir, K. A. M. (2018). Critical perspective of design collaboration: A review. Frontiers of Architectural Research, 7(4), 544-560.
Janssen, J., Erkens, G., Kanselaar, G., & Jaspers, J. (2007). Visualization of participation: Does it contribute to successful computer-supported collaborative learning?. Computers & Education, 49(4), 1037-1065.
Kim, M. J., Hwang, Y. S., & Hwang, H. S. (2020). Utilising social networking services as a collective medium to support design communication in team collaboration. Archnet-IJAR: International Journal of Architectural Research, 14(3), 409-421.
Lee, T., Pham, K., Crosby, A., & Peterson, J. F. (2021). Digital collaboration in design education: how online collaborative software changes the practices and places of learning. Pedagogy, Culture & Society, 29(2), 231-245.
Marion, T. J., & Fixson, S. K. (2021). The transformation of the innovation process: How digital tools are changing work, collaboration, and organizations in new product development. Journal of Product Innovation Management, 38(1), 192-215.
Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Vallespín-Arán, M. (2018). Exploring the impacts of interactions, social presence and emotional engagement on active collaborative learning in a social web-based environment. Computers & Education, 123, 41-52.
Pimentel, J. L. (2010). A note on the usage of Likert Scaling for research data analysis. USM R&D Journal, 18(2), 109-112.
Sharma, B. P. (2022). Digital tools in art education: From expanding creative horizons and facilitating collaboration to increasing access and resources for a diverse student population. Applied Research in Artificial Intelligence and Cloud Computing, 5(1), 55-65.
Strauß, S., & Rummel, N. (2020). Promoting interaction in online distance education: designing, implementing and supporting collaborative learning. Information and learning sciences, 121(5/6), 251-260.
Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in science education, 48, 1273-1296.
Wang, C., Fang, T., & Gu, Y. (2020). Learning performance and behavioral patterns of online collaborative learning: Impact of cognitive load and affordances of different multimedia. Computers & Education, 143, 103683.
Yadegaridehkordi, E., Shuib, L., Nilashi, M., & Asadi, S. (2019). Decision to adopt online collaborative learning tools in higher education: A case of top Malaysian universities. Education and Information Technologies, 24(1), 79–102
Yazici, H. J. (2009). A study of collaborative learning style and team learning performance. Education and Training, 47(3), 216–229.
