Abstract
This study aims to design a STEAM virtual reality (VR) learning environment for engineering students, as well as evaluate the practicability of the learning environment. This study adopted Fuzzy Delphi Method by inviting six experts in the fields of VR application, STEAM education, and engineering education to execute the expert questionnaire survey, in a bid to build up a capability indicator of STEAM education and carry out the STEAM VR environment practicability evaluation serving as a foundation of the further development of curriculum. According to our study findings, the most important capability indicator in STEAM is “Hands-on Skills”, followed by “Problem Solving”, “Daily Life Application”, “Sensory Learning” and “Interdisciplinarity”. In terms of the practicability evaluation of STEAM VR learning environment establishment, the highest scoring element is “Interactivity”, followed by “Engagement”, with “Imagination” being the lowest. This study serves as a reference for future educators and researchers in establishing a STEAM VR learning environment.
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1 Introduction
The public’s reliance on the convenience brought by technology exacerbates as our information and communication systems develop and improve. Upon the impact of the COVID-19 epidemic, breakthroughs and improvement in knowledge and skills require urgent support by technology, which highlights the importance of education and development in the engineering field. Nonetheless, in this century with ever-changing technology, more and more innovative and creative talents are desired. It urges the cultivation of STEAM students to become a critical education practice among governments [1].
To this end, an increasing number of countries are proposing divergent education strategies to train students in their interdisciplinary STEAM skills, including using intelligent studying products [2] such as Skilled-based Learning, Robot-based Education, Artificial Intelligence, Augmented Reality and Virtual Reality. It is hoped that students can be equipped with interdisciplinary integrating minds when nurturing their problem-solving skills in daily life and arousing their creativity and imagination through the assistance of technical tools to prepare for transformations in the social environment.
Despite STEAM education integrates subjects in different areas, it can be challenging for sole educators to implement the approach and develop STEAM ability in students [3]. It was pointed out by many that designing student-centered situated teaching can effectively cultivate their abilities in STEAM such as Interdisciplinarity, Hands-on Skills, Daily Life Application and Problem Solving [4]. Therefore, it is predicted that the application of sensory stimulation and highly interactive and immersive VR technology in education will be the major development trend in assisted instruction in the future [5, 6].
In conclusion, this study will design the STEAM VR learning environment and carry out its evaluation while adopting the emerging technology of VR and holding the prime aim of educating engineering students. Two objectives included are as below:
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(1)
Constructing a STEAM capability indicator
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(2)
Evaluate the practicability of a STEAM VR learning environment
2 Literature Review
STEAM- and VR-related literature revolving around our objectives are reviewed. Demonstrations are as below:
2.1 Definition of STEAM
STEAM is the integrated education combining scientific investigation, technology, engineering design, artistic creations and mathematics analysis [7]. It aims to improve problem-solving and critical thinking skills and creativity among students using mathematic and scientific based engineering and designing practices in order to remedy problems in the real world. It also encourages the reconstruction of current art education into inquiry-oriented teaching, as well as creative problem solving [1]. It is to equip the students with the five abilities in STEAM specified in Table 1.
To conclude, this study held the notion that to promote STEAM learning of students, a VR environment can be established to guide the students through entertaining simulation independently. During the exploring process, students can improve their five primary abilities of Interdisciplinarity, Hands-on Skills, Daily Life Application, Problem Solving and Sensory Learning.
2.2 Definition of VR
VR is the technology to stimulate the reality world, with visualized expression being the most compatible with the instinctive visual exploration. It could promote experience and connection between learners and their practical reality environment [8]. VR possesses three features, according to Table 2, to provide users with a first-person perspective in a virtual situation, therefore allowing users to enjoy its merriment as experienced personally [5, 6, 9].
To sum up, this study brought the Immersion, Interaction, Imagination features of VR technology into play to establish a study-friendly STEAM environment for students in order to boost learning effectiveness in STEAM.
3 Research Design
Citing the result of literature review, the framework of “STEAM capability indicator” and “STEAM VR learning environment” practicability evaluation respectively are as below:
3.1 Research Structure and Subjects
This study framework (as shown in Fig. 1) adopted the Fuzzy Delphi Method by inviting six experts (more than six years of experience) in the fields of VR application, STEAM education and engineering to collaborate jointly and provide consultations in order to execute the Delphi expert questionnaire survey. Thus the STEAM capability indicator construction and the STEAM VR learning environment establishment practicability analysis are completed and serve as a foundation of future development of the curriculum.
