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Yongyan Zhao; Jian Li – International Journal of Web-Based Learning and Teaching Technologies, 2024
The attention time of students studying in MOOC (Massive Open Online Courses) classroom was analyzed to optimize and further improve their performance. On this basis, a student class model based on convolutional neural networks (CNN) feature extraction was proposed. Through Pr (Adobe Premiere) technology, students' class videos were processed by…
Descriptors: Higher Education, MOOCs, Artificial Intelligence, Networks
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Nan Wu – International Journal of Web-Based Learning and Teaching Technologies, 2024
Higher education is becoming increasingly competitive and all educational institutions are concentrating on improving quality and changing traditional higher education teaching methods. New-type classroom instruction has embraced a unique advancement opportunity with the arrival of the fifth generation (5G) era. It is critical to develop a…
Descriptors: Instructional Effectiveness, Internet, Computer Literacy, Artificial Intelligence
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Hongyu Xie; He Xiao; Yu Hao – International Journal of Web-Based Learning and Teaching Technologies, 2024
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…
Descriptors: Artificial Intelligence, Electronic Learning, Individualized Instruction, Models
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Rui Guo – International Journal of Web-Based Learning and Teaching Technologies, 2024
To promote the construction of public physical education online courses in colleges and universities and the evaluation of the effectiveness of course teaching, this article combines 3D reconstruction techniques in computer vision to construct a set of human body shape reconstruction models and apply them to physical training exercises and…
Descriptors: Artificial Intelligence, Information Technology, Physical Education, Teaching Methods
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Chu, Jinjin; Szlagor, Maciej – International Journal of Web-Based Learning and Teaching Technologies, 2023
Distance education between the student and the teacher through online sessions can make it difficult for a student who does not understand a concept to ask for clarification. Lack of a physical campus or social pressure from peers can demotivate students from completing their assignments. The framework of multi-intelligence English teaching based…
Descriptors: Distance Education, Blended Learning, Educational Technology, Multiple Intelligences
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Das, Sanjita; Srivastava, Shilpa; Tripathi, Aprna; Das, Saumya – International Journal of Web-Based Learning and Teaching Technologies, 2022
Concerns about the health effects of frequent exposure to electromagnetic fields (EMF) emitted from mobile towers and handsets have been raised because of the gradual increase in usage of cell phones and frequent setting up of mobile towers. Present study is targeted to detrimental effects of EMF radiation on various biological systems mainly due…
Descriptors: Meta Analysis, Scientific Concepts, Magnets, Handheld Devices
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Hui Meng; Li Ma; Lei Su; Bei Lu; Di Hou; Xiaowei Du – International Journal of Web-Based Learning and Teaching Technologies, 2024
Intangible cultural heritage is an important part of Chinese excellent traditional culture, and college dance teaching is paid more attention by researchers of physical education and computer technology. In order to help the inheritance and development of non-legacy culture in college dance teaching, this paper analyzes the influencing factors of…
Descriptors: Dance Education, Cultural Background, Telecommunications, Computer Networks
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Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid – International Journal of Web-Based Learning and Teaching Technologies, 2016
In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…
Descriptors: Electronic Learning, Teaching Methods, Classification, Student Needs