Evaluation of the Effectiveness of Hybrid Learning Activities Based on a Learning Community Network

Abstract

Hybrid Learning Community Network (HLCN) can link individuals to collectives systematically, support both virtual and actual scenarios, and share and trade knowledge, experience, and learning resources. Existing studies on HLCN are mostly theoretical research, there’re very few empirical evidences, and the integrity of the research systems is yet to be improved further. In view of these shortcomings, this paper proposed a theoretical model for HLCN and built an Evaluation Index System (EIS) for assessing the effectiveness of the hybrid learning activities and analyzing the feature parameters and centrality of the HLCN. Then in the paper, a Hybrid Learning Interactive Activity Content Network Relation (HL-IAC-NR) matrix was established based on learning community, and the indexes such as students’ learning attention on knowledge points and their learning sentiments were attained. At last, this paper used the Charnes-Cooper-Rhodes (CCR) model in Data Envelope Analysis (DEA) to evaluate the relative effectiveness, and the real-time effects of different types of hybrid learning interactive activities were analyzed. The effectiveness of the proposed model and evaluation method was verified via experiments.