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College physical education system is an essential component of the national health plan. Promoting the technical and modernized construction of the physical education curriculum in colleges and universities is crucial to enhance higher education's science and performance. In this technological era, the Internet of Things (IoT) is used in physical e...
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... Fig. 5 says that artificial intelligence can provide solutions for students in practical problems for physical education technology development. Cloud service networking is a way of delivering device and internet benefits to the full. The excellent physical learning tools from different locations and colleges into physical education to build ...
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Citations
... On the other hand, the article by Che et al. (2021) discusses the interaction between humans and computers in physical education in IoT-based colleges. This research highlights the development of an artificial intelligence-based AI-IoTS system to enhance the interaction between humans and computers in the context of physical education. ...
... In the analysis of the results and findings from this journal article, the integration of the Internet of Things (IoT) in physical education is shown to have significant implications. Various studies, such as those described by Ding et al. (2020), Che et al. (2021), Hu et al. (2021), Guo and Sun (2021), and Wang and Wang (2023), highlight various aspects of using IoT technologies in enhancing physical learning experiences, activity monitoring, classroom management, and teaching resource management. This integrated approach not only facilitates interactive learning but also assists in improving teaching efficiency and classroom management, as well as promoting innovation in curriculum and resource management. ...
Background Problems: Advanced technologies, such as the Internet of Things (IoT), have played an increasingly important role in the development of physical education in higher education. Research Objectives: This study aims to conduct a content analysis of the use of IoT technology in physical education in higher education. Methods: Scopus and Web of Science databases were used to collect and analyse data for this study, with a total of 178 articles obtained, consisting of 104 articles (Scopus) and 74 articles (Web of Science). The final data used for this study consisted of 20 articles, as it only targeted the top five topics related to the internet of things (IoT) in physical education after being analysed using ScientoPy. Findings and Results: The analysis identified five main topics related to the application of the internet of things in physical education in higher education, including cloud, artificial intelligence, deep learning, big data, and virtual reality. The implications of these findings for the development of physical education in higher education are discussed in this study, emphasizing the importance of IoT technology integration in creating a more adaptive and responsive learning environment. Conclusion: The contributions of this research include providing deeper insights into how IoT technologies can be applied in physical education in higher education, as well as highlighting the potential to improve the effectiveness of learning and teaching in this area. The conclusions of this study emphasises the importance of continuing to develop innovations in the application of IoT technology in physical education in higher education in order to achieve a more efficient and competitive learning environment.
... Strictly controlling the experimental factors, provides an important condition for the reliability and correctness of the experimental results. See Table 3 for the treatment of experimental factors: According to the requirements of the experimental design, the experimental class uses different teaching schemes for teaching activities in each teaching unit, and the control class uses conventional teaching schemes for teaching, the two classes carry out staged assessments of teaching effects ( Figure 2 and Figure 3) [15]. To ensure that students can systematically and gradually master theoretical knowledge and basic technical skills in Unit 1, the "systematic learning" teaching mode is selected, this mode is mainly to accept learning, and students must be able to accept knowledge, remember and reproduce the knowledge imparted. ...
To better understand the research on how to improve the exercise of the college body aerobics curriculum, a method based on the equality of the half. By using the conditions in the theory of the difference between the variables to solve the selection problem in the multivariate experiment, it is equivalent to the design of the decision importance. Given the current situation of teaching aerobics in physical exercise at colleges and universities, an optimization of teaching aerobics is created. Through the test report, the relevant information has been identified. At this stage, there is no difference between the two groups in terms of skills and theoretical knowledge, but in self-exercise, the P value is less than 0.05, there is a difference, assuming that the New teaching has an important role in the development of students’ ideas. The goal is to use the best methods of teaching aerobics, solving the conflict between teaching hours and teaching methods of teaching aerobics for physical education in buildings colleges, and universities, and strive to make students get the best results in a limited time, thus making people attach importance to theoretical research and ideas of aerobics training.
