Research on OBE Online Teaching Mode Combined with Expression Recognition—Taking Digital Image Processing Course as an Example
6th International Symposium on Emerging Technologies for Education, SETE 2021
; 13089 LNCS:232-241, 2021.
Article
in English
| Scopus | ID: covidwho-1700559
ABSTRACT
Although the engineering education has been widely developed in China, the training for engineers cannot completely satisfy the requirements from the society. The output-based education (OBE) designs education process according to the results of education so that students can have a certain level of ability when they graduate. However, influenced by the COVID-19 pandemic, plenty of offline practical activities have changed to online ones. Thus, the digital image processing course is taken as an example, and the online class video is taken as the test data for students to do practical experiments. Moreover, an algorithm extracting harr-like features to detect face and recognize expression is applied. The eyes are further extracted from the detected face images to calculate the ratio of width and height, and then the students’ studying state can be determined. The experimental results demonstrate that the algorithm can help teachers understand the students’ state and improve the teaching efficiency. Moreover, the OBE online teaching mode can improve the students’ practical ability. © 2021, Springer Nature Switzerland AG.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
6th International Symposium on Emerging Technologies for Education, SETE 2021
Year:
2021
Document Type:
Article
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