Information Technologies for Teaching Children with ASD

Andrunyk, Vasyl; Shestakevych, Tetiana; Pasichnyk, Volodymyr

doi:10.1007/978-3-030-16621-2_49

Cited by 9 publications

(10 citation statements)

References 14 publications

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“…According to the literature [9], students' explicit and negative classroom behaviours include coming late, leaving early, truancy, conversing, and talking, while unobservable activities include playing mobile phones, napping, mind wandering, and completing other schoolwork in class. Head-down behaviour (secretly playing with mobile phones and doing other coursework), head-turning behaviour (focusing on objects outside the blackboard range), and pseudo-listening behaviour (mind wandering and dozing off) are the three categories of implicit negative classroom behaviours identified by literature [10]. Bowing is mostly exhibited in bowing for a length of time, whether it is discreetly playing with a cell phone or performing other coursework.…”

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T ...mentioning

confidence: 99%

“…e NL-Means algorithm is a nonlocal averaging method. To assess the similarity between pixels, the NL-means method scans all of the given pixel blocks on the picture and assigns a weight w to the neighbourhood pixel blocks of y. e grayscale calculation at x in the image u obtained by denoising the source image v is shown in formula (10). e similarity weight w is determined by the distance between the x and y pixel blocks, which can be calculated by formula (11).…”

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T ...mentioning

confidence: 99%

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Computational English Online Teaching Monitoring System Based on Deep Learning Algorithm

Feng

Michalak

2022

Security and Communication Networks

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In order to improve the monitoring effect of English online teaching, this paper combines the deep learning algorithm to construct the English online teaching monitoring system and conduct real-time supervision of the English online teaching process. Furthermore, by altering the original DCGAN, this research seeks to apply the approach of constructing a deep convolutional adversarial network to tackle the issue of small-sample target recognition in a given scene and develop an appropriate learning model. According to the results of the experimental research, the English online teaching monitoring system proposed in this paper, which is based on the deep learning algorithm, can play an important role in online English teaching monitoring and effectively improve the efficiency of online English management.

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Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T ...mentioning

confidence: 99%

Section: R E T R a C T E D R E T R A C T E D R E T R A C T E D R E T ...mentioning

confidence: 99%

Computational English Online Teaching Monitoring System Based on Deep Learning Algorithm

Feng

Michalak

2022

Security and Communication Networks

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“…However, one-sided emphasis on the practical value of technology in educational technology will, to some extent, lead to indifference to cultural and spiritual life other than technology, ignore the value of life, and make education lose its responsibility of "making people into people." Value pursuit: literature [9] pointed out that technology itself does not help students to learn actively, the difference lies in how technology is applied to the learning process, and the key lies in how technology is integrated to provide an effective learning experience. Literature [10] believes that when technology is applied to teaching and promotes learning, it also produces a series of new problems and points out that, among many new problems, it is particularly noteworthy that, with the continuous strengthening of technological power, technology itself has from an extended tool of human power to an ideology that controls people and educational technology has evolved into a hegemonic power in the education and teaching system, which seriously threatens the subject and object of education-teacher and student.…”

Section: Related Workmentioning

confidence: 99%

Application of Improved Machine Learning and Fuzzy Algorithm in Educational Information Technology

Wang

2022

Security and Communication Networks

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In order to improve the teaching effect of intelligent education, this paper combines machine learning and fuzzy algorithm to improve the application effect of educational information technology and the use of information platform. Moreover, this paper collects the user’s behavior information in the process of using the platform as the user’s interest description and selects personalized upgrade resources for the user. In addition, this paper introduces the similarity as a personalized recommendation evaluation standard and calculates the average similarity between the recommended related resources and the user’s interest. Finally, this paper constructs an educational information system based on improved machine learning and fuzzy algorithms. The experimental research results show that the intelligent system proposed in this paper can play an important role in educational information processing and teaching quality improvement.

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“…e design is mainly divided into four layers, namely, the data source layer, data storage layer, data analysis layer, and data visualization layer [7]. Teachers and students can realize interactive teaching by logging in to the cloud classroom [8]. Cloud classroom teaching is easy to create.…”

Section: Related Workmentioning

confidence: 99%

Teaching Mode of Japanese Intensive Reading in Colleges and Universities Based on Cloud Computing Intelligent Platform

Xiaohuan

Zhou²

2022

Mobile Information Systems

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In order to improve the effect of Japanese teaching in colleges and universities, this study uses the variance of the bias error of the data channel of the cloud transmission platform to represent the intensity of the bias error between the data channels of the cloud transmission platform. Moreover, this study uses the perfect reconstruction filter algorithm to compensate for the frequency-dependent mismatch error of the broadband signal, obtains the value at the ideal sampling point from the sampling sequence estimation, and then corrects the delay deviation. In addition, this study constructs the overall structure of the Japanese intensive reading teaching system in colleges and universities based on the network cloud platform, proposes a method for solving the correction filter, and conducts simulation verification. Finally, this study constructs a teaching system for Japanese intensive reading in colleges and universities based on the network cloud platform. Through experimental research, it is verified that the teaching mode of Japanese intensive reading in colleges and universities based on the cloud computing intelligent platform has certain feasibility.

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Information Technologies for Teaching Children with ASD

Cited by 9 publications

References 14 publications

Computational English Online Teaching Monitoring System Based on Deep Learning Algorithm

Computational English Online Teaching Monitoring System Based on Deep Learning Algorithm

Application of Improved Machine Learning and Fuzzy Algorithm in Educational Information Technology

Teaching Mode of Japanese Intensive Reading in Colleges and Universities Based on Cloud Computing Intelligent Platform

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