RETRACTED: Independent and innovative learning of gymnastics teaching based on computer interaction

Zeng, Linye; Wang, Yonghua

doi:10.1177/0020720920984325

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…Based on iSocial, a threedimensional collaborative game for social ability development-a verbal and nonverbal interaction test driven by virtual images of autistic learners-shows that social theory and cluster analyses appear to be effective in identifying unique patterns of verbal and nonverbal interactions involving different levels of concrete social existence [58]. Specifically, the effectiveness of various forms of educational equipment and their applications, such as Chatterbot [59,60], digital games [61][62][63] and computer-mediated communication [64], mainly benefits from effective integrated analysis technologies such as data mining [65,66] and machine learning [67]. These technologies enable us in conducting a profound study on regular education patterns in massive data and building relevant prediction models.…”

Section: Co-occurrence Analysis On Abstractmentioning

confidence: 99%

Research Landscape of Adaptive Learning in Education: A Bibliometric Study on Research Publications from 2000 to 2022

et al. 2023

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Adaptive learning is an approach toward personalized learning and places the concept of “learner-centered education” into practice. With the rapid development of artificial intelligence and other technologies in recent years, there have been many breakthroughs in adaptive learning. Thus, it is important to gain insight into the evolution of related research and to track the research frontiers to further promote its development. This study used CiteSpace and VOSviewer to conduct a bibliometric analysis of 644 adaptive learning journal papers indexed in the WoS database from 2000 to 2022. This study presented a general view of the field of adaptive learning research over the last two decades using quantitative analysis. Currently, adaptive learning research is rapidly developing. In terms of the major research forces, a core group of authors including Qiao J. F., Han H. G. and Song Q has been formed; the major publishing country in this field is China; the core publishing journals include IEEE Transactions on Neural Networks and Learning Systems. Four major research topics in this field were identified using cluster analysis, namely the application of deep learning in educational data analysis, the development and application of adaptive learning model in AI education, the development and application of intelligent tutoring system in tutoring and teaching, cutting-edge modeling technology for feature modeling and knowledge tracing. Through evolution analyses, the logic of adaptive learning research’s development was determined; that is, technological changes have played a key role in the development of this field. Following the logic, we presented three frontiers of adaptive learning with burst terms: feature extraction, adaptation model and computational modeling. Adaptive learning is a core research topic for both computer science and educational technology disciplines, and it is also an important field where emerging technologies empowering education and teaching can play a part. The findings of the study clearly presented the current research status, evolutionary logic and research frontiers of this topic, which can provide references for the further development of this research field.

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Section: Co-occurrence Analysis On Abstractmentioning

confidence: 99%

Research Landscape of Adaptive Learning in Education: A Bibliometric Study on Research Publications from 2000 to 2022

et al. 2023

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“…In order to describe the skeleton model more accurately and concisely, according to the basic division of body parts, 20 joint points are generally selected as the basic elements of the 3D skeleton model. These 20 joints correspond to the numerical numbers from 1 to 20, which are: right shoulder (1), left shoulder (2), the center of both shoulders (3), spine (4), right hip (5), left hip (6), the center of the hip (7), right elbow joint (8), left elbow joint (9), right wrist joint (10), left wrist joint (11), right hand (12), left hand (13), right knee (14), left knee (15), right ankle (16), left ankle (17), right foot (18), left foot (19), head (20).…”

Section: Human Skeleton Modelmentioning

confidence: 99%

“…In the traditional teaching of aerobics, the main emphasis is on the complete mastery of the student's sets of movements and fitness. Teachers are prone to ignore the learning of their physique and movement awareness, and students can not do independent learning and lack of sense of experience, especially emotional experience, which can easily lead to the students ignoring the feeling of the beauty of the movement [12][13]. Students in aerobics exercise can not feel the beauty of aerobics movement technology.…”

Section: Introductionmentioning

confidence: 99%

Research on Artificial Intelligence Data Based on Image Texture Characterization and Aerobics Teaching Mode in Colleges and Universities

Song

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, we first studied the action recognition method based on image texture features, established a human body model, and realized the extraction of skeletal data and joint calibration. Based on the skeleton information, the aerobic movements are recognized, the difference between the aerobics movement sequence and the standard movement sequence is calculated, and the movements are scored. Then, the database for aerobic movements was established, and an AI-assistant aerobics teaching model was developed. Finally, the effect of the teaching method was analyzed through indicators of recognition effect, skill impact, and students’ learning interests. The results show that the accuracy of the system’s action recognition reaches 95%, and the overall response time is between 5.2-6.4s, with high real-time performance. And it has a significant effect on students’ movement participation, active interest, and independent learning behavior, with p-values of 0.013, 0.041, and 0.036, respectively, p<0.05. This study promotes the development and innovation of aerobics, which can scientifically adjust training countermeasures and enhance the skill level of aerobics athletes.

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“…The literature [27][28] mentions that students' learning interests and abilities are as important for education as the content education of the subject. Literature [29], [30] suggested relevant methods the comprehensiveness of information promotes innovative learning, reduces the period of information transformation and understanding by students, and child-oriented learning perception and emotional perception in the process of being educated.…”

Section: Introductionmentioning

confidence: 99%

Research on practical teaching of Ideological and political education based on VR technology in the information age

Zhang

2023

Applied Mathematics and Nonlinear Sciences

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With the popularity and maturity of VR technology, maximizing the utility advantages of relevant technologies and teaching projects has become a new topic. Because of the current era of science and technology’s best ideas, relevant methods of Ideological and political education learning have become richer in form and connotation. In order to make relevant methods better, true adoption experimental teaching of Ideological and political education here explores the true adoption of relevant methods in Ideological and political education college students’ learning. Through questionnaire survey to study the effect of relevant methods used by college students’ learning Ideological and political education and fuzzy analysis judging method to argue the teaching effect of integrating VR in Ideological and political education classroom, using comparative analysis method to compare and reference the traditional means of communication of Ideological and political education college students’ learning VR (virtual reality) The advantages of VR over traditional means of communication are summarized. Finally, the reasonableness and Probability of possible realization of relevant methods of college Ideological and political education are demonstrated by considering the needs and feasibility of the presented audience. The results show that most students’ applicability of the confirmation method and optimistic ideas and expressions for future development prospect of applying VR, a real simulated scenes relevant methods, to the practical college students’ learning for patriotic learning at the ideological level of college students learning. During the implementation of learning activities, about 89% of the students think that it can increase immersion, 80% think that it can be interactive, and most think that VR can make learning emotions high, highly concentrate on learning, and improve learning efficiency. Therefore, adopting relevant methods improves children’s enthusiasm for Ideological and political Education and transforms passive education into active participation.

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RETRACTED: Independent and innovative learning of gymnastics teaching based on computer interaction

Cited by 3 publications

References 13 publications

Research Landscape of Adaptive Learning in Education: A Bibliometric Study on Research Publications from 2000 to 2022

Research Landscape of Adaptive Learning in Education: A Bibliometric Study on Research Publications from 2000 to 2022

Research on Artificial Intelligence Data Based on Image Texture Characterization and Aerobics Teaching Mode in Colleges and Universities

Research on practical teaching of Ideological and political education based on VR technology in the information age

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