Teaching Reform and Practice of “Sensor and Detection Technology” Course Based on “Specialty and Innovation Integration” and Project-Based Education

Lv, Deshen; Zhang, Ying

doi:10.1007/978-3-031-36118-0_88

Lecture Notes on Data Engineering and Communications Technologies

2023

DOI: 10.1007/978-3-031-36118-0_88

|View full text |Cite

Teaching Reform and Practice of “Sensor and Detection Technology” Course Based on “Specialty and Innovation Integration” and Project-Based Education

Deshen Lv,

Ying Zhang

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Research on Digital Teaching Resources Development and Personalized Teaching in Sensor Courses

Hou,

Li,

Wei

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

In the era of rapid development of computer technology and education technology, personalized teaching can provide learners with learning content that meets their needs and achieves the teaching purpose of “tailor-made teaching”. In this paper, the MOB method is used to reorganize and describe digital teaching resources after the coding process so as to achieve the development and management of digital teaching resources in sensor courses. Then, the hybrid differential evolution algorithm is used to cluster similar learning resources and learners in the learning process, and the recommendation of personalized digital teaching resources in sensor courses for students is realized through the operations of mutation and selection. Based on this, a personalized teaching model is constructed for teaching sensor courses. After testing, the personalized teaching model was found to be able to accurately analyze the learners’ knowledge of each knowledge point, and its accuracy is much better than the benchmark model. The empirical analysis shows that after applying the personalized teaching model to assist teaching, the average score of students’ sensor course test scores increased from 65.26 to 90.22 (P<0.01), and their learning attitudes were also significantly improved. This paper can provide teachers and administrators with some new ideas about optimizing classroom teaching practices and provide references for implementing and promoting classroom teaching reform in schools.

show abstract

Research on Digital Teaching Resources Development and Personalized Teaching in Sensor Courses

Hou,

Li,

Wei

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Teaching Reform and Practice of “Sensor and Detection Technology” Course Based on “Specialty and Innovation Integration” and Project-Based Education

Cited by 1 publication

References 10 publications

Research on Digital Teaching Resources Development and Personalized Teaching in Sensor Courses

Research on Digital Teaching Resources Development and Personalized Teaching in Sensor Courses

Contact Info

Product

Resources

About