RETRACTED: A study on the evaluation method of foreign language classroom teaching process from the perspective of neuroeducation

In the context of the era of modern information technology to promote the digital transformation of education, it is also imperative to explore the intelligence of classroom teaching evaluation. This paper proposes a Bayesian probabilistic model based on PyMC3, weights it, and introduces the principle of incremental learning, which greatly reduces the error of the plain Bayesian algorithm in collecting and processing data teaching evaluation data. The Bayesian algorithm is used to classify and filter original classroom teaching evaluation data. The data analysis part of this paper examines the intelligent classroom, the teacher’s lecture scoring, and the student’s grades. With the help of the weighted plain Bayesian algorithm, the level of student participation in the traditional lecture mode and intelligent classroom were determined respectively, from which the classroom acceptance level and the probability of high or low evaluation of teaching were calculated. From the data collection, it can be seen that the full attendance rate of students in three months reached 54%, and the average satisfaction score of the algorithm on the teacher’s instruction reached 0.53. Therefore, the plain Bayesian algorithm used in this paper can effectively analyze the teaching evaluation data and accurately visualize the data association between student classroom engagement and teaching evaluation.

Section: Introductionmentioning

confidence: 99%

“…Fenglan Liang, Weiwei Shen and Le Chen. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14] …”

mentioning

confidence: 99%

Research on the Evaluation of Deeply Intelligent Classroom Teaching and Learning in Colleges and Universities Based on Data Analysis

Liang,

Shen,

Chen

2024

“…As China enters the historical development stage of the new era of socialism with Chinese characteristics, university English programs shoulder new tasks and missions of the times [4][5][6]. As the main bearer of foreign language education tasks in higher education, what are the new requirements facing university English programs [7][8][9]? Can the existing university English curriculum fulfill these new tasks?…”

Section: Introductionmentioning

confidence: 99%

The Construction of Teaching System of Foreign Language Courses in Colleges and Universities Based on the GFKE Model

Bian,

2024

Under the guidance of foreign language curriculum design theory, foreign language courses in colleges and universities should construct a foreign language course teaching system from the aspects of reconfiguring the course objectives, updating the course content, and designing a diversified evaluation system. This paper combines the 5Ds framework with the GFKE model to establish the teaching system of foreign language courses in colleges and universities, designs the blended teaching mode of foreign language courses in colleges and universities, and constructs the corresponding course evaluation index system. Taking Z University in H province as the research object, the relevant teaching process of foreign language courses was designed, the coefficient of variation method solved the weights of evaluation indexes, and the teaching effect of foreign language courses in universities was comprehensively evaluated by set-pair analysis. On this basis, a validation analysis was carried out using the dimensions of teaching effect and teaching evaluation. The reading scores of students in the Experiment 1 class went up by 3.31 points, and the average score of students’ writing test scores went up by 53.86%, as per the findings. In the posttest of the depth of knowledge of English vocabulary, the experimental 1 class scored 25.83 points, which was 45.28% more than the control 2 class’s score. Blending foreign language courses based on the GRKE model can promote the improvement of students’ foreign language learning ability, and teaching evaluation results will be more accurate.

“…The University English Teaching Guide puts forward the requirements of diversification, scientification, and informatization for the integrated construction of teaching and evaluation. Teaching and evaluation are the focus of deepening teaching and promoting connotative development, and the standards, contents, and norms of evaluation are also the focus of scholars' attention [7][8].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Innovation of Informative English Teaching Evaluation in the Age of Mathematical Intelligence

2024

With the informatization of education, the traditional English teaching evaluation method is increasingly unable to meet the needs of cultivating talents in colleges and universities. In this paper, we constructed an informatized English teaching evaluation system using two modules: students’ classroom learning status evaluation and teachers’ teaching quality evaluation. Using informationized face detection and expression recognition technology, the evaluation axis of students’ classroom learning status is established as “students’ head-up rate - students’ expression - students’ concentration - classroom learning status”. The fuzzy comprehensive judgment model based on a genetic algorithm was established by constructing a judgment matrix and calculating the weights of teaching quality evaluation indexes using a hierarchical analysis method. The experimental and control groups analyzed the English teaching evaluation system’s application. Regarding English achievement, the post-experimental scores of the students in the experimental class were 8.57 points higher than those of the control class, with a highly significant difference (P<0.01). In terms of student literacy, students in the experimental class showed significant improvement in four indicators, including learning motivation, learning situation and cognition, and their attitudes toward the quality of English teaching were in the range between satisfaction and comparative satisfaction, and the overall performance of the application practice of the English education evaluation system was good.