2025 ASEE Annual Conference & Exposition

Student Flow State in VR/AR Module for First-Year Architectural Engineering & Construction

Presented at Architectural Engineering Division (ARCHE) Technical Session 2

Many first-year engineering students struggle with self-efficacy and continued interest because instruction focuses on the foundational and technical knowledge and skills needed to be an engineer, with few real-world scenarios and applications. Students’ beliefs that they lack capacity to complete required courses and diminishing interest contribute to ongoing student retention problems, including in Architectural Engineering and Construction (AE/C). Students’ self-efficacy and interest can be increased by showing engineering impacts on the real-world. However, classroom access to real-world examples can be challenging. Virtual and augmented reality (VR/AR) can enable access. Virtual/Augmented-Reality-Based-Discipline Exploration Rotations (VADERs) used real-world engineering examples to engage students in understanding the five subdisciplines of AE/C. To maximize the benefit of VR/AR, students’ immersion in these learning experiences is necessary.

The purpose of this study was to determine the extent to which students experienced a flow state in VADERs. Flow is absorption in an activity despite high level of task demands. Therefore, a high flow state means the VR/AR experience is not so difficult students can not complete the activities, and it is not so trivial that students are not engaged. The research questions were: What are the patterns in students’ self-reported flow states when using VADERs? How do these patterns compare with regards to students’ demographics and perceived difficulty of VADERs?

VADER-1 was implemented in AE/C introductory courses at an R1 Midwestern institution, R2 Southeast HBCU, and an R1 Southeast institution. Survey data were collected from 201 first-year AE/C students at the beginning of the semester and after completion of VADER-1. The Flow Short Scale (FSS), a 10-item measure of self-reported flow state, and questions regarding level of rotation difficulty were employed. Cluster analysis on the FSS data grouped students with similar flow states. Clusters were explored for student demographics characteristics and perceived difficulty of VADER-1.

Results reveal varying levels of flow absorption and fluency across five clusters. Three clusters, including 79% of the students, demonstrated that students agreed they experienced aspects of flow. While demographic differences amongst the clusters were not significant, there were differences according to perceived difficulty of the subdiscipline VR/AR activities.

Exploring students flow state through clustering was found to be useful in highlighting differences among students’ engagement in the VR/AR experience. Given the variation in engagement across student clusters, recommendations for the design and implementation of VR/AR experiences to ensure students’ greater flow state will be made.

Authors
  1. C. Elizabeth George University of Notre Dame [biography]
  2. Dr. Ece Erdogmus Clemson University [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025