Design of Distance Assistance System for Intelligent Education by Web-based Applications
Abstract In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the dis...
Ausführliche Beschreibung
Autor*in: |
Yang, Chao [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Anmerkung: |
© The Author(s) 2022 |
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Übergeordnetes Werk: |
Enthalten in: Mobile networks and applications - Springer US, 1996, 27(2022), 3 vom: 09. März, Seite 1174-1185 |
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Übergeordnetes Werk: |
volume:27 ; year:2022 ; number:3 ; day:09 ; month:03 ; pages:1174-1185 |
Links: |
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DOI / URN: |
10.1007/s11036-022-01943-5 |
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OLC2079168126 |
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520 | |a Abstract In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the distance intelligent teaching assistance system and transmit various information to the interface of the teaching and administration subsystems. The submitted information is merged using the Bayesian model for integrating educational resources in the digital cloud to create a distance education database that supports the system with data. At the same time, the evaluation of the business logic of the data is performed. After the data is converted to other formats in the subsequent convertible database, it returns to the user interface to provide browsing and consulting functions for users. The experimental results show that the designed system can realize the remote auxiliary function of intelligent education and effectively improve the quality of teaching. The real-time data acquisition rate of the system in this paper is always equal to the set value. The average acceleration of the system in this paper is 5.5 and the data processing efficiency is higher. The minimum safety factor of the system is between 7.8 and 8.5, and the system has high stability. The user satisfaction of the system is over 93%, and the accuracy of the collected data is relatively high. The auxiliary system designed in this paper can provide a stable and efficient application environment for distance education. | ||
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10.1007/s11036-022-01943-5 doi (DE-627)OLC2079168126 (DE-He213)s11036-022-01943-5-p DE-627 ger DE-627 rakwb eng 004 VZ Yang, Chao verfasserin aut Design of Distance Assistance System for Intelligent Education by Web-based Applications 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the distance intelligent teaching assistance system and transmit various information to the interface of the teaching and administration subsystems. The submitted information is merged using the Bayesian model for integrating educational resources in the digital cloud to create a distance education database that supports the system with data. At the same time, the evaluation of the business logic of the data is performed. After the data is converted to other formats in the subsequent convertible database, it returns to the user interface to provide browsing and consulting functions for users. The experimental results show that the designed system can realize the remote auxiliary function of intelligent education and effectively improve the quality of teaching. The real-time data acquisition rate of the system in this paper is always equal to the set value. The average acceleration of the system in this paper is 5.5 and the data processing efficiency is higher. The minimum safety factor of the system is between 7.8 and 8.5, and the system has high stability. The user satisfaction of the system is over 93%, and the accuracy of the collected data is relatively high. The auxiliary system designed in this paper can provide a stable and efficient application environment for distance education. WEB Intelligent education Distance assistance teaching system Teaching support Resource management Lin, Jerry Chun-Wei aut Enthalten in Mobile networks and applications Springer US, 1996 27(2022), 3 vom: 09. März, Seite 1174-1185 (DE-627)215279522 (DE-600)1342049-5 (DE-576)063244756 1383-469X nnns volume:27 year:2022 number:3 day:09 month:03 pages:1174-1185 https://doi.org/10.1007/s11036-022-01943-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT AR 27 2022 3 09 03 1174-1185 |
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10.1007/s11036-022-01943-5 doi (DE-627)OLC2079168126 (DE-He213)s11036-022-01943-5-p DE-627 ger DE-627 rakwb eng 004 VZ Yang, Chao verfasserin aut Design of Distance Assistance System for Intelligent Education by Web-based Applications 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the distance intelligent teaching assistance system and transmit various information to the interface of the teaching and administration subsystems. The submitted information is merged using the Bayesian model for integrating educational resources in the digital cloud to create a distance education database that supports the system with data. At the same time, the evaluation of the business logic of the data is performed. After the data is converted to other formats in the subsequent convertible database, it returns to the user interface to provide browsing and consulting functions for users. The experimental results show that the designed system can realize the remote auxiliary function of intelligent education and effectively improve the quality of teaching. The real-time data acquisition rate of the system in this paper is always equal to the set value. The average acceleration of the system in this paper is 5.5 and the data processing efficiency is higher. The minimum safety factor of the system is between 7.8 and 8.5, and the system has high stability. The user satisfaction of the system is over 93%, and the accuracy of the collected data is relatively high. The auxiliary system designed in this paper can provide a stable and efficient application environment for distance education. WEB Intelligent education Distance assistance teaching system Teaching support Resource management Lin, Jerry Chun-Wei aut Enthalten in Mobile networks and applications Springer US, 1996 27(2022), 3 vom: 09. März, Seite 1174-1185 (DE-627)215279522 (DE-600)1342049-5 (DE-576)063244756 1383-469X nnns volume:27 year:2022 number:3 day:09 month:03 pages:1174-1185 https://doi.org/10.1007/s11036-022-01943-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT AR 27 2022 3 09 03 1174-1185 |
