Teaching Evaluation by Teachers from Brazil and Portugal: A Comparative Analysis

Linhares, Ronaldo Nunes; Alcântara, Caio Mário Guimarães; Gonçalves, Everton Ávila; Sadio-Ramos, Fernando José; Loureiro, Maria José

doi:10.12691/education-5-5-11

Cited by 33 publications

(7 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In terms of the sidelobe attenuation of the window function, it is obviously better than the Hanning window, and the error of the corrected data is significantly reduced. The literature [ 10 ] used a bimodal spectral line interpolation correction on the FFT processed data. The algorithm uses two spectral lines near the measured frequency point to interpolate and correct them after the weighted average and approximate the corrected data with a function polynomial.…”

Section: Related Workmentioning

confidence: 99%

Continual Digital Twin Technology Application on the Construction of English-Chinese Bilingual Teaching Mode

Wang¹,

Li²

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

This study enhances the conventional English-Chinese bilingual teaching mode by incorporating the continuous digital twin technology into its design. In addition to the typical video and audio transmission teaching functions, the English-Chinese bilingual distant education system also includes a number of interactive capabilities. The approach described in this study is mostly utilized for bilingual instruction in colleges and universities, and the instruction is enhanced by digital twin technology. In this work, the system performance test focuses primarily on the evaluation of teaching quality and teaching satisfaction. Among these are the evaluation of teaching quality by questionnaires, the evaluation of this paper’s system by a number of senior teachers, and the calculation of student satisfaction through teaching experiments. The results of the study indicate that the strategy described in this work has a particular effect.

show abstract

Section: Related Workmentioning

confidence: 99%

Continual Digital Twin Technology Application on the Construction of English-Chinese Bilingual Teaching Mode

Wang¹,

Li²

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…At the same time, we have also rapidly entered the era of big data with the rapid development of the Internet. The big data has had a significant impact on finance, business, medical care, and other fields [ 1 , 2 ]. Accordingly, how to reasonably design or carry out Chinese teaching under the platform of big data is an important problem that restricts the development of the teaching level of the universities in China.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Research on Organization Design of College Chinese Teaching under Big Data Environment

Shi

2022

Journal of Environmental and Public Health

View full text Add to dashboard Cite

The pivotal and most important technology point of the application of big data in modern network teaching is the establishment of teaching platform. Based on Hadoop big data technology, this paper establishes a big data platform designed by Chinese teaching institutions in colleges and universities. The teaching system not only realizes the diversified development of network teaching but also realizes the discovery of teaching platform users’ needs and the push of resources. In addition, it is found that a small number of people do not have a high understanding of the teaching mode of big data through extensive studies, which also shows that traditional teaching is still lagging behind in big data education. However, on the whole, the Chinese teaching model in universities based on the big data environment deserves further promotion and application in universities.

show abstract

“…For example, after companies' investment decision-making, financing, asset pricing, and other fields are incorporated into the expected utility theory system, they have achieved rapid development [10]. Similarly, under the framework of expected utility theory, financial scientific research has also made remarkable achievements [11].…”

Section: Related Workmentioning

confidence: 99%

University Classroom Teaching Model Based on Decision Tree Analysis and Machine Learning

Guo

2021

Mobile Information Systems

View full text Add to dashboard Cite

The existing teaching evaluation system partially reflects the teaching effect and other related conditions through statistical reports, but it is difficult to find the useful knowledge hidden in the database, and it cannot effectively assist the decision-making support. In order to improve the evaluation effect of college classroom teaching mode, this paper mainly uses decision tree algorithm and data mining technology of association rules to construct the effectiveness evaluation system of college classroom teaching mode based on decision tree analysis. Moreover, this paper analyzes the teaching information and evaluation data to extract the potentially useful knowledge contained in it, which can help decision-makers find the rules and explore various factors that affect the teaching effect of teachers, thereby improving teaching management and optimizing resource allocation. In addition, this paper uses experimental teaching methods to verify the performance of the system model constructed in this paper. The research results show that the system constructed in this paper has certain reliability and practicability.

show abstract

Teaching Evaluation by Teachers from Brazil and Portugal: A Comparative Analysis

Cited by 33 publications

References 2 publications

Continual Digital Twin Technology Application on the Construction of English-Chinese Bilingual Teaching Mode

Continual Digital Twin Technology Application on the Construction of English-Chinese Bilingual Teaching Mode

[Retracted] Research on Organization Design of College Chinese Teaching under Big Data Environment

University Classroom Teaching Model Based on Decision Tree Analysis and Machine Learning

Contact Info

Product

Resources

About