2023
DOI: 10.3390/electronics12040835
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Gamified Learning and Assessment Using ARCS with Next-Generation AIoMT Integrated 3D Animation and Virtual Reality Simulation

Abstract: In higher education institutions (HEI), particularly in biology and medical education, the use of 3D animation, virtual reality, and simulation offers great potential in terms of enhancing learning and engaging students. Higher education researchers are still investigating virtual reality’s possibilities and outcomes in various fields. This study focuses on the effects of 3D gamification using an Artificial Intelligence integrated Internet of Medical Things (AIoMT) implemented with virtual reality application … Show more

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Cited by 14 publications
(12 citation statements)
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“…Simulations and serious games, grounded in experiential learning theory, immerse learners in dynamic environments, fostering decision-making and problem-solving skills. Integrating artificial intelligence with learning analytics provides data-driven knowledge for training improvement by analysing the performance and preferences of training companies' customers (Kumar, et al, 2023). The convergence of rigorous scientific research and technological innovation promises a more informed and transformative landscape for the training market (Li, et al, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…Simulations and serious games, grounded in experiential learning theory, immerse learners in dynamic environments, fostering decision-making and problem-solving skills. Integrating artificial intelligence with learning analytics provides data-driven knowledge for training improvement by analysing the performance and preferences of training companies' customers (Kumar, et al, 2023). The convergence of rigorous scientific research and technological innovation promises a more informed and transformative landscape for the training market (Li, et al, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…The coefficient matrix G in the above equation is completely determined by the keyton 0 P when 1 t = , () (7) can be found in the keyton 1 P , at this time, the system of hyper-definite equations is compatible, and its least squares solution is equivalent to the general sense of the solution, but in the intermediate frame of the mesh model in the (0,1) t  when solving () Xt, the system of hyper-definite equations is an incompatible system of contradictory equations, if the transformation matrix G columns of the full rank, then there is a unique minimum solution. Otherwise, we can increase the constraints, such as seeking its very small paradigm solutions The actual calculation can be done with the help of MATLAB constrained least squares function.…”
Section: System Of Hyperdefinite Equations To Solve Intermediate Fram...mentioning
confidence: 99%
“…It is accompanied by computer hardware and graphics algorithms and high-speed development of high-tech; it makes comprehensive use of computer science, art, mathematics, physics and other related disciplines of knowledge on the computer to generate colorful, continuous virtual real pictures to provide people with a full display of personal imagination and artistic talent of the new world [3][4][5]. It has been widely utilized in various areas of national economy and social life and has resulted in significant economic and social benefits [6][7].…”
Section: Introductionmentioning
confidence: 99%
“…Abhishek Kumar et al [24] introduced the Artificial Intelligence integrated Internet of Medical Things (AIoMT) for medical students to learn about the human brain using 3D animation with virtual reality technology. The effects of VR on student engagement and performance in the classroom are investigated here using structural equation modelling (SEM) and the ARCS model.…”
Section: Related Studymentioning
confidence: 99%
“…This study compared the results with a traditional method of reconstruction that relies on direct linear transformation to see how accurate it was. The performance of the recommended 2D-AI-BM model has been examined based on metrics like accuracy, motion control, pose detection, computational efficiency, and scalability ratio compared to existing methods DTC [19], DCNN [21], and AIoMT [24].…”
Section: Simulation Findingsmentioning
confidence: 99%