An Analysis Model for An Integrated Student Activities Management System for Higher Education during RMO/CMCO/PASCA COVID-19 Period in Malaysia

Jasmis, Jamaluddin; Aziz, Azlan Abdul; Jono, Mohd Nor Hajar Hasrol; Zamzuri, Zainal Fikri; Elias, Shamsul Jamel

doi:10.1016/j.procs.2021.01.067

Cited by 17 publications

(6 citation statements)

References 7 publications

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“…However, this technology also has some disadvantages. For 3 Wireless Communications and Mobile Computing example, if a new session appears in the database, it is almost impossible to be recommended due to the factor of probability [14]. In addition, if a user has a special hobby, he cannot find the nearest neighbor and get the correct.…”

Section: Evaluation Algorithm Of College Students' Educationalmentioning

confidence: 99%

Evaluation Method of College Students’ Education Management Quality Based on Collaborative Filtering Algorithm and IoT Apps

Tang¹

2022

Wireless Communications and Mobile Computing

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Considering the ongoing unfortunate evaluation impact of College Students’ education management quality, this paper advances an undergrad’ education management quality evaluation technique in light of collaborative filtering algorithm, gathers the impact indicators of College Students’ education management quality, and builds an understudies’ education management quality evaluation record framework joined with collaborative filtering algorithm. At long last, it is affirmed by tests that the quality evaluation technique for College Students’ Education Management Based on collaborative filtering algorithm has high precision and practicability during the time spent down to earth application, which gives reference and help for college education management.

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Section: Evaluation Algorithm Of College Students' Educationalmentioning

confidence: 99%

Evaluation Method of College Students’ Education Management Quality Based on Collaborative Filtering Algorithm and IoT Apps

Tang¹

2022

Wireless Communications and Mobile Computing

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“…On this basis, student management evaluates students through feedback, emotions, teaching styles, extracurricular skills, and objective evaluations (including academic performance, attendance, competition awards, etc.). There is no unified format and field description for these data [14]. Due to its textual and detailed nature, it is difficult to directly process with traditional information management systems, which means comprehensive evaluation cannot be conducted.…”

Section: Intelligent Student (Work) Management and Evaluation Informa...mentioning

confidence: 99%

Evaluation of Intelligent Student (Work) Management and Evaluation Information System Based on K-means Algorithm

Gao

2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

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Student guidance is an important part of school leadership. Currently, only the computerization of student data has been widely practiced. However, due to the diversity of data sources, the lack of structured data on student guidance, and the use of subjective evaluations and single indicators as evaluation criteria, the technical computerization of the student guidance evaluation process is still in its infancy, and the maturity of the technology is not yet sufficient. The evaluation of the effectiveness of student guidance has always been based on subjective judgment, and the experience of expert groups is not always inherited and retained. Therefore, it is necessary to introduce mechanisms in the management system to optimize evaluation effectiveness, such as eliminating errors and utilizing past data. The article focuses on the intelligent information system for management and assessment of college graduates (work) based on K-means algorithm. Firstly, the K-means algorithm and the intelligent student management and assessment system are briefly introduced; secondly, the theoretical basis of the K-means algorithm is elaborated; finally, the paper conducts an empirical study on student management and assessment based on this method. The results of the study show that the intelligent information system (questionnaire) for student management and assessment based on the K-means algorithm is more comprehensive than the traditional assessment method. According to the K-means algorithm, the media class of 2015 is the most suitable, and there is a great improvement in all aspects.

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“…(3) Functions of college student management system The understudy the executives framework in schools and colleges is a significant component to advance the improvement of universities and colleges, and it is additionally an indication of the accomplishments of undergrads' administration work [8].…”

Section: Concepts and Theories Of Teaching Management In Colleges And...mentioning

confidence: 99%

Research on the Integration of Institutional Management and Emotional Management in College Student Management in the Era of Artificial Intelligence

2024

aduhe

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Undergrad the board framework is a vital piece of China's advanced education framework. It isn't just the fundamental substance of the communist current college framework with Chinese attributes, yet in addition a significant assurance for working on the nature of China's advanced education. The student management system in colleges and universities is also an important institutional guarantee for cultivating qualified builders of socialism with Chinese characteristics and reliable successors. This paper aims to study the integration of institutional management and emotional management in college student management. It introduced the concepts of student management, institutional management and emotional management in colleges. In this paper, a particle swarm optimization algorithm based on artificial intelligence is proposed to optimize the management mode of college students. In this experiment, students in X University were taken as an example, and 600 questionnaires were distributed by random sampling to investigate the students' views on student management and students' satisfaction with the integration of institutional management and emotional management. The experimental results showed that before the integration of institutional management and emotional management, the satisfaction of boys is 70%, and the satisfaction of girls is 65%; after the integration of institutional management and emotional management, the satisfaction of boys is 85%, and the satisfaction of girls is 94%. It showed that girls are more sensitive to the student management system and most people are more satisfied with the student management after the integration of institutional management and emotional management.

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An Analysis Model for An Integrated Student Activities Management System for Higher Education during RMO/CMCO/PASCA COVID-19 Period in Malaysia

Cited by 17 publications

References 7 publications

Evaluation Method of College Students’ Education Management Quality Based on Collaborative Filtering Algorithm and IoT Apps

Evaluation Method of College Students’ Education Management Quality Based on Collaborative Filtering Algorithm and IoT Apps

Evaluation of Intelligent Student (Work) Management and Evaluation Information System Based on K-means Algorithm

Research on the Integration of Institutional Management and Emotional Management in College Student Management in the Era of Artificial Intelligence

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