3.2 Research Method
Fuzzy Delphi Method (FDM) is the combination of Delphi Method and Fuzzy Logic to use Triangular Fuzzy Number for ameliorating the shortcoming of traditional Delphi Method. It eliminates the limitations of humanity fuzzification and is an effective way to establish an indicator [10]. Hence, this study adopted the Fuzzy Delphi Method in the construction of STEAM capability indicator and STEAM VR learning environment practicability analysis.
4 Results and Discussion
The result analysis of executing the Fuzzy Delphi expert questionnaire survey based on the objective in establishing a STEAM VR learning environment is below:
4.1 Analysis of the Importance of STEAM Capability Indicator
For the “Establishment of STEAM capability indicator”, after obtaining subjective value judgments and assessing scores from six experts of the Fuzzy Delphi expert questionnaire survey, the analysis results are as in Table 3. The scores in the importance of STEAM capability indicator ranged between 0.718 and 0.757. The highest scoring item is “Hands-on skills” with a score of 0.757, followed by “Problem-Solving” scoring 0.757, “Daily Life Application” scoring 0.753, “Sensory Learning” scoring 0.744, and ends by “Interdisciplinarity” scoring 0.718.
4.2 STEAM VR Learning Environment Practicability Analysis
This study delved into the practicability of establishing a STEAM VR learning environment. The analyzed result by Fuzzy Delphi Method experts is shown in Table 4.
In respect to the practicability of Interdisciplinarity VR learning, the scores ranged from 0.718 to 0.730. The item with the highest practicability is Interactivity, which scored 0.730.In respect to the practicability of Hands-on Skills VR learning, the scores ranged from 0.733 to 0.773. The item with the highest practicability is Interactivity, which scored 0.773.In respect to the practicability of Daily Life Application VR learning, the scores ranged from 0.724 to 0.759. The item with the highest practicability is Interactivity, which scored 0.759.In respect to the practicability of Problem Solving VR learning, the scores ranged from 0.718 to 0.766. The item with the highest practicability is Interactivity, which scored 0.766.In respect to the practicability of Sensory Learning VR learning, the scores ranged from 0.703 to 0.750. The item with the highest practicability is Interactivity, which scored 0.750.
4.3 STEAM Competency Assessment Criteria and VR-Assisted Learning Planning
According to the above-mentioned expert consultation and fuzzy Delphi analysis results, the “Learning Effectiveness of STEAM Skills Questionnaire” is developed, and “STEAM VR Assisted Learning Activities” are planned, which are described as follows:
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1.
Learning Effectiveness of STEAM Ability Questionnaire
In order to understand students’ learning status of STEAM skills, the “Learning Effectiveness of STEAM Skills Questionnaire” is developed, which includes 5 dimensions: cross-domain, hands-on, life application, problem solving, and five sense learning. This research invites two experts and scholars to test the expert validity of the questionnaire, evaluate the validity of the initial draft of the questionnaire, and revise it according to the suggestions. In terms of reliability analysis, after the inconsistent items are deleted, as shown in Table 5, which has 21 questions in total. The overall Cronbach's alpha value of “Learning Effectiveness of STEAM Skills Questionnaire” is .861; among them, there are 3 questions (.860) in the “cross-domain” dimension, 4 questions in the “hands-on” dimension (.882), and 4 questions in the “life application” dimension (.821), 5 questions (.875) in the “problem solving” dimension and 5 questions (.840) in the “Five Senses Learning” dimension, which indicates that this questionnaire has good reliability and high consistency.
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2.
STEAM VR assisted learning activity planning
Taking the auxiliary teaching material “STEAM VR Smart Greenhouse” as an example, this research carries out STEAM curriculum design and VR-assisted teaching in accordance with the course objectives, course content, and expert advice of the “Smart Greenhouse” unit, and plans three-stage auxiliary learning activities, “Teacher Show”, “Student Exercises” and “Student test”. As shown in Table 6, it can help students develop practical ability in smart greenhouse practice. The instructions are as follows:
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Teacher presentation stage: The teacher will show the teaching of “STEAM VR Smart Greenhouse” to let students understand the relevant functional design of the smart greenhouse and to develop their interest and curiosity in the field learning of the smart greenhouse in the future, and cultivate the students’ ability to apply what they have learned to the real field.
