Work

Exploring the Blended Learning Model in the Course of Data Collection and Processing

Year: 2024

Type: article

Abstract: Addressing issues in traditional teaching, such as limited teaching resources, insufficient depth of content, low student motivation, poor autonomous learning ability, and delayed feedback on teaching outcomes, this paper proposes a blended learning model for the Data Collection and Processing course. The online component provides PPTs, teaching videos, and surveys, while the in-class sessions focus on explaining key and difficult points, group discussions, and practical exercises. After class, tests are designed,and evaluations of the teaching content are conducted.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14221573

Author: Yang Shanshan

Language: English

Topic: Online and Blended Learning

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W6911813997

FWCI:

Cites:

Cited by:

Related to: