2022
DOI: 10.1111/jcal.12731
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Examining virtual reality as a platform for developing mental models of industrial systems

Abstract: Industrial systems can be complex and not intuitive to perceive. Therefore, students in technology and engineering programs can benefit from developing mental models of industrial systems during their journey in college. However, more often than not, these students do not have access to industrial facilities; thus, developing mental models for systems is a challenge. This paper examines the merit of an Immersive Virtual Reality (IVR) framework application in creating proper mental models for industrial systems… Show more

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Cited by 5 publications
(5 citation statements)
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“…The findings revealed that VR-based classes lead to a deeper understanding of the subject matter, offering a more realistic, dynamic, and engaging learning experience compared to traditional teaching methods. These results are consistent with similar studies [34][35][36][37]70]. The findings indicate that establishing a cognitive teaching and learning environment using VR leads to greater learning and knowledge retention among students compared to traditional teaching methods.…”
Section: Discussionsupporting
confidence: 92%
See 3 more Smart Citations
“…The findings revealed that VR-based classes lead to a deeper understanding of the subject matter, offering a more realistic, dynamic, and engaging learning experience compared to traditional teaching methods. These results are consistent with similar studies [34][35][36][37]70]. The findings indicate that establishing a cognitive teaching and learning environment using VR leads to greater learning and knowledge retention among students compared to traditional teaching methods.…”
Section: Discussionsupporting
confidence: 92%
“…More than 90% of the responses had indices between 6 and 7. These results present positive and relevant impacts on student satisfaction, engagement, and attractiveness rates, as indicated by similar studies [17,34,36,[69][70][71][72][73].…”
Section: Discussionsupporting
confidence: 76%
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“…Artificial intelligence in academia has evolved significantly, marking a pivotal moment in its development. Most prominent applications include grading and tutoring, analysing educational data, and using VR and AR technologies for immersive learning experiences and Generative AI and Large Language Models (LLMs) for generating text, translating languages, writing creative content, and answering questions (Slezaka et al, 2023). AIpowered apps have introduced a personalised teaching and learning process (Rudolph et al, 2023a) that identifies students' strengths, weaknesses, interests, and preferred ways of learning (Chan, 2023).…”
Section: Discussionmentioning
confidence: 99%