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Student practice stage: “STEAM VR Smart Greenhouse” assists students in their course of learning and provides students with hands-on practices and repeated exercises. Students can explore the knowledge of smart greenhouses, construct knowledge and understand the principles. “STEAM VR Smart Greenhouse” also strengthens students’ hands-on practical ability.
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Student test phase: This research plans the “STEAM VR Smart Greenhouse” student test to assist them in the ability verification, including smart greenhouse category selection, artificial lighting system, ventilation system (the right photographs in Table 6), inner shading system (the left photographs in Table 6), and sprinkler system, as a reference basis to examine whether students are qualified for the practical examination of the smart greenhouse.
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5 Conclusion and Suggestions
This study adopted VR technology in assisting STEAM ability cultivation and learning environment scheduling. After investigations and analysis of the Fuzzy Delphi expert questionnaires, in regard of building emphasis in the five STEAM abilities with the aid of VR technology, the highest scoring item is “Hands-on Skills”, followed by “Problem Solving”, “Daily Life Application”, “Sensory Learning” and “Interdisciplinarity”. Among the items, for the practicability of the featured VR-aided “Hands-on Skills” education, the highest scoring element is “Interactivity”, followed by “Engagement” and “Imagination”. By this means, this study serves as a reference for future educators and researchers in scheduling students’ STEAM ability cultivation, as well as interdisciplinary studying and developments.
References
Chung, C.-C., Huang, S.-L., Cheng, Y.-M., Lou, S.-J.: Using an iSTEAM project-based learning model for technology senior high school students: Design, development, and evaluation. Int. J. Technol. Des. Educ. 10, 1–37 (2020). https://doi.org/10.1007/s10798-020-09643-5
Adkins, S.S.: The 2016–2021 Worldwide Self-Paced eLearning Market: Global eLearning Market in Steep Decline. Ambient Insight, Monroe, WA (2016)
Lou, S.J., Liang, C.P., Chung, C.C.: Effectiveness of combining STEM activities and PBL: a case study of the design of fuel-efficient vehicles. Int. J. Eng. Educ. 33(6), 1763–1775 (2017)
Chung, C.C., Lin, C.L., Lou, S.J.: Analysis of the learning effectiveness of the STEAM-6E special course-a case study about the creative design of IOT assistant devices for the elderly. Sustainability 10(9), 1–16 (2018)
Huang, C.Y., Lou, S.J., Cheng, Y.M., Chung, C.C.: Research on teaching a welding implementation course assisted by sustainable virtual reality technology. Sustainability 12(23), 10044 (2020). https://doi.org/10.3390/su122310044
Chung, C.C., Tung, C.C., Lou, S.J.: Research on Optimization of VR welding course development with ANP and satisfaction evaluation. Electronics 9(10), 1673 (2020)
Pease, S.: ARCADE: STEM + A = STEAM. ARCADE, 31(2) (2013). http://cargocollective.com/speasedesign/ARCADE-STEM-A-STEAM
Olshannikova, E., Ometov, A., Koucheryavy, Y., Olsson, T.: Visualizing big data with augmented and virtual reality: challenges and research agenda. J. Big Data 2(1), 1–27 (2015). https://doi.org/10.1186/s40537-015-0031-2
Burdea Grigore, C., Coiffet, P.: Virtual Reality Technology. Wiley-Interscience, London (1994)
Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., Mieno, H.: The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy Sets Syst. 55(3), 241–253 (1993)
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Chung, CC., Cheng, YM., Lou, SJ. (2021). Regarding the Virtual Reality Environment Design and Evaluation Based on STEAM Learning. In: Huang, YM., Lai, CF., Rocha, T. (eds) Innovative Technologies and Learning. ICITL 2021. Lecture Notes in Computer Science(), vol 13117. Springer, Cham. https://doi.org/10.1007/978-3-030-91540-7_12
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