Virtual reality vs traditional education: Is there any advantage in human neuroanatomy teaching?

Cabrera, Mildred Vanessa López; Arriaga, José Gerardo Carrillo; Álvarez, Juan Pablo Nigenda; González, Ricardo Treviño; Elizondo-Leal, José Antonio; Valdez-García, Jorge E.; Carrión, Belinda

doi:10.1016/j.compeleceng.2021.107282

Cited by 21 publications

(25 citation statements)

References 7 publications

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“…These results show that students have found the application to be helpful in their learning process, as represented by their opinion on the "Paint areas" and "Selection tool" functionalities (mean above 4.44). This is in line with previous works, which found that the usage of virtual reality significantly improves test grades [17], since it helps students to better understand the threedimensional structures of the human brain [18], also improving their satisfaction and decreasing their reluctance to learn neuroanatomy [14].…”

Section: Resultssupporting

confidence: 91%

“…The benefits of the educational application of VR systems have been extensively studied before: Schloss et al [12] included audio to narrate information as part of guided VR neuroanatomy tours, and Stepan et al [13] used computed tomography and highlighted the ventricular system and cerebral vasculature to create a focused interactive model. Several different technologies have also been used to produce educational VR experiences, including the origin of the presented anatomical data (magnetic resonance [14], dissection [15]), the hardware which runs the applications (HTC Vive [16], Dextrobeam [17]), or the software which presents the simulation (virtual presentations [18], fully interactive applications [19]). All works however agree that allowing students to study anatomical models in an interactive virtual environment greatly improves their understanding of the matter.…”

Section: Related Workmentioning

confidence: 99%

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Teaching the Virtual Brain

et al. 2022

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As a complex three-dimensional organ, the inside of a human brain is difficult to properly visualize. Magnetic Resonance Imaging provides an accurate model of the brain of a patient, but its medical or educational analysis as a set of flat slices is not enough to fully grasp its internal structure. A virtual reality application has been developed to generate a complete three-dimensional model based on MRI data, which users can explore internally through random planar cuts and color cluster isolation. An indexed vertex triangulation algorithm has been designed to efficiently display large amounts of complex three-dimensional vertex clusters in simple mobile devices. Feedback from students suggests that the resulting application satisfactorily complements theoretical lectures, as virtual reality allows them to better observe different structures within the human brain.

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Section: Resultssupporting

confidence: 91%

Section: Related Workmentioning

confidence: 99%

Teaching the Virtual Brain

et al. 2022

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“…ML has infiltrated many other sectors, including medical, pharmacy, law, business, finance, art, agriculture, photography, sports, education, media, military, and politics, due to the ability to make choices or predictions based on data. The wide spectrum of applications under HSD covers intelligent tutoring [115], virtual reality [124], medical diagnosis [125], automobile industry [126], robotics [127], and decision support [128].…”

Section: E Applicationmentioning

confidence: 99%

A Systematic Literature Review on Machine Learning Algorithms for Human Status Detection

2022

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Human status detection (HSD) is important to understand the status of users when interacting with various systems under different conditions. Recently, although various machine learning algorithms have been applied to analyze and detect human status, there are no guidelines to utilize machine learning algorithms to analyze physical, cognitive, and emotional aspects of human status. Therefore, this study aimed to investigate measures, tools, and machine learning algorithms for HSD by applying a systematic literature review method. We followed the preferred reporting items for systematic reviews and metaanalysis (PRISMA) model to answer three research questions related to the research objective. A total of 76 articles were identified using two hundred keyword combinations addressing topics under HSD in the fields of human factors and human-computer interaction (HCI). The results showed that research on HSD becomes important in industrial systems, focusing on how intelligent systems based on machine learning (ML) differ from earlier generations of automated systems, and what these differences necessarily imply for HCI to design and evaluation. The tools used to collect data for HSD on different parameters are broadly discussed. Recent HSD studies seem to focus on cognitive load and emotion, whereas prior studies have focused on the detection of physical effort. This research assists domain researchers in identifying HSD approaches using different ML algorithms that are suitable for use in their research.

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“…Цифровой формат обучения -это не только использование цифровых технологий для дистанционного (удаленного) обучения, сюда же относятся и различные цифровые тренажеры, шлемы и очки виртуальной реальности [18], игровые симуляции и т. д. Цифровой формат обучения это использование цифровых технологий с учетом их природы и возможностей для создания специфической среды обучения. Цифровые технологии создают условия, которые отличаются от традиционных в процессе обучения: возможность обучаться удаленно, повышение уровня учебной автономии и ответственности, утрата ценности «энциклопедического запоминания», усиление практической составляющей за счет симуляции профессиональной среды (например, виртуальные операционные для студентов медиков [19]) и т. д. Последние эксперименты хотя и демонстрируют с одной стороны чрезмерную когнитивную нагрузку студентов при использовании виртуальной реальности в процессе обучения [20], но с другой стороны демонстрируют более высокие учебные результаты [21]. Возникает необходимость в адекватном использовании преподавателями не только цифровых технологий, как средств обучения, но и пересмотра всей педагогической парадигмы.…”

Section: цифровой университет как формат обученияunclassified

Digital university as an integrative methodological construct

Neborsky

2021

World of Science. Pedagogy and psychology

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The coronavirus pandemic has actualized the digital transition of universities. At the same time, it introduced an element of chaos. Educational policy also played a role here. At this stage, there is a contradiction that has arisen between the fragmentation of interpretations and the need to develop a digital university model. This determines the need for structuring the methodological construct of a digital university, which will allow developing not only a theoretical methodology that allows more focused theoretical and applied research, but also a practical methodology that makes it possible to more rationally structure a set of techniques and tools to achieve the goal of practical implementation of the digital transformation of universities and higher education. The author of the article formulated the methodological construct of a digital university as an integrative phenomenon. A digital university is a combination of four interdependent elements: a teaching format; digital environment; digital resources; digital platform. The digital format is a form of combining digital technologies (in what form the interaction takes place) and at the same time content (which is an act of interaction, the content itself). The digital environment is a space, a place (where interaction takes place). Digital resources are tools for activating the idea of a digital university (what the participants use). A digital platform is an algorithm, a way to implement the idea of a digital university (how interaction is embodied) and, at the same time, a platform for interaction (within which structure the interaction takes place). The article shows that a digital university cannot be interpreted solely as a twin of a "physical" university, since digital technologies allow creating new conditions, making changes in the real environment, organizing processes, both teaching and management. At the same time, the "physical" university, existing in the real, not the virtual world, is a whole space in which technical and human resources are placed. In other words, it is impossible to talk about the concept of a digital university only from the standpoint of the digital (virtual) world, or from the standpoint of only the technical infrastructure.

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Virtual reality vs traditional education: Is there any advantage in human neuroanatomy teaching?

Cited by 21 publications

References 7 publications

Teaching the Virtual Brain

Teaching the Virtual Brain

A Systematic Literature Review on Machine Learning Algorithms for Human Status Detection

Digital university as an integrative methodological construct

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