Abstract
The purpose of this research is to study the effectiveness of using the specialized interactive environment Revit Architecture for creativity development. The study methodology relies on an empirical approach, including a sample of students from three Chinese colleges (n = 319) divided into two groups based on learning approach. Accordingly, the first group consisted of students who practiced their design skills under the conventional program (Group A) and the second group included students who additionally used Revit Architecture for their practice (Group B). The Torrance Tests of Creative Thinking (TTCT) facilitated the identification of the creative thinking development level among participants. The present paper also seeks to determine if there is a connection between creative thinking and design training program effectiveness in architecture education (null hypothesis). According to the final assessment results, Group B performed better than Group A; the difference in the average performance score was 10.9% between the two groups. As a result, it proves that interactive learning environments have a positive impact on the level of creativity skills development. Consequently, this study proves that using interactive learning environments in architectural design education contributes to better learning outcomes.
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References
Alimisis, D., Moro, M., & Menegatti, E. (2017). Educational robotics in the makers era (Vol. 560). Springer.
Amabile, T. M. (2012). Componential theory of creativity. Harvard Business School Press.
Anastasiades, P. (2017). ICT and collaborative creativity in modern school towards knowledge society. In P. Anastasiades, & N. Zaranis (Eds.), Research on e-learning and ICT in education: Technological, pedagogical and instructional perspectives (pp. 17–29). Springer. https://doi.org/10.1007/978-3-319-34127-9
Archistar. (2021). Top ten design software for architects. Which pieces of software will make your designs stand out? Retrieved December 20, 2021, from https://academy.archistar.ai/top-ten-design-software-for-architects
Avila, C., Baldiris, S., Fabregat, R., & Graf, S. (2020). Evaluation of a learning analytics tool for supporting teachers in the creation and evaluation of accessible and quality open educational resources. British Journal of Educational Technology, 51(4), 1019–1038. https://doi.org/10.1111/bjet.12940
Bannan, B., Cook, J., & Pachler, N. (2016). Reconceptualizing design research in the age of mobile learning. Interactive Learning Environments, 24(5), 938–953. https://doi.org/10.1080/10494820.2015.1018911
Bhakti, Y. B., Astuti, I. A. D., & Agustina, I. (2018). The influence process of science skill and motivation learning with creativity learn. Journal of Education and Learning, 12(1), 30–35. https://doi.org/10.11591/edulearn.v12i1.6912
Blikstein, P., & Worsley, M. (2016). Multimodal learning analytics and education data mining: Using computational technologies to measure complex learning tasks. Journal of Learning Analytics, 3(2), 220–238. https://doi.org/10.18608/jla.2016.32.11
Buckingham, D. (2013). Teaching the creative class? Media education and the media industries in the age of “participatory culture.” Journal of Media Practice, 14, 25–41. https://doi.org/10.1386/jmpr.14.1.25_1
Chantarasombat, C., & Sirisuthi, C. (2021). The development module of leader teacher in creative thinking for enhancement the doctor of philosophy in educational administration and leadership program. Multicultural Education, 7(11), 67–80. https://doi.org/10.5281/zenodo.5652261
Chen, S.-Y., Lai, C.-F., Lai, Y.-H., & Su, Y.-S. (2019). Effect of project-based learning on development of students’ creative thinking. The International Journal of Electrical Engineering and Education, in Press. https://doi.org/10.1177/0020720919846808
Crompton, H. (2013). A historical overview of m-learning: Toward learner-centred education. In Z. L. Berge & L. Y. Muilenburg (Eds.), Handbook of mobile learning (pp. 3–15). Routledge.
Doheim, R. M., & Yusof, N. (2020). Creativity in architecture design studio. Assessing students’ and instructors’ perception. Journal of Cleaner Production, 249, 119418. https://doi.org/10.1016/j.jclepro.2019.119418
Doleck, T., Lemay, D. J., & Brinton, C. G. (2021). Evaluating the efficiency of social learning networks: Perspectives for harnessing learning analytics to improve discussions. Computers & Education, 164(2021), 104124. https://doi.org/10.1016/j.compedu.2021.104124
Garrison, D. R., & Akyol, Z. (2013). Toward the development of a metacognition construct for communities of inquiry. The Internet and Higher Education, 17, 84–89. https://doi.org/10.1016/j.iheduc.2014.10.001
Gilsanz Díaz, A., Gutiérrez-Mozo, M. E., & Parra-Martinez, J. (2018). The education of the architect: Learning from the Black Mountain College experience. Reactive proactive architecture (pp. 56–61). Editorial Universitat Politècnica de València.
