EXO-OLO Task Learning Model: Improving Learning Activities and Student’s Collaboration In Geography Learning Based On Lesson Study
Abstract
Aims of this paper was to find out the improvement of learning activities and collaboration in geography learning in the “dynamics of the atmosphere and its effects on life” topic through the application of EXO-OLO Task learning model. This learning model was developed in the author's dissertation research and based on cognitive and constructivist learning theory. It is also included in collaborative learning model. The type of the research is quasi experimental research. The populations of the study are students of grade tenth of Universitas Negeri Padang Laboratory High School. The experimental class and the control class were selected by simpel random sampling techniques. The treatment in the experimental class (XA) is using the EXO-OLO Task learning model, while in the control class (XB) using the common method which is used by teachers. The data is collected by using observation sheet of student’s learning and collaborative activities as well as student’s daily test (UH). The observation sheet has been validated by the experts. The data analysis of student’s learning and collaborative activities uses descriptive technique. In addition, the ‘t’ test is used to get to know the differences of learning outcomes between experiment class and control class. The result shows that there is an improvement in the quality of learning activities and student’s collaboration using the EXO-OLO Task learning model. This is proved by the increasing of the number of students who got three in learning activities and collaboration after four meetings. The quality of student’s learning activites increases as expected. The "t" test results show the differences between experimental class and control class learning outcomes proved by significance values. Based on the results of this study, the authors propose the teachers to use EXO-OLO Task learning model in geography learning to improve learning activities and collaboration.
- Publication:
-
IOP Conference Series: Earth and Environmental Science
- Pub Date:
- November 2019
- DOI:
- 10.1088/1755-1315/338/1/012044
- Bibcode:
- 2019E&ES..338a2044N