Virtual Reality Simulation: Effects on Academic Performance Within Two Domains of Writing in Science

Lamb, Richard; Etopio, Elisabeth; Hand, Brian; Yoon, Sae Yeol

doi:10.1007/s10956-019-09774-y

Cited by 36 publications

(15 citation statements)

References 40 publications

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“…They emphasized that for developing online instructional interaction and participation, teachers and learners need to “find their place within the spaces that have been created” (p.13). Exploring the impact of VR on writing skill, Lamb et al (2019) reported the affordance of enhanced summative and argumentative writing products among learners who received intervention by VR environment. They reported higher lexical density and writing complexity with as a result of practicing writing by VR.…”

Section: Resultsmentioning

confidence: 99%

“…Lamb et al (2019) highlighted the need to distinguish between writing tasks that develop learners’ reasoning skills, understanding of the rationale for writing, and inquiry methods. One of the challenges ahead of designers and teachers is to consider developing learners’ reasoning skills by encouraging them to practice writing while putting together meaning and thought and deliver it individually/collaboratively (Lamb et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

“…Lamb et al (2019) reported the challenge of investigating various ways of meaning making (e.g., linguistic, spatial, gestural, audio, and visual) within VR environment. Some studies (Erlandson, et al, 2010; Liu and Tsai, et al, 2013) have reported a number of challenges that need to be addressed in future VR environment studies (e.g., to overcome lack of flexibility in design and integration of educational material, functionality issues, etc.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Affordances and challenges of teaching language skills by virtual reality: A systematic review (2010–2020)

Bahari

2021

E-Learning and Digital Media

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The emergence of newer educational technologies provides opportunities for computer-assisted language learning practitioners and software developers to capitalize on the affordances for the second language (L2) learning purposes. This article explored and brought together the reported affordances and challenges of virtual reality to teach the L2 receptive and productive skills by reviewing seventy-five peer-reviewed articles published from 2010 to 2020. The results revealed an imbalanced trend of research on language skills learning by virtual reality tools and affordances in favor of listening and speaking skills compared to reading and writing skills. The obtained data were tabularized in terms of language skills. The results were visualized by hierarchical database formats. Pedagogical implications of the study inform teachers about affordances available to teach L2 skills in educational virtual reality environments toward a more digitally enhanced L2 pedagogy. Theoretical implications of the study inform researchers about the challenges that need to be addressed.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Affordances and challenges of teaching language skills by virtual reality: A systematic review (2010–2020)

Bahari

2021

E-Learning and Digital Media

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“…In both contexts, the young child is exposed to experiences that may not be available in the real world. For example, in one educational context children were placed in an undersea environment and allowed to interact with jellyfish and sea turtles (Lamb et al, 2019;Lamb & Etopio, 2019b). In a counseling context, a child who was refusing to attend school because of anxiety was able to virtually walk through the actual school before the first day of school (Adjorlu et al, 2018).…”

Section: Xr-ready Computermentioning

confidence: 99%

Therapeutic extended reality.

Lamb¹,

Etopio²

2021

Play Therapy With Children: Modalities for Change.

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Extended reality (XR) is an umbrella term that combines several types of constructed reality technologies-virtual reality, augmented reality, and mixed reality-that allow the user to control the level of immersion into virtual environments. Virtual reality (VR) is a completely computer-generated simulated environment in three dimensions with which a person can interacted in a seemingly real and physical way using a specialized set of goggles with a screen inside of it as well as other electronic equipment, such as gloves and sensors. In augmented reality (AR), computer-generated information (e.g., data about a building or a person) is superimposed on the user's view of the real world. Mixed reality (MR) is the merging and coexisting of real-world objects and computer-generated objects for the purposes of interacting in real time. Taken together, these multiple forms of generated realities form a continuum of immersion (see Figure 15.1). These forms of XR are potentially important tools counselors can use to engage both children and adults in therapeutic settings. This chapter addresses the potential therapeutic uses and clinical applications of XR. The chapter concludes with a short case study that illustrates the use of XR with a child.

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“…An ANN is the computational aspect of this study's model. Specific information for the way the CM in this study was developed can be examined in a series of papers (Lamb et al, 2018;Lamb et al, 2012;Lamb et al, 2019). The ANN in combination with the derived model approximates the design of human cognitive systems which are often non-linear and engaged in parallel processing (Berger et al 2012).…”

Section: Computational Models and Artificial Neural Networkmentioning

confidence: 99%

Computational Modeling of the Effects of the Science Writing Heuristic on Student Critical Thinking in Science Using Machine Learning

2020

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This study is intended to provide an example of computational modeling (CM) experiment using machine learning algorithms. Specific outcomes modeled in this study are the predicted influences associated with the Science Writing Heuristic (SWH) and associated with the completion of question items for the Cornell Critical Thinking Test. The Student Task and Cognition Model in this study uses cognitive data from a large-scale randomized control study. Results of the computational model experiment provide for the possibility to increase student success via targeted cognitive retraining of specific cognitive attributes via the SWH. This study also illustrates that computational modeling using machine learning algorithms (MLA) is a significant resource for testing educational interventions, informs specific hypotheses, and assists in the design and development of future research designs in science education research.

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Virtual Reality Simulation: Effects on Academic Performance Within Two Domains of Writing in Science

Cited by 36 publications

References 40 publications

Affordances and challenges of teaching language skills by virtual reality: A systematic review (2010–2020)

Affordances and challenges of teaching language skills by virtual reality: A systematic review (2010–2020)

Therapeutic extended reality.

Computational Modeling of the Effects of the Science Writing Heuristic on Student Critical Thinking in Science Using Machine Learning

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