... Based on VRML, the virtual teaching method was divided into two different approaches and presented a network teaching approach. The article (Che et al. 2021) is presented an AI-based IoT system for IoT-based HCI for learning. The presented system involves a cloud platform and three artificial intelligence (AI) stages. ...
With the ever-growing development of information technology, the education sector has adopted advanced technologies to improve this field. Various procedures based on human–computer interaction (HCI) can be applied to enhance the efficiency of interaction between humans and computers, especially in education. Active learning is one of the major technological fields that improve the usability of active learning. The implementation of HCI approaches such as project-based learning (PBL), active learning classrooms (ALCs), and multi-user virtual environments (MUVE) can improve students' learning capabilities and teachers' teaching skills, making education more effective. After studying different applications of HCI in active learning, this study aims to extract common features and identify the most efficient ones. For the evaluation process, we presented two techniques: Criteria Importance Through Inter Correlation (CRITIC) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select the most effective HCI approach among various options. We chose nine criteria along with ten alternatives and ranked them based on their performance scores. For assigning weights to criteria, we utilized the CRITIC strategy, while the TOPSIS technique was applied to rank the alternatives. In the proposed study, we identified that the alternative with the highest performance score is placed in first place, while the alternative with the worst performance score is placed at the bottom. The study concluded that the most efficient and effective approach was selected among various options, which can be used as a suggestion for decision-related issues and future directions.
... In addition, college students who are focused on long-term work earnings chose sluggish employment to reduce anxiety only with a high amount of social support, due to more pressure from friends, family, school and society. Contrary to earlier beliefs, this proves that social support does not help with job-related anxiety (Che et al. 2021;Ip et al. 2022). According to the data, there would be more college students if the minimum age were raised by just 1%. ...
This paper aims to describe the psychological crisis’s impact on college students in China. The present study has investigated the impact of the usage of digitalization, psychological crisis, employment and age on the college student in China. The study used annual time series data from 2005 to 2020 from provinces in China. This study adopts the Cup-FM test to estimate the long-term association between the variables. The study applied Cup-BC and by-FM estimations to calculate robust and reliable outcomes. The findings show that usage of digitalization and psychological crisis negatively impact college students, whereas employment and age positively impact the college student. Moreover, the result of the interaction term psychological crisis on the usage of digitalization, employment and age has positively impacted college students. The estimated results also provide important policy implications for the China region in designing an appropriate way forward for college students.
... These tools can assist students become considerably more engaged in their lessons and exercises. Che et al. (2021) have developed a system for college physical education by the utilization of the Internet of Things (IoT) and artificial intelligence (AI). The proposed system is the integration of cloud architecture and three AIgrounded smart layers. ...
New technologies, such as the Internet of Things (IoT) and human–computer interaction (HCI), have enabled a variety of tasks to be carried out quickly and effectively. Both of these technologies can be combined to improve physical education (PE) at the college level and at a higher level. The overall development and evolution of students depend on their participation in sports. Different intelligent and highly interactive platforms for the students’ PE-based education can be designed with the integration of IoT and HCI. The proposed study discussed a variety of methods for identifying athletes in images and videos while they are practicing. It was discovered that wearable and portable technologies that make it simple to maintain track of a player’s health during physical activity can be created using the IoT. The students can learn about physical activities in a customized learning environment using the smart IoT-grounded learning paradigm. They can impart important knowledge in a very upbeat way. Numerous qualities are found in the current literature after rigorous investigation, and the most significant ones are chosen for the decision-making process. For the purpose of rating the potential options according to the chosen characteristics, the study employed the graph theory matrix approach. The option with the highest permanent function value came in first and the one with the lowest value came in last. The current investigation has given consideration to offering a comprehensive overview of the data that is currently available on the subject of study. The study demonstrates many methods for analyzing literature, enabling students to create fresh perspectives on the topic.
