Design of intelligent network OBE teaching evaluation system based on Mixed algorithm
Authors: 
Meng Xia, Yaping Chang, Yongjun HeAuthors Info & Claims
Meng Xia, Yaping Chang, Yongjun HeAuthors Info & ClaimsPages 453 - 459
Abstract
Teacher evaluation in teaching departments is one of the most important components of the evaluation of teaching quality. With the acceleration of the education informatization process, the use of modern information processing techniques can provide extremely favorable conditions and means for the evaluation of teachers' teaching quality in traditional teaching. At the same time, in a certain network environment, the use of teaching evaluation-assisted decision-making systems can further promote the rationality and fairness of teaching evaluation. Based on this background, this paper designs an intelligent network OBE (Outcome-Based Education) teaching evaluation system based on the Mixed algorithm. Firstly, the evaluation results of the teaching model are obtained based on the Mixed algorithm and neural network algorithm. Then, the OBE concept is integrated into teaching evaluation. Finally, the entire teaching evaluation system is designed in a unified manner. The results show that the system designed in this paper provides objective and reasonable evaluation results for teaching quality and can provide reference for the evaluation and decision-making of teaching quality in colleges and universities.
References
[1]
G. Bogdanova, T. Todorov, and D. Blagoev, “Use of dynamic technologies for web-enabled datasysEntity management systems,” Computer Systems and Technologies, no. 8, pp. 202-207, 2018.
[2]
S. Han, and J. P. Singh, “Comparison of three programming models for adaptive applications on the origin 2000,” Journal of Parallel and Distributed computing, no. 62, pp. 241-266, 2021.
[3]
T.Chen, and J. Lin, “Selecting a supplier by fuzzy evaluation of capability indices cpm,” Int J Adv Manuf Technol, vol. 22, pp.534-540, 2021.
[4]
S. J. Sistare, and C.J. Jackson, “Ultra-High performance communication with MPI and the sun fire link interconnect,” Proceedings of Supercomputing, no. 1, pp. 117-118, 2015.
[5]
Y. Ding, and X. Shen, “Development of teacher performance evaluation System based on fuzzy comprehensive evaluation,” Computer Applications and Software, no. 6, pp. 178-179, 2021.
[6]
Z. Pan, “The realization of teacher evaluation system based on ASP.NET,” Modern Electronics Technique, no. 3, pp. 35-42, 2015.
[7]
S. Shi, H. Yu, and Z. Sun, “Fracturing effect prediction based on grey correlation analysis and BP neural network,” Journal of Yangtze University, no. 8, pp. 35-36, 2014.
[8]
Q. Luo, “Analysis and design of teaching management system based on WEB,” Silicon Valley, vol. 12, no. 1, pp. 48-49, 2013.
[9]
S. Zhou, “Computer network laboratory teaching management system design,” Digitization User, vol. 30, no. 21, pp. 66, 2013.
[10]
C. Wang, “Based on ASP.NET teaching management system design and implementation,” Electronic Technology, vol. 13, no. 4, pp. 45-48.
[11]
Collins K, Kanev K, and Kapralos B, “Using games as a method of evaluation of usability and user experience in human-computer interaction design,” International Conference on Humans & Computers, 2010.
[12]
Juarascio A S, Goldstein S P, and Manasse S M, “Perceptions of the feasibility and acceptability of a smartphoe application for the treatment of binge eating disorders: Qualitative feedback from a user population and clinicians”, International Journal of Medical Informatics, vol. 84, no. 10, pp. 808-816, 2015.
[13]
Q. Ren, “Design and implementation of teaching system based on cloud computing,” Computer Knowledge and Technology, vol. 11, no. 30, pp. 109-110, 2015.
[14]
C. Wang, “Design and Implementation of a Teaching Management System Based on ASP.NET,” Electronic Technology, vol. 13, no. 4, pp. 45-48, 2014.
[15]
Y. Liu, Z. Song, and C. Liu, “Development of general question bank and teaching management system based on VFP and Word,” Hebei Journal of Industrial Science & Technology, vol. 27, no. 6, pp. 497-499, 2010.
Index Terms
- Design of intelligent network OBE teaching evaluation system based on Mixed algorithm
Recommendations
Research on College Classroom Teaching Evaluation System and Evaluation Method
ICEE '12: Proceedings of the 2012 3rd International Conference on E-Business and E-Government - Volume 04The college classroom teaching is an important part of the quality of undergraduate education teaching, it plays a key role in improving the quality of undergraduate education comprehensively, therefore, it has the important significance to improve ...
Research on the Path of Preschool Education Curriculum System Construction under OBE Teaching Concept
CIPAE 2021: 2021 2nd International Conference on Computers, Information Processing and Advanced EducationBased on the OBE teaching philosophy, the construction of a practical teaching goal system with the cultivation of students' practical ability in nursing and education as the core is the construction path of the college preschool education curriculum ...
The Teaching Evaluation Index System and Intelligent Evaluation Methods of Vocational Undergraduate Pilot Colleges
In recent years, with the popularization of higher education, quality problems have become increasingly prominent, and government documents often propose that the main task of education reform and development is to improve the quality of higher education. ...
Comments
Information & Contributors
Information
Published In
December 2023
1132 pages
ISBN:9798400716157
DOI:10.1145/3660043
Copyright © 2023 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 May 2024
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICIEAI 2023
ICIEAI 2023: 2023 International Conference on Information Education and Artificial Intelligence
December 22 - 24, 2023
Xiamen, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 8Total Downloads
- Downloads (Last 12 months)8
- Downloads (Last 6 weeks)1
Reflects downloads up to 30 Aug 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format