An Analysis of Mixed Reality as an Alternative form of Hands-on Fluid Power Instruction
Abstract
Fluid power education would benefit from the adoption of an alternative to traditional hands-on instructional methods. Hands-on education is invaluable because it offers students experience interacting with and controlling fluid power systems and components, but systems are typically space-consuming and expensive. The study sought to prove the viability of mixed reality (MR) as an alternative to traditional hands-on fluid power instruction through the creation of MR lab exercises. A summary of design methodology was created to demonstrate how virtual fluid power components were modeled and presented in a mixed reality environment. Data was collected from students enrolled at Purdue University who participated in traditional and mixed reality fluid power lab exercises. Student responses were expected to express a positive reception of mixed reality as a fluid power instructional tool. The study anticipated that utilizing mixed reality in a fluid power laboratory setting would increase student comprehension of fluid power concepts. Educational variables were limited by restricting testing to students within the advanced fluid power course of Purdue University’s Polytechnic Institute. Students in this course provided feedback that drew comparisons between traditional and mixed reality instructional methods. Labs were created to remain within the course schedule so as not to disrupt course curriculum. Data from Likert-type surveys were analyzed from pre- and post-lab questionnaires as well as student feedback from their experience after completing each mixed reality (MR) lab. Analysis showed that MR is a viable alternative to traditional hands-on instructional methods as students showed an increase in material comprehension of both fluid power components and concepts. Students perceived MR as a beneficial instructional tool but continued to show preference towards physical interactions with components. A combination of instructional methods is recommended.
Degree
M.Sc.
Advisors
Bravo, Purdue University.
Subject Area
Educational technology|Information Technology|Medicine|Pedagogy
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