... Based on VRML, the virtual teaching method was divided into two different approaches and presented a network teaching approach. The article [6] is presented an AI-based IoT system for IoT-based HCI for learning. The presented system involves a cloud platform and three artificial intelligence (AI) stages. ...
With the ever-growing development of information technology, the education sector has adopted advanced technologies to improve this field. Different procedures based on human-computer interaction (HCI) can be applied to the efficient interaction between humans and computers to enhance the productivity of computers in various fields, especially in education. Active learning is one of the major technological fields that improves the usability of active learning. With the implementation of HCI approaches such as project-based learning (PBL), active learning classrooms (ALCs), and multi-user virtual environments (MUVE), students’ learning capabilities and teachers’ teaching skills are improved and education becomes more effective. After studying different applications of HCI in active learning, the study proposed to extract common features and select the most efficient ones from them. For the evaluation process, we presented two techniques named Criteria Importance Through Inter Correlation (CRITIC) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) in order to select the most effective HCI approach among various options. We choose nine criteria along with ten alternatives and rank them based on their performance scores. For assigning weights to criteria, we utilized the CRITIC strategy, while the TOPSIS technique is applied for ranking the alternatives. In the proposed study, it is identified that the alternative with the highest performance score is kept in first place, while the alternative with the worst performance score is kept at the bottom. The study concluded that the efficient and effective approach was selected among various options, and it can be employed as a suggestion for decision-related issues and future directions.
... Second, "learning performance" refers to students appropriately improving their learning motivation based on their own learning experience, so as to enhance learning outcomes and achieve learning goals (Che et al., 2021;Schiff, 2021). Wang and Zheng (2021) pointed out an AI-based application plays an active role and has an effect on teaching concepts and teaching platform construction. ...
... The human-computer interaction experience (HCIE) refers to making it easier for students to use all kinds of information technology to accomplish their goals, which include creating students' positive human-computer interaction experience, ensuring they can easily navigate the site/device and find what they are looking for, and creating content that is understandable and accessible to them (Balakrishnan & Dwivedi, 2021;Che et al., 2021;Seo et al., 2021;Yang, 2021). Students' experience in using technology is an important key to the popularization and application of ICT skills that includes line pens, smart speakers, online games, interactive devices, robots, social media, virtual reality (VR), augmentation reality (AR), Internet of Things (IoT), etc. (Al-Said & Al-Said, 2020; Ehrenbrink & Möller, 2018). ...
... HCIE is a spontaneous LE-AITA learning method, and it emphasizes the selfarranged learning mode. Thus, it is related to self-directed learning attitude (Che et al., 2021;Xu et al., 2021 ;Zhou et al., 2021). Through self-directed learning, students can decide learning materials and learning methods according to their own needs or problems to be solved (Oberländer et al., 2020;Pillai et al., 2021;Rajabalee & Santally, 2020). ...
This research investigated 1,552 university students to explore the correlation between their learning effectiveness of artificial intelligence (AI) technology application and its influencing factors. The aim is to provide a reference for school planning and application of AI in information and communications technology (ICT) teaching. The results show that ICT self-efficacy (ICT-SE) has a significant direct effect, and human-computer interaction experience (HCIE) has a significant indirect effect on lLearning effectiveness of AI-based technology applications (LE-AITA). The impact model of university student ICT-SE and HCIE on LE-AITA exhibits a good fit. The recommendation is that Taiwan education improve the AI learning environment, provide a suitable platform for the use and development of educational technology, and create a seamless teaching and learning experience. We discuss influencing factors and provide suggestions for the development of AI education.
... The literature is consisted of several innovative concepts for the prediction of the vehicles' trajectories or the determination of the drivers' conditions, for instance, whether they are drunk [19]. There several instances for the IoV technologies, for example, edge/cloud computing [20][21][22], blockchain [23,24], sensor technologies [25], artificial intelligence (AI) [26][27][28][29][30] etc. These technologies are capable of exploring the most proper solutions required for providing reliability, security, and autonomy for vehicular networks [1]. ...
