
doi: 10.4028/p-p79su1
handle: 1854/LU-8761149
Recent technological advancements have a fundamental potential to transform 21st century textile engineering [1]. Thus, it is essential to further incorporate innovations in industry. In textile engineering education alike, innovative teaching methods, for instance, learning through virtual reality [2], learning by making [3], and game-based learning [4] are apt, and in fact, required methods to teach these subjects for Industry 4.0 in a more understandable and holistic way. Specifically, game-based learning is seen as beneficial in textile engineering education in the part of knowledge acquisition, student engagement and independent learning [4]. This paper presents a pilot study about how online textile games (‘ChoiCo’-Choices with Consequences) co-created with industry partners in the scope of an Erasmus+ KA2 project (T-CREPE), have been incorporated into a design engineering course in a university in Belgium. The purpose of this paper is to reflect on the impact of using digital games in textile engineering education and students’ gains from this approach. Ten (n = 10) textile engineering students participated in questionnaires providing quantitative and qualitative data about the games. Also, reflection reports written by students for each game provided personal insights. The results have shown that games can be useful in textile engineering education by improving students’ 21st century skills (e.g., critical thinking, problem solving, self-learning).
game-based learning, Technology and Engineering, 21st century skills, game modding, textile engineering education, online learning platform
game-based learning, Technology and Engineering, 21st century skills, game modding, textile engineering education, online learning platform
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
