Efficacy of AR Haptic Simulation for Nursing Student Education

Bektic, Meldin; Tischler, Adam; Fahey, Nathaniel; Kim, K.; Onesko, Lisa

doi:10.1109/biosmart54244.2021.9677828

Cited by 2 publications

(4 citation statements)

References 17 publications

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“…Two studies ( [56] and [73]) are not included in Table 10, as their authors did not report Mean and SD in their findings, 2021 Mobile application with AR Quasi-experimental [73] 2021 AR-enabled smartphone application Quasi-experimental [106] 2021 AR Qualitative [77] 2021 Mobile application with VR and haptics RCT [79] 2021 Multimodal RCT [113] 2021 Haptics desktop system Qualitative [117] 2021 VR with haptics Qualitative [119] 2021 VR with haptics Qualitative [118] 2021 AR application with haptics Qualitative [75] 2021 3D holograms Quasi-experimental [115] 2021 XR smart glasses Qualitative [109] 2021 MR and holograms Qualitative [112] 2022 MR and holograms Qualitative [105] 2022 AR with holograms Qualitative [93] 2022 AI Desktop system Qualitative [78] 2022 Haptics RCT [104] 2022 AR Desktop system Qualitative [72] 2022 AR-enabled smartphone application Quasi-experimental [88] 2022 VR Desktop system Qualitative [62] 2022 Mobile chatbot RCT [63] 2022 AI chatbot Quasi-experimental [64] 2022 AI chatbot Quasi-experimental [92] 2022 AI chatbot Qualitative [54] 2022 Mobile application Quasi-experimental [60] 2022 [48] 2022 Desktop 3D system Quasi-experimental [57] 2023 Interactive mobile application Quasi-experimental [68] 2023 An app incorporating VR RCT [121] 2023 AI system Qualitative [74] 2023 AR mobile application RCT [70] 2023 AR enabled system RCT [111] 2023 MR and holograms Qualitative [114] 2023 Multimodal Qualitative [44] CAI system Nursing care of diabetic pregnant patients.…”

Section: B Methodological Quality Of the Included Studiesmentioning

confidence: 99%

“…Nevertheless, the game's usability was rated medium due to technical issues such as objects appearing unexpectedly on the screen, causing confusion and frustration for some participants [117]. An AR application with haptics was developed to educate student nurses about oedema (which causes body tissue swelling) by [118]. The AR headset is supported by "Magic Leap", which presents oedema on a leg, and a haptic device supported by "Geomagic Touch".…”

Section: ) Multimodal Systemmentioning

confidence: 99%

“…Although it was seen as an exciting concept by nursing students, according to the authors, the object's texture cannot be transmitted via haptic devices. Also, some concerns about the physical characteristics of the hardware, such as headset weight, were seen as a limitation [118]. A VR simulation with haptics, called "Leopold's Manoeuvres VR", to monitor fetus development by palpating a "human abdomen" was developed by [119].…”

Section: ) Multimodal Systemmentioning

confidence: 99%

“…[117] VR (with haptics) For urinary catheterisation practices. [118] AR application with Haptics Condition recognition (Edema). [119] Haptics(with VR) Monitor fetus development.…”

Section: F Unexpected Findingsmentioning

confidence: 99%

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Digital Transformation in Nursing Education: A Systematic Review on Computer-Aided Nursing Education Pedagogies, Recent Advancements and Outlook on the Post-COVID-19 Era

Dicheva,

Rehman,

Anwar

et al. 2023

IEEE Access

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The COVID-19 pandemic has transformed nursing education worldwide. Due to the globally applied restrictions of interpersonal interactions, many educational institutions transitioned from traditional to computer-aided nursing education pedagogies. However, an obligatory change, this digital transformation in nursing education, has been deemed promising by students and academics, yet raising concerns about the effectiveness of innovative nursing pedagogies. Hence, this systematic literature review aims to investigate the state of the art of computer-aided nursing pedagogies in the post-COVID-19 era and provide recommendations for further research investigation. Specifically, it utilises a mixed methods approach to examine (1) the evolution of computer-aided nursing pedagogies before and after COVID-19; (2) their effectiveness against traditional methods in terms of knowledge, skills acquisition and self-efficiency; and (3) nursing students' experiences and opinions when exposed to computer-aided nursing education pedagogies. For this purpose, several databases (PubMed, MEDLINE, CINAHL Complete, Academic Search Elite, IEEE, ACM, Scopus, ERIC and Cochrane Library (Controlled trial requests) were searched, initially retrieving 802 articles published between 2013-2023. After removing duplicates, exclusion criteria and assessment for eligibility, the number of articles assessed for eligibility was reduced to 78 conducted in 20 different countries. The articles comprised quantitative research (n=37), including Randomised Control Trials (n=14) and Quasi-experimental studies (n=23), and qualitative research (n=41) including observational studies (n=14), mixed-methods methodological design (n=15), pilot studies (n=7) and conference papers (n=5). Moreover, this SLR utilised the Joanna Briggs Institute (JBI) methodological approach for conducting a mixed-methods systematic review (MMSR) and provided a narrative synthesis of all studies. The results of this mixed-methods SLR suggested that the post-COVID-19 era has enabled the implementation of a variety of computerised systems in nursing education, including desktop-based systems, mobile applications, Virtual Reality, Augmented Reality, Mixed Reality and holograms, haptics, Artificial Intelligence-enabled chatbots and systems, smart glasses and multimodal systems. The authors found that these computer-aided nursing education pedagogies were superior to traditional nursing pedagogies regarding acquiring knowledge, skills, and self-efficiency. However, the generalisability of the above findings should be interpreted with caution due to variations in sample size and effect size established via Hedges' g calculations among the 35 quantitative articles. Nevertheless, nursing students' experiences and opinions were encouragingly positive. Further research is needed to incorporate more realistic and memorable scenarios and examine the effects of computer-aided nursing educational pedagogies on long-term knowledge gains and the effective learning domain.

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Section: B Methodological Quality Of the Included Studiesmentioning

confidence: 99%

Section: ) Multimodal Systemmentioning

confidence: 99%

Section: ) Multimodal Systemmentioning

confidence: 99%

“…[117] VR (with haptics) For urinary catheterisation practices. [118] AR application with Haptics Condition recognition (Edema). [119] Haptics(with VR) Monitor fetus development.…”

Section: F Unexpected Findingsmentioning

confidence: 99%

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