Work

Blended teaching of university mathematics courses based on Online Merge Offline model

Year: 2025

Type: article

Abstract: In order to study the impact of Online Merge Offline (OMO) hybrid teaching model on college mathematics courses, the article constructs a new hybrid teaching model based on the OMO model and evaluates it using a modified oriented evaluation model based on an improved multi-party weighting index algorithm (Context Evaluation-Input Evaluation-Process Evaluation-Product Evaluation, CIPP), to evaluate it. The results show that the entropy method is better in the improved CIPP evaluation model, and the correct rate of the entropy method is 93.25 %. The improved correlation algorithm takes less time and is faster, with the average time of the improved correlation algorithm being 100ms and the lowest time of the original correlation algorithm being 300ms. The hybrid teaching mode is more excellent than the traditional teaching mode, and the rate of student achievement in the hybrid teaching mode is 49.9 higher than the rate of student achievement in the traditional teaching mode.

Source: Systems and Soft Computing

DOI: 10.1016/j.sasc.2025.200222

Authors: Yuping Zhang, Changzhou Dong

Institution: Hebei GEO University

Language: English

Topic: Online and Blended Learning

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,870