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10.1007/s11036-022-01943-5 doi (DE-627)OLC2079168126 (DE-He213)s11036-022-01943-5-p DE-627 ger DE-627 rakwb eng 004 VZ Yang, Chao verfasserin aut Design of Distance Assistance System for Intelligent Education by Web-based Applications 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the distance intelligent teaching assistance system and transmit various information to the interface of the teaching and administration subsystems. The submitted information is merged using the Bayesian model for integrating educational resources in the digital cloud to create a distance education database that supports the system with data. At the same time, the evaluation of the business logic of the data is performed. After the data is converted to other formats in the subsequent convertible database, it returns to the user interface to provide browsing and consulting functions for users. The experimental results show that the designed system can realize the remote auxiliary function of intelligent education and effectively improve the quality of teaching. The real-time data acquisition rate of the system in this paper is always equal to the set value. The average acceleration of the system in this paper is 5.5 and the data processing efficiency is higher. The minimum safety factor of the system is between 7.8 and 8.5, and the system has high stability. The user satisfaction of the system is over 93%, and the accuracy of the collected data is relatively high. The auxiliary system designed in this paper can provide a stable and efficient application environment for distance education. WEB Intelligent education Distance assistance teaching system Teaching support Resource management Lin, Jerry Chun-Wei aut Enthalten in Mobile networks and applications Springer US, 1996 27(2022), 3 vom: 09. März, Seite 1174-1185 (DE-627)215279522 (DE-600)1342049-5 (DE-576)063244756 1383-469X nnns volume:27 year:2022 number:3 day:09 month:03 pages:1174-1185 https://doi.org/10.1007/s11036-022-01943-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT AR 27 2022 3 09 03 1174-1185 |
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10.1007/s11036-022-01943-5 doi (DE-627)OLC2079168126 (DE-He213)s11036-022-01943-5-p DE-627 ger DE-627 rakwb eng 004 VZ Yang, Chao verfasserin aut Design of Distance Assistance System for Intelligent Education by Web-based Applications 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the distance intelligent teaching assistance system and transmit various information to the interface of the teaching and administration subsystems. The submitted information is merged using the Bayesian model for integrating educational resources in the digital cloud to create a distance education database that supports the system with data. At the same time, the evaluation of the business logic of the data is performed. After the data is converted to other formats in the subsequent convertible database, it returns to the user interface to provide browsing and consulting functions for users. The experimental results show that the designed system can realize the remote auxiliary function of intelligent education and effectively improve the quality of teaching. The real-time data acquisition rate of the system in this paper is always equal to the set value. The average acceleration of the system in this paper is 5.5 and the data processing efficiency is higher. The minimum safety factor of the system is between 7.8 and 8.5, and the system has high stability. The user satisfaction of the system is over 93%, and the accuracy of the collected data is relatively high. The auxiliary system designed in this paper can provide a stable and efficient application environment for distance education. WEB Intelligent education Distance assistance teaching system Teaching support Resource management Lin, Jerry Chun-Wei aut Enthalten in Mobile networks and applications Springer US, 1996 27(2022), 3 vom: 09. März, Seite 1174-1185 (DE-627)215279522 (DE-600)1342049-5 (DE-576)063244756 1383-469X nnns volume:27 year:2022 number:3 day:09 month:03 pages:1174-1185 https://doi.org/10.1007/s11036-022-01943-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT AR 27 2022 3 09 03 1174-1185 |
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10.1007/s11036-022-01943-5 doi (DE-627)OLC2079168126 (DE-He213)s11036-022-01943-5-p DE-627 ger DE-627 rakwb eng 004 VZ Yang, Chao verfasserin aut Design of Distance Assistance System for Intelligent Education by Web-based Applications 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Abstract In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the distance intelligent teaching assistance system and transmit various information to the interface of the teaching and administration subsystems. The submitted information is merged using the Bayesian model for integrating educational resources in the digital cloud to create a distance education database that supports the system with data. At the same time, the evaluation of the business logic of the data is performed. After the data is converted to other formats in the subsequent convertible database, it returns to the user interface to provide browsing and consulting functions for users. The