Gorbunova, I., & Hiner, H. (2019). Music computer technologies and interactive systems of education in digital age school. In Proceedings of the International Conference Communicative Strategies of Information Society (pp. 124–128). CSIS 2018.
Guan, M. (2021). The role of classical music in the creative thinking of university students. Thinking Skills and Creativity, 41, 100925. https://doi.org/10.1016/j.tsc.2021.100925
Ifinedo, P. (2017). Examining students’ intention to continue using blogs for learning: Perspectives from technology acceptance, motivational, and social-cognitive frameworks. Computers in Human Behavior, 72, 189–199. https://doi.org/10.1016/j.chb.2016.12.049
Irouke, V., & Ahianba, J. E. (2013). Advancement of creativity in architectural design education. Journal of Environmental Studies, 1(1), 78–82.
Juan, Y., & Xinhui, Z. (2021). The effect of creative thinking on academic performance: Mechanisms, heterogeneity, and implication. Thinking Skills and Creativity, 42, 100831. https://doi.org/10.1016/j.tsc.2021.100831
Kačerauskas, T., & Tamošauskas, P. (2015). Sport as factor of creativity. Filosofija. Sociologija, 26(1), 64–71.
Kent, C., Laslo, E., & Rafaeli, S. (2016). Interactivity in online discussions and learning outcomes. Computers & Education, 97, 116–128. https://doi.org/10.1016/j.compedu.2016.03.002
Khaddage, F., Müller, W., & Flintoff, K. (2016). Advancing mobile learning in formal and informal settings via mobile app technology: Where to from here, and how? Educational Technology & Society, 19(3), 16–27.
Khan Academy. (2021). What does an architectural designer do? Retrieved December 20, 2021, from https://www.khanacademy.org/college-careers-more/career-content/career-profiles-build-and-fix-things/career-profile-architectural-designer/a/what-does-an-architectural-designer-do
Lin, C.-H., Zheng, B., & Zhang, Y. (2017). Interactions and learning outcomes in online language courses. British Journal of Educational Technology, 48(3), 730–748. https://doi.org/10.1111/bjet.12457
Lin, C.-S., & Ying-Wei Wu, R. (2016). Effects of web-based creative thinking teaching on students’ creativity and learning outcome. Eurasia Journal of Mathematics, Science and Technology Education, 12(6), 1675–1684. https://doi.org/10.12973/eurasia.2016.1558a
Mahmoud, N. E., Kamel, S., & Hamza, T. S. (2020). The relationship between tolerance of ambiguity and creativity in architectural design studio. Creativity Studies, 13(1), 179–198. https://doi.org/10.3846/cs.2020.9628
Mohammed, S., & AbouBakr, D. (2018). Towards better educational process: Integrating creativity in the design process to enhance students’ thinking ability. In Green Heritage International Conference (pp. 1–19). British University.
