Research Article
Analysis of learner group characteristics and intervention strategies in virtual learning communities under the xAPI standard
@INPROCEEDINGS{10.4108/eai.23-12-2022.2329130, author={Shang Kong and Degang Yang and Dewen Kong}, title={Analysis of learner group characteristics and intervention strategies in virtual learning communities under the xAPI standard}, proceedings={Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China}, publisher={EAI}, proceedings_a={ITEI}, year={2023}, month={6}, keywords={virtual learning communities; learner behavior analysis; xapi;}, doi={10.4108/eai.23-12-2022.2329130} }- Shang Kong
Degang Yang
Dewen Kong
Year: 2023
Analysis of learner group characteristics and intervention strategies in virtual learning communities under the xAPI standard
ITEI
EAI
DOI: 10.4108/eai.23-12-2022.2329130
Abstract
At present, there are problems such as low learning efficiency and poor learning effect of learners in the field of virtual learning communities. How to accurately analyze the learning characteristics of learner groups in virtual learning communities and provide differentiated learning enhancement strategies for learners has become a hot spot in the current research on virtual learning communities. This paper introduces the emerging xAPI standard in the field of data collection and storage, and proposes a model for analyzing the learning characteristics of learner groups applied to virtual learning communities based on previous research, and conducts specific experiments based on this model to cluster the learner groups in virtual learning communities and analyze them from multiple perspectives with different learning characteristics. We propose differentiated intervention strategies in order to provide suggestions for the relevant teaching staff and provide a better basis for the development of virtual learning community education.