experimental results show that the designed system can realize the remote auxiliary function of intelligent education and effectively improve the quality of teaching. The real-time data acquisition rate of the system in this paper is always equal to the set value. The average acceleration of the system in this paper is 5.5 and the data processing efficiency is higher. The minimum safety factor of the system is between 7.8 and 8.5, and the system has high stability. The user satisfaction of the system is over 93%, and the accuracy of the collected data is relatively high. The auxiliary system designed in this paper can provide a stable and efficient application environment for distance education. WEB Intelligent education Distance assistance teaching system Teaching support Resource management Lin, Jerry Chun-Wei aut Enthalten in Mobile networks and applications Springer US, 1996 27(2022), 3 vom: 09. März, Seite 1174-1185 (DE-627)215279522 (DE-600)1342049-5 (DE-576)063244756 1383-469X nnns volume:27 year:2022 number:3 day:09 month:03 pages:1174-1185 https://doi.org/10.1007/s11036-022-01943-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT AR 27 2022 3 09 03 1174-1185 |
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Abstract In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the distance intelligent teaching assistance system and transmit various information to the interface of the teaching and administration subsystems. The submitted information is merged using the Bayesian model for integrating educational resources in the digital cloud to create a distance education database that supports the system with data. At the same time, the evaluation of the business logic of the data is performed. After the data is converted to other formats in the subsequent convertible database, it returns to the user interface to provide browsing and consulting functions for users. The experimental results show that the designed system can realize the remote auxiliary function of intelligent education and effectively improve the quality of teaching. The real-time data acquisition rate of the system in this paper is always equal to the set value. The average acceleration of the system in this paper is 5.5 and the data processing efficiency is higher. The minimum safety factor of the system is between 7.8 and 8.5, and the system has high stability. The user satisfaction of the system is over 93%, and the accuracy of the collected data is relatively high. The auxiliary system designed in this paper can provide a stable and efficient application environment for distance education. © The Author(s) 2022 |
abstractGer |
Abstract In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the distance intelligent teaching assistance system and transmit various information to the interface of the teaching and administration subsystems. The submitted information is merged using the Bayesian model for integrating educational resources in the digital cloud to create a distance education database that supports the system with data. At the same time, the evaluation of the business logic of the data is performed. After the data is converted to other formats in the subsequent convertible database, it returns to the user interface to provide browsing and consulting functions for users. The experimental results show that the designed system can realize the remote auxiliary function of intelligent education and effectively improve the quality of teaching. The real-time data acquisition rate of the system in this paper is always equal to the set value. The average acceleration of the system in this paper is 5.5 and the data processing efficiency is higher. The minimum safety factor of the system is between 7.8 and 8.5, and the system has high stability. The user satisfaction of the system is over 93%, and the accuracy of the collected data is relatively high. The auxiliary system designed in this paper can provide a stable and efficient application environment for distance education. © The Author(s) 2022 |
abstract_unstemmed |
Abstract In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the distance intelligent teaching assistance system and transmit various information to the interface of the teaching and administration subsystems. The submitted information is merged using the Bayesian model for integrating educational resources in the digital cloud to create a distance education database that supports the system with data. At the same time, the evaluation of the business logic of the data is performed. After the data is converted to other formats in the subsequent convertible database, it returns to the user interface to provide browsing and consulting functions for users. The experimental results show that the designed system can realize the remote auxiliary function of intelligent education and effectively improve the quality of teaching. The real-time data acquisition rate of the system in this paper is always equal to the set value. The average acceleration of the system in this paper is 5.5 and the data processing efficiency is higher. The minimum safety factor of the system is between 7.8 and 8.5, and the system has high stability. The user satisfaction of the system is over 93%, and the accuracy of the collected data is relatively high. The auxiliary system designed in this paper can provide a stable and efficient application environment for distance education. © The Author(s) 2022 |
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Design of Distance Assistance System for Intelligent Education by Web-based Applications |
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https://doi.org/10.1007/s11036-022-01943-5 |
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Lin, Jerry Chun-Wei |
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Lin, Jerry Chun-Wei |
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