Author :
Lai, Chien-Hung ; Jong, Bin-Shyan ; Hsia, Yen-Teh ; Lee, Pai-Feng ; Chan, Te-Yi
Abstract :
The strategies of cooperative learning have students help each other and make up for each other´s learning differences, in order to enhance personal learning achievement and achieve learning objectives. Therefore, educators use the online platform to aid teaching, students can do various learning activities and discuss with classmates on the platform. Online platform not only provide students to learn the material, but also use the system to record the learning activities of students on the platform, students can also seek the assistance of peers on the platform. However, the discussion activities of the learning issues for each student are not necessarily structured type on learning platform, how do get information from the online discussion activities of students, discussion activities of the quantitative and qualitative analysis has become an important research topic. The study is based on Liu and Tsai proposed the interactive model as the cooperative learning group interaction on the classification, the paper is a way of observing and analyzing manually to determine the interaction patterns of each group. The study design the questionnaire of interactive mode, it can used automatic classification of group interaction scale, in order to reduce the load on manual observation and analysis. To ensure the interaction questionnaire can actually classified the interactive model, the study used statistical package for social science to verify reliability and validity of the subject content of the interaction questionnaire, in order to effectively grasp the cognition of student interaction.
Keywords :
computer aided instruction; pattern classification; peer-to-peer computing; statistical analysis; cooperative learning group interaction; group interaction scale classification; learning objective; learning platform; online platform; peer interaction; personal learning achievement; social science; statistical package; student interaction; teaching; Analytical models; Cities and towns; Conferences; Eigenvalues and eigenfunctions; Loading; Operating systems; Reliability; cooperative learning; online platform; peer interaction;