Teaching Evaluation System by use of Machine Learning and  Artificial Intelligence Methods

Hu, Jingjing

doi:10.3991/ijet.v16i05.20299

Cited by 48 publications

(25 citation statements)

References 12 publications

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“…Evaluation should be expressed in terms of motivation and integration functions. To evaluate a teacher's teaching is to enable the teacher to understand his own development direction in his evaluation and self-evaluation, so as to use the power of evaluation to integrate his/her teaching abilities and gain lessons in class [21,22]. Better, complete the teaching work better.…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] The Evaluation of Music Teaching in Colleges and Universities Based on Machine Learning

Xia

2022

Journal of Mathematics

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With the implementation of the strategic policy of rejuvenating the country through science and education, many innovative and practical teaching concepts and teaching models have been comprehensively developed. This breaks the backward teaching mode of traditional teaching activities. With the development of science and technology and Internet technology, deep learning is widely used in the field of education. Music teachers in colleges and universities constantly update their teaching methods and comprehensively use a variety of methods to carry out in-depth teaching in the classroom, and strive to stimulate students’ learning Interest and enthusiasm, and comprehensively enhance students’ music aesthetic ability. This article uses decision tree algorithms, support vector machines, Bayesian theory, and random forest four different classification techniques to evaluate the student curriculum evaluation dataset. Classification experiment: through the analysis of the experimental results, the performance of the four classifier models was compared, and the data showed the difference in accuracy, precision, recall, and F1 value of the four classifiers. At the same time, each of the classifier models was analyzed. This article verifies the effectiveness of machine learning models in curriculum evaluation and higher education mining, the importance of evaluation features.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] The Evaluation of Music Teaching in Colleges and Universities Based on Machine Learning

Xia

2022

Journal of Mathematics

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“…The theoretical and methodological basis of the study is an interdisciplinary approach that integrates the strategies of different fields of scientific knowledge: pedagogy, history, economics, creativeness, information technology and systems. When studying the culturological and educational phenomenon of the virtual museum, we were based on the theories of post-industrial and information societies [13], [14], [15]; theories of functioning of the Internet as an information channel and its social functions [16], [17], [18] and E-learning [19], [20], [21].…”

Section: Research Methods and Modelsmentioning

confidence: 99%

Virtual Museum Space as the Innovative Tool for the Student Research Practice

Tserklevych

Prokopenko

Goncharova

et al. 2021

Int. J. Emerg. Technol. Learn.

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The article presents the results of theoretical substantiation and practical ap-probation of modern possibilities for applying the visual teaching method. The EU countries’ educational experience on modern ways of working with museum expositions to form economic thinking is studied. The content of the two-stage pedagogical experiment is characterized. At the first stage, the possibilities of using educational excursions through museums and histori-cally significant territories of cities as a studying method are researched. The authors’ pedagogical product is presented - regional-themed tours on eco-nomics’ history. Using Ukrainian museums’ online resources (virtual tours, virtual exhibitions) has been developed and tested at the second stage. The thematic catalog of Ukrainian museums’ online resources for broad research practices has been created. The presented innovative tool has shown its ef-fectiveness in improving the educational process quality, forming infor-mation and media literacy, and applying inclusive education. This pedagogi-cal tool is essential in the context of the COVID-19 pandemic and for stu-dents with disabilities.

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“…Ontology is a clear and standardized description of conceptual models, while domain ontology is an abstract description of concepts and relationships in specific 2 Scientific Programming domains. Its functions are similar to relational models, and it is an organizational framework for information resources in related domains [11]. Domain ontology is the starting point of the entire intelligent information retrieval system, and it also runs through the entire system structure, provides references and basis for other functional modules, and plays a pivotal role in the entire system.…”

Section: Construction Of Artificial Intelligence Retrieval Ontologymentioning

confidence: 99%

Applied Research of Knowledge in the Field of Artificial Intelligence in the Intelligent Retrieval of Teaching Resources

Bai

2021

Scientific Programming

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In the development process of education informatization, digital teaching resources continue to grow, and how to manage and organize massive teaching resources has become a key issue for teaching staff. An efficient and accurate search system is an important part of the teaching resource service system. The use of intelligent search engines can search teaching resources comprehensively and efficiently, and the artificial intelligence search engine provides a reliable and convenient solution for the design and development of intelligent search systems. The article analyzes the design principles and technical standards of the intelligent search system, expounds the system’s functional architecture and database design, and introduces the realization process and principles of the search system. By analyzing the characteristics of basic education resources and existing automatic abstracting methods, this paper proposes to integrate the calculated feature word weights in the field of basic education into the algorithm for calculating the weights of abstract sentences and simultaneously examine the sentence position, sentence length, and other texts. There is an automatic summarization algorithm for surface statistics. This article also introduces the search design ideas and implementation steps based on artificial intelligence, makes a scientific evaluation and summary of the actual situation of the automatic abstract system running in the basic education resource search engine, and looks forward to the next improvement work.

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Teaching Evaluation System by use of Machine Learning and Artificial Intelligence Methods

Cited by 48 publications

References 12 publications

[Retracted] The Evaluation of Music Teaching in Colleges and Universities Based on Machine Learning

[Retracted] The Evaluation of Music Teaching in Colleges and Universities Based on Machine Learning

Virtual Museum Space as the Innovative Tool for the Student Research Practice

Applied Research of Knowledge in the Field of Artificial Intelligence in the Intelligent Retrieval of Teaching Resources

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