Mubarak, A. A., Han, C., & Ahmed, S. (2020). Predictive learning analytics using deep learning model in MOOCS’ courses videos. Education and Information Technologies, 26, 371–392. https://doi.org/10.1007/s10639-020-10273-6
Nikolopoulou, K. (2018). Creativity and ICT: Theoretical approaches and perspectives in school education. In T. A. Mikropoulos (Ed.), Research on e-Learning and ICT in education (pp. 87–100). Springer. https://doi.org/10.1007/978-3-319-95059-4_5
Prabhu, R., Miller, S. R., Simpson, T. W., & Meisel, N. A. (2018). Teaching design freedom: Exploring the effects of design for additive manufacturing education on the cognitive components of students’ creativity. In International design engineering technical conferences and computers and information in engineering conference (Vol. 51784, p. V003T04A009). American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2018-85938
Psotka, J. (2012). Interactive learning environments. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning (pp. 1604–1606). Springer. https://doi.org/10.1007/978-1-4419-1428-6_321
Quadir, B., Yang, J. C., & Chen, N.-S. (2022). The effects of interaction types on learning outcomes in a blog-based interactive learning environment. Interactive Learning Environments, 30(2), 293–306. https://doi.org/10.1080/10494820.2019.1652835
Revit. (2021). Architectural design. What you can do with Revit. Retrieved December 20, 2021, from https://www.autodesk.com/products/revit/architecture
Ritter, S. M., & Mostert, N. (2017). Enhancement of creative thinking skills using a cognitive-based creativity training. Journal of Cognitive Enhancement, 1(3), 243–253. https://doi.org/10.1007/s41465-016-0002-3
Rodríguez-Ardura, I., & Meseguer-Artola, A. (2016). What leads people to keep on e-learning? An empirical analysis of users’ experiences and their effects on continuance intention. Interactive Learning Environments, 24(6), 1030–1053. https://doi.org/10.1080/10494820.2014.926275
Sáez-López, J.-M., & Sevillano-García, M.-L. (2017). Sensors, programming and devices in Art Education sessions. One case in the context of primary education. Cultura y Educación, 29(2), 350–384. https://doi.org/10.1080/11356405.2017.1305075
Shuaib, A. A. (2018). The importance of creative skills in architectural design education. University of Malaysia. https://doi.org/10.13140/RG.2.2.14133.73446
Starčič, A. I., & Vukan, M. (2019). Teachers' perception of data-driven school ecosystem and data analytics. In Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning (pp. 245–249). Association for Computer Machinery. https://doi.org/10.1145/3306500.3306573
Sullivan, F. R., & Keith, P. K. (2019). Exploring the potential of natural language processing to support microgenetic analysis of collaborative learning discussions. British Journal of Educational Technology, 50(6), 3047–3063. https://doi.org/10.1111/bjet.12875
Torrance, P. E. (2018). Torrance tests of creative thinking. Scholastic Testing Service, Inc. Retrieved December 20, 2021, from https://www.ststesting.com/gift/TTCT_InterpMOD.2018.pdf
Wang, B., & Li, P. P. (2021). Interdisciplinary approaches to arts education: Exploring the link between creative thinking and mastering exact sciences. Thinking Skills and Creativity, 42, 100968. https://doi.org/10.1016/j.tsc.2021.100968
Wong, J., Baars, M., de Koning, B. B., van der Zee, T., & Paas, F. (2019). Educational theories and learning analytics: From data to knowledge: The whole is greater than the sum of its parts. In D. Ifenthaler, D.-K. Mah, & J. Y.-K. Yau (Eds.), Utilizing learning analytics to support study success (Vol. 26, pp. 3–25). Springer. https://doi.org/10.1007/978-3-319-64792-0_1
Xia, X. (2020). Learning behavior mining and decision recommendation based on association rules in interactive learning environment. Interactive Learning Environments, in Press. https://doi.org/10.1080/10494820.2020.1799028
Xia, X. (2021). Decision application mechanism of regression analysis of multi-category learning behaviors in interactive learning environment. Interactive Learning Environments, in Press. https://doi.org/10.1080/10494820.2021.1916767
Zalloom, B. (2019). Increasing creativity and community responsibility through the interactive learning at the schools of architecture in Jordan. In IOP Conference Series: Materials Science and Engineering (Vol. 471, No. 8, p. 082065). IOP Publishing. https://doi.org/10.1088/1757-899X/471/8/082065
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The author wish to acknowledge the support of the 2021 Graduate Education and Teaching Reform Funding Project of Chang an University (300103112501), the Research Project Planning of Building the Consciousness of the Chinese Nation Community in Shaanxi (2022MZW018).
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Tingting Gao done all research processes.
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The institutional supervisory boards from the School of Construction Machinery (Changan University), Qingdao Technological University (Qindao College), and Antai College of Economics and Management (Shanghai Jiao Tong University) also approved the program.
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Gao, T. College education: Problem-solving creativity in an interactive learning environment. Educ Inf Technol 28, 217–236 (2023). https://doi.org/10.1007/s10639-022-11150-0
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DOI: https://doi.org/10.1007/s10639-022-11150-0