RETRACTED ARTICLE: Human–Computer Interaction on IoT-Based College Physical Education

Che, Yong; Sivaparthipan, C. B.; Daniel, Joseph

doi:10.1007/s13369-021-05895-y

Cited by 15 publications

(7 citation statements)

References 36 publications

(36 reference statements)

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“…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.…”

Section: Cloudmentioning

confidence: 99%

Investigating popular topics for the integration of the internet of things in physical education: A content analysis in higher education

Quintero,

Valderrama,

Quiroga

2024

j. Sport Area

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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.

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Section: Cloudmentioning

confidence: 99%

Investigating popular topics for the integration of the internet of things in physical education: A content analysis in higher education

Quintero,

Valderrama,

Quiroga

2024

j. Sport Area

View full text Add to dashboard Cite

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“…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.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating human-computer interaction education based on active learning methods using the CRITIC and TOPSIS approach

Yin

Yin³

et al. 2023

Preprint

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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.

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“…The educational materials provided by the environment are very attractive and beneficial. Che et al 15 have focused on the development of AI‐grounded smart IoT wearable device for the enhancement and promotion of College Physical Education. The architecture presented in the study is composed of cloud‐based server along with the three layers of AI.…”

Section: Related Workmentioning

confidence: 99%

Assessing English teaching linguistic and artificial intelligence for efficient learning using analytical hierarchy process and Technique for Order of Preference by Similarity to Ideal Solution

Yin

Khan

Alharbi

et al. 2022

J Software Evolu Process

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The advancement in the field of artificial intelligence (AI) has revolutionized every field of life, including the learning of second languages. These intelligent devices are capable of effectively and efficiently utilizing the time and energy of both learners and teachers. Students can learn at their own pace and at their own skill level. They can learn and practice in an interactive and fruitful environment thanks to intelligent chatbots and voice assistants. Students no longer require humanized teachers as a result of the use of these new methodologies; instead, they can learn more effectively by interacting with computer‐assisted systems. With the integration of information and communication technology (ICT) and AI, new technologies like computer‐assisted language learning (CALL) and mobile‐assisted language learning (MALL) are playing a very crucial role in the learning of the English language. Due to the various AI‐based applications and technologies available, learners are unable to use the most valuable and effective ones. This paper focuses on the role of AI in the learning of the English language. The study will help learners in the selection of efficient and effective AI‐powered paradigms for the teaching and learning process of the English language. Various features have been selected from the identified ones, and then, on the basis of these features, different AI‐grounded paradigms for English learning are ranked using analytical hierarchy process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The alternative with the highest performance value is ranked at the top of all available alternatives, while the one with the lowest performance score is placed at the last.

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RETRACTED ARTICLE: Human–Computer Interaction on IoT-Based College Physical Education

Cited by 15 publications

References 36 publications

Investigating popular topics for the integration of the internet of things in physical education: A content analysis in higher education

Investigating popular topics for the integration of the internet of things in physical education: A content analysis in higher education

Evaluating human-computer interaction education based on active learning methods using the CRITIC and TOPSIS approach

Assessing English teaching linguistic and artificial intelligence for efficient learning using analytical hierarchy process and Technique for Order of Preference by Similarity to Ideal Solution

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