Model Proposal for Integrating VR/AR Technologies in Building Construction Project in Architecture Education During Covid-19

Guray, Tayibe Seyman; Kısmet, Burcu

doi:10.38027/iccaua2021159n2

Cited by 3 publications

(3 citation statements)

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“…Unlike our proposed study that integrates learning style element into the mobile VR and analyses its influences, this research focused on manipulating emotions, its impacts on knowledge retention, and high immersion as a potential technology in enhancing the influence of emotions. 28 Güray and Kısmet 29 proposed a model to integrate VR or AR (Augmented Reality) technologies in building construction education. Their proposed model highlighted the advantages of the creative use of VR/AR tools through integrating the Building Information Modelling tools in distance learning particularly during the Covid-19 pandemic conditions, but the VR/AR technology mentioned was not mobile supported and rather desktop based.…”

Section: Discussionmentioning

confidence: 99%

Post-pandemic e-learning: a pre-protocol to assess the impact of mobile VR on learner motivation and engagement for VARK learning styles

2022

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Background: The Covid-19 pandemic has resulted in an abrupt but accelerated shift to e-learning worldwide. Education in a post-pandemic world has to amalgamate the advantages of e-learning with important pedagogical goals associated with in-person teaching. Although various advanced technologies are present at our fingertips today, we are still unable to use their full potential in teaching and learning. In this regard, mobile VR technology is both cost-efficient, versatile and engaging for students. Developing countries have more smartphone users than developed countries, implying that developing countries, like Malaysia, should utilize mobile or cellphones more significantly. With that in mind, we propose here a pre-protocol to investigate learner motivation and levels of engagement for e-learning with smartphone-integrated VR, based on their VARK (Visual, Auditory, Read/Write, Kinesthetic) learning styles. Proposed methodology: This study intends to look into students from the same age group under the K-12 (particularly grade 9-12) belonging to STEM curriculum. The Google Cardboard VR set will be used as the prime technology for its affordability, easy build feature and variety of available vendors. A mixed-method (survey and activity log/tracking) for data collection is suggested to find the degree of engagement and motivation of the learners’ learning in the mobile VR-assisted e-learning context. The students will be taught a topic using the mobile VR and then be assessed through simple classroom quizzes to assess how well they grasped the concept. The data collected through activity logs (while teaching the topic in mobile VR) and questionnaires will be mapped to each individual learner and organized in a data repository. Further visualization, analysis and investigation will be performed using Smart PLS, Python or R language. Conclusions: The study aims to provide context for smartphone and software companies to develop technologies that could facilitate learner motivation and engagement during the post-pandemic state.

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Section: Discussionmentioning

confidence: 99%

Post-pandemic e-learning: a pre-protocol to assess the impact of mobile VR on learner motivation and engagement for VARK learning styles

2022

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“…to train construction workers in more accessible and safer environments (Pottle and Robertson 2018;Güray and Kısmet 2022). An example is the study conducted by Hong et al (Hong et al 2023) researchers assessed the impact of construction noise exposure on the productivity of masonry work, a labour-intensive sector.…”

Section: Robotic Constructionmentioning

confidence: 99%

“…Augmented Reality (AR) is a digitally augmented version of reality that combines physical and digital elements to create real-time interactive experiences (Chen et al 2019;Güray and Kısmet 2022;Nigam and C 2022). Gramazio Kohler's research group developed Augmented Bricklaying in 2020 to explore the manual construction of intricate brickwork through AR.…”

Section: Robotic Constructionmentioning

confidence: 99%

A Dataset for Training Machine Learning Models to Analyze Urban Visual Spatial Experience

Austern,

Yosifof,

Fisher-Gewirtzman

2023

eCAADe Proceedings

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The economic and social impacts of robotic construction in Architecture, Engineering, and construction (AEC) are hard to assess and quantify without physical in situ testing, which is expensive and time-consuming This paper presents a methodology for the simulation of robotic construction technologies, namely drones, in a human-machine cooperation (HMC) using virtual (VR) and augmented (AR) reality environments. The developed methodology for robotic construction has the potential to be applied before the start of construction and to use real, virtual and augmented environments for robotic construction simulations. The application of such simulation methodology allows to test HMC scenarios and has the potential to increase construction precision while predicting both construction duration and cost. We present a review of the literature on drone and hybrid automatic construction solutions, as well as VR and AR construction simulations. Then a HMC simulation methodology is proposed and detailed. Three cases of application of the methodology are presented testing different approaches and cooperation scenarios in robotic construction. These cases are: (i) a drone construction in a real environment, (ii) a VR robotic construction simulation and (iii) an AR HMC. The application cases assess how the developed methodology is applicable to a set of different types of simulations that include different criteria.

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Post-pandemic e-learning: a pre-protocol to assess the integration of mobile VR and its effect on VARK learning styles

2021

View full text Add to dashboard Cite

Background: The Covid-19 pandemic has resulted in an abrupt but accelerated shift to e-learning worldwide. Education in a post-pandemic world has to amalgamate the advantages of e-learning with important pedagogical goals associated with in-person teaching. Although various advanced technologies are present at our fingertips today, we are still unable to use their full potential in teaching and learning. In this regard, mobile VR technology is both cost-efficient, versatile and engaging for students. Developing countries have more smartphone users than developed countries, implying that developing countries, like Malaysia, should utilize mobile or cellphones more significantly. With that in mind, we propose here a pre-protocol to investigate learner motivation and levels of engagement for e-learning with smartphone-integrated VR, based on their VARK (Visual, Auditory, Read/Write, Kinesthetic) learning styles. Proposed methodology: This study intends to use a minimum sample of 30 students from the same age group under the K-12 (particularly grade 9-12) belonging to STEM curriculum. The Google Cardboard VR set will be used as the prime technology for its affordability, easy build feature and variety of available vendors. A mixed-method (survey and activity log/tracking) for data collection is suggested to find the degree of engagement and motivation of the learners’ learning in the mobile VR-assisted e-learning context. The students will be taught a topic using the mobile VR and then be assessed through simple classroom quizzes to assess how well they grasped the concept. The data collected through activity logs (while teaching the topic in mobile VR) and questionnaires will be mapped to each individual learner and organized in a data repository. Further visualization, analysis and investigation will be performed using Smart PLS, Python or R language. Conclusions: The study aims to provide context for smartphone and software companies to develop technologies that could facilitate learner engagement during the post-pandemic state.

show abstract

Model Proposal for Integrating VR/AR Technologies in Building Construction Project in Architecture Education During Covid-19

Cited by 3 publications

References 0 publications

Post-pandemic e-learning: a pre-protocol to assess the impact of mobile VR on learner motivation and engagement for VARK learning styles

Post-pandemic e-learning: a pre-protocol to assess the impact of mobile VR on learner motivation and engagement for VARK learning styles

A Dataset for Training Machine Learning Models to Analyze Urban Visual Spatial Experience

Post-pandemic e-learning: a pre-protocol to assess the integration of mobile VR and its effect on VARK learning styles

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