The evolution of technology has led to the appearance of smart cities. An essential element in such cities is smart mobility that covers the subjects related to Intelligent Transportation Systems (ITS). The problem is that the ITS vulnerabilities may considerably harm the life quality and safety status of human beings living in smart cities. In fact, software and hardware systems are more exposed to security risks and threats. To reduce threats and secure software design, threat modelling has been proposed as a preventive solution in the software design phase. On the other hand, threat modelling is always criticised for being time consuming, complex, difficult, and error prone. The approach proposed in this study, that is, Automated Security Assistant of Threat Models (ASATM), is an automated solution that is capable of achieving a high level of security assurance. By defining concepts and conceptual modelling as well as implementing automated security assistant algorithms, ASATM introduces a new approach to identifying threats, extracting security requirements, and designing secure software. The proposed approach demonstrates a quantitative classification of security at three levels (insecure, secure, and threat), twelve sub‐levels (nominal scale and colour scale), and a five‐layer depth (human understandability and conditional probability). In this study, to evaluate the effectiveness of our approach, an example with various security parameters and scenarios was tested and the results confirmed the superiority of the proposed approach over the latest threat modelling approaches in terms of method, learning, and model understanding.
... IoT comprises enabling communication between things and entities with humans within the framework of Internet services by availing components that ensure the distinction of each item through sensors and data transmission via networks with advanced speci cations and protocols (Ahmed, 2016;Al-Dahshan, 2019;Che, et al. 2021). ...
The article gauges Saudi universities’ readiness to integrate the Internet of things (IoT) in Knowledge Management (KM) and identifies the challenges relating to its use. A descriptive-analytical approach was used to discuss the concepts, development, and general structure that characterize the IoT and its related challenges and to find ways to address them. This study used a three-axis questionnaire, which was applied to 275 faculty members and information technology officials in Saudi universities.
The results revealed that a strategy related to the development of infrastructure and the provision of equipment and applications to deal with and analyze big data is needed, besides the conviction of the faculty and specialists in its potential in developing the teaching and learning environment in universities and providing unique research by interlinking the network of laboratories and research and training laboratories. The results also revealed that its effects on the university learning environment are gender, rank, and experience agonistic. Finally, 11 main criteria and 44 sub-applications were reached to manage the smart campus's information generated by IoT.
... In [7], IoT system powered by AI-IoTS is promoted through wearable technology. A Cloud Platform and 3 layers of AI make up this AI-IoT. ...
Physical education (PE) is a crucial topic in higher coaching that individually points motor abilities in health-enhancing activities. Conventional PE in institutions struggles to pique graduates’ attentiveness in sports, proceeding in low task involvements rates, and incapacity to exercise the body. Innovative teaching concepts and methodologies, coaching techniques and procedures, and coaching assessment techniques in physical education are all accompanied to developing the physical education study hall climate and successfully boosting physical education efficacy. Each element of regular living, especially education, is being influenced by wireless internet innovations. We will provide extra help to students by predicting academic endurance or dropout. We can improve the wireless platform’s potential utility in sports applications and change the character of PE, including visualization and repetition by incorporating it into PE teaching. Based on the concept of wireless network technology, this paper proposes an Improved Energy Efficient Scalable Routing Algorithm (IEESRA) for physical education advancement. Initially, the physical education dataset is preprocessed using normalization. The aspects are removed using the scale-invariant feature transform (SIFT) method. The data is transferred using a wireless network using Improved Energy Efficient Scalable Routing Algorithm (IEESRA). The classification is done using random forest (RF) classifier. The results of the analysis reveal that wireless network-based PE may increase graduates’ strength, speed, and qualities providing a more important reference and reference for enhancing the success of PE. The proposed strategy has the potential to enhance actual attention to PE teaching to 90% with raising students’ engagement to 70%.
