Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)

The Research on the Comprehensive Ability Evaluation Model of RF Electronic Technology Experiment Course

Authors
Guosheng Ma, Jiang Wang, Rui Dong
Corresponding Author
Guosheng Ma
Available Online 2 November 2020.
DOI
https://doi.org/10.2991/assehr.k.201030.036How to use a DOI?
Keywords
RF electronic technology, cloud model, cloud generator, Comprehensive ability evaluation mode
Abstract
In view of the wide range of majors involved in the electronics courses and the fact that there are many students in our college, the relevant practical training links have lacked a scientific and reasonable comprehensive ability assessment and evaluation model. This article applies the cloud model theory to the practice training assessment and evaluation of electrical courses. We aim to establish a set of fair, reasonable, scientific and standardized comprehensive ability assessment and evaluation model, which can accurately reflect the effect of practical teaching, comprehensively evaluate the level of knowledge, and ability and quality of students. Meanwhile, it help to cultivate innovative talents, promoting the comprehensive advancement of practical teaching reform.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
2 November 2020
ISBN
978-94-6239-266-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.201030.036How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guosheng Ma
AU  - Jiang Wang
AU  - Rui Dong
PY  - 2020
DA  - 2020/11/02
TI  - The Research on the Comprehensive Ability Evaluation Model of RF Electronic Technology Experiment Course
BT  - 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
PB  - Atlantis Press
SP  - 172
EP  - 178
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201030.036
DO  - https://doi.org/10.2991/assehr.k.201030.036
ID  - Ma2020
ER  -