An online teaching process monitoring method of MOOC platform based on video recognition

Because the teaching methods of Chinese teaching in higher vocational colleges are improper and the problems in the teaching process cannot be found in time, the teaching effect is not good and there are many difficulties in the teaching process of teachers. According to actual needs, based on complex evolution and improved neural network algorithms, this paper builds a Chinese online teaching system in high vocational colleges. After communication with users and social research, the model function module is determined, and the system performance is improved through the mapping optimization model to eliminate data transmission problems in the system operation, and the realization process of the system function module is shown in the form of a diagram. In addition, this paper designs a control experiment to verify the performance of the model and uses the traditional algorithm model as a control to start the test teaching and uses statistical methods to compare the teaching effects. The research results show that the teaching system constructed in this paper has certain advantages over the traditional model.

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Research on Online Scene Teaching Mode of Tobacco Picking Decision Tree Construction Process Integrating Deep Learning

Tobacco Regulatory Science ◽

10.18001/trs.7.5.1.78 ◽

2021 ◽

Vol 7 (5) ◽

pp. 3076-3086

Author(s):

Zhang Shuili ◽

Zhao Yi ◽

Zheng Kexin ◽

Zhang Jun ◽

Zheng Fuchun

Keyword(s):

Deep Learning ◽

Decision Tree ◽

Online Teaching ◽

Information Gain ◽

Teaching Evaluation ◽

Teaching Process ◽

Teaching Mode ◽

Teaching Interaction ◽

Tree Construction ◽

Information And Communication

Objectives: In view of the characteristics of online teaching during the coronavirus pandemic and the importance of practical teaching in training students’ skills in the process of graduate education, this paper proposes an online scene teaching mode that takes projects as the carrier and integrates with deep learning. In order to meet the demand for information and communication engineering professionals in the big data context, the whole teaching process is divided into four stages: Topic selection, Teaching project setting, online teaching interaction and teaching evaluation. In the teaching process of Python Data Analysis Foundations, the project “establishment process of tobacco picking decision tree based on information gain” is taken as the teaching case. Prior knowledge and references are pushed through the cloud platform before class, and The scene of tobacco picking affected by the weather is set in the online classroom to guide students to seek solutions to problems, and the results are presented with graphics to assist students to summarize, and then reset the scene to promote knowledge transfer, so as to integrate deep learning into the teaching process, and modify the corresponding stages according to the teaching evaluation results. The content of the scene is gradually increased from easy to difficult, from simple to complex, and from least to most, gradually increasing the difficulty, which enhances students’ learning interest and sense of achievement. Meanwhile, students’ initiative to participate in curriculum research further strengthens the effectiveness of the course in serving scientific research, which has a certain value of popularization and application.

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PEDAGOGICAL PERSPECTIVE OF THE ONLINE TEACHING PROCESS

INTED2021 Proceedings ◽

10.21125/inted.2021.1382 ◽

2021 ◽

Author(s):

Renata Jukić ◽

Marija Sablić ◽

Sara Kakuk

Keyword(s):

Online Teaching ◽

Teaching Process

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Development of a Rapid Process Monitoring Method for Dry-Coated Tableting Process by Using Near-Infrared Spectroscopy

Chemical and Pharmaceutical Bulletin ◽

10.1248/cpb.59.868 ◽

2011 ◽

Vol 59 (7) ◽

pp. 868-873 ◽

Cited By ~ 3

Author(s):

Masatomo Ito ◽

Tatsuya Suzuki ◽

Naoki Wakiyama ◽

Hiroshi Teramoto ◽

Etsuo Yonemochi ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Process Monitoring ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Monitoring Method ◽

Rapid Process

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Unsupervised-Multiscale-Sequential-Partitioning and Multiple-SVDD-Model-Based Process-Monitoring Method for Multiphase Batch Processes

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.8b02486 ◽

2018 ◽

Vol 57 (51) ◽

pp. 17437-17451 ◽

Cited By ~ 8

Author(s):

Jianlin Wang ◽

Kepeng Qiu ◽

Weimin Liu ◽

Tao Yu ◽

Liqiang Zhao

Keyword(s):

Process Monitoring ◽

Batch Processes ◽

Monitoring Method ◽

Model Based

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Specifičnosti onlajn nastave leksikologije i sintakse srpskog jezika na Filološkom fakultetu: izazovi i perspektive

10.46793/nnu21.111r ◽

2021 ◽

Author(s):

Marija Raković ◽

Keyword(s):

Foreign Language ◽

Online Teaching ◽

Teaching Practice ◽

Teaching Process ◽

Advantages And Disadvantages ◽

Insufficient Time ◽

The Subject ◽

University Level ◽

The University ◽

Case Based

The paper deals with the observation of the specifics of online teaching of lexicology and syntax of the Serbian language at the Faculty of Philology of students studying a foreign language. The aim is to notice possibilities of realization of online teaching. The research was conducted on the basis of the implementation of the teaching process in the subject Serbian language 2 (lexicology and syntax) and a survey of students on the advantages and disadvantages of online teaching. The analysis showed that online teaching provides shortcomings in the form of insufficient time for the teacher to deal in more detail with student ambiguities, but also provides numerous opportunities for progress in education – mostly in terms of student time organization and uninterrupted questioning, which is not always the case. Based on the obtained results, we will try to give methodological implications for teaching practice, which concern the possibility of improving online teaching of the Serbian language at the university level.

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