3 research outputs found
A study on the influence of Korean middle school students' relationship through science class applying STAD cooperative learning
In order to find out the influence of Korean Middle School Studentsâ relationship by science class applying STAD cooperative learning, this study conducted a social network analysis and sought to analyze the communication networks within the group and identified the change process of the type. The subject of this study was 30 students of the second grade at the girlsâ middle school located in Koreaâs Metropolitan City. For five weeks, science class applying STAD Cooperative Learning was implemented in the âreproduction and generationâ chapter. First, the class social network analysis showed that all the prices of density, degree centrality, closeness centrality, and betweenness centrality have risen after science class applying STAD Cooperative Learning. Also, the classroomâs relationship index has improved. In other words, STAD Cooperative Learning encouraged interaction among students. Second, in order to research popularity, studentsâ centrality analysis through the class social network analysis showed that top-ranked studentsâ values of density, degree centrality, closeness centrality, and betweenness centrality appeared commonly high after science class applying STAD Cooperative Learning. Third, the analysis of the communication network change within six groups showed that all channel type appeared most often and circle type also appeared anew after science class applying STAD Cooperative Learning. In other words, it was possible to exchange information freely and communicate with all members of the group through STAD Cooperative LearningPeer Reviewe
Elearning, Communication and Open-data: Massive Mobile, Ubiquitous and Open Learning
ABSTRACT: In MOOCs, learning analytics have to be addressed to the various types of learners that participate. This deliverable describes indicators that enable both teachers and learner to monitor the progress and performance as well as identify whether there are learners at risk of dropping out. How these indicators should be computed and displayed to end users by means of dashboards is also explained. Furthermore a proposal based on xAPI statements for storing relevant data and events is provided
ECO D2.5 Learning analytics requirements and metrics report
In MOOCs, learning analytics have to be addressed to the various types of learners that participate. This deliverable describes indicators that enable both teachers and learner to monitor the progress and performance as well as identify whether there are learners at risk of dropping out. How these indicators should be computed and displayed to end users by means of dashboards is also explained. Furthermore a proposal based on xAPI statements for storing relevant data and events is provided.Part of the work carried out has been funded with support from the European Commission, under the ICT Policy Support Programme, as part of the Competitiveness and Innovation Framework Programme (CIP) in the ECO project under grant agreement n° 21127