SPOC Forum Interaction Behavior Pattern Mining and Learning Effectiveness Analysis
Forums are one of the auxiliary tools for formal learning,which can be used to promote communication among members.Some studies have shown that students'performance in forums is strongly related to their learning outcomes.However,in specific practice,there are such phenomena as lack of interaction and low level of interaction participation.This research is based on the online forum data in the"Educational Technology Research Method"SPOC hybrid classroom as the research object,mining their interactive behavior patterns,and quantitatively exploring their impact on learning outcomes.Firstly,the literature analysis method is used to sort out and analyze the current research situation at home and abroad.Secondly,social network analysis was used to characterize the learners participating in interaction in the forum,and data statistical analysis tools were used to cluster the types of learners.Learners were divided into active learners,followers,and silent learners.A quantitative analysis was conducted on the number of interactions and academic performance of these three types of learners in the forum.Finally,the semantic analysis method was used to analyze learners'emotions,and the correlation between the emotions of different types of learners and their academic performance was analyzed.Research has shown that in mixed classrooms,there is no correlation between the frequency of interaction between different types of learners and their course performance,while there is a significant correlation between the frequency of emotional words and their course performance.Therefore,three mixed classroom forum learning strategies are proposed to provide reference for improving the quality of learners'participation in forum learning.
NETL
NSTL
万方数据
维普
