Tracking Representational Flexibility Development through Speech Data Mining

Ke, Fengfeng; Moon, Jewoong; Sokolikj, Zlatko

doi:10.1109/fie44824.2020.9273818

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Auspicious claims championing the potential of VR for individuals with ASD are abundant in the literature of the past 25 years-from the earliest reports (e.g., Strickland, 1996;1997) to the most recent (Miller et al, 2019;Ke et al, 2020). However, "While it is apparent that VR has great conceptual potential, research and development are early on the road to making it a reality" Anagnostou, 2014, p. 2137).…”

Section: Discussionmentioning

confidence: 99%

A Process-Model for Minimizing Adverse Effects when Using Head Mounted Display-Based Virtual Reality for Individuals with Autism

Schmidt

Newbutt

Schmidt

et al. 2021

Front. Virtual Real.

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Interest in the use of virtual reality technologies for individuals with autism spectrum disorders has been increasing for over two decades. Recently, research interest has been growing in the area of head mounted display-based virtual reality technologies, thanks to increased availability and affordability. Affordances and theorized benefits of headset-based virtual reality for individuals with autism spectrum disorders are quite promising. However, very little attention has been given in the literature to implementation safety and ethics. This is a particular concern in light of documented adverse effects associated with headset-based virtual reality. To approach this gap, this article details how the authors approached the issue of minimizing adverse effects with related and overlapping methods, but from two separate, independent research sites—one in the United States and one in the United Kingdom. A structured within- and across-case analysis of the two independent studies was conducted to identify central implementation processes and procedures. Analysis resulted in development of a model for minimizing potential adverse effects of headset-based virtual reality for this population. We assert that our model could provide clarity in terms of design and implementation of headset-based virtual reality for individuals with autism spectrum disorders, guide implementations of future researchers and practitioners, and contribute to minimizing and controlling for potential adverse effects.

show abstract

Section: Discussionmentioning

confidence: 99%

A Process-Model for Minimizing Adverse Effects when Using Head Mounted Display-Based Virtual Reality for Individuals with Autism

Schmidt

Newbutt

Schmidt

et al. 2021

Front. Virtual Real.

View full text Add to dashboard Cite

show abstract

“…The inter-rater reliability between raters and algorithms yielded rho values less than 0.05. Ke et al ( 2020 ) combined a support vector machine (SVM) model with natural language processing techniques to analyze the intervention transcripts of autistic children and obtained an accuracy of 0.761. The approach could link children’s certain verbal utterances with predefined CT concepts.…”

Section: Literature Reviewmentioning

confidence: 99%

Predicting pre-service teachers’ computational thinking skills using machine learning classifiers

Jin

Cutumisu

2023

Educ Inf Technol

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Datasets for Artificial Intelligence in Education: The Case of Children with Neurodevelopmental Disorders

Bueno,

Thill

2023

Lecture Notes in Networks and Systems

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Tracking Representational Flexibility Development through Speech Data Mining

Cited by 4 publications

References 19 publications

A Process-Model for Minimizing Adverse Effects when Using Head Mounted Display-Based Virtual Reality for Individuals with Autism

A Process-Model for Minimizing Adverse Effects when Using Head Mounted Display-Based Virtual Reality for Individuals with Autism

Predicting pre-service teachers’ computational thinking skills using machine learning classifiers

Datasets for Artificial Intelligence in Education: The Case of Children with Neurodevelopmental Disorders

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