dc.contributor.author |
Iriani, Rilia |
|
dc.date.accessioned |
2021-04-20T08:23:07Z |
|
dc.date.available |
2021-04-20T08:23:07Z |
|
dc.date.issued |
2020 |
|
dc.identifier.uri |
https://repo-dosen.ulm.ac.id//handle/123456789/19575 |
|
dc.description.abstract |
Problems encountered are too difficult for students to understand organic chemistry, including stereochemistry, organic reaction synthesis. So, we need a way to overcome this problem in order to increase the quality of learning processes through the implementation of the multimodel Computer Support Collaboration Learning-Retrosynthetic Analysis (multimodel CSCL-RA) in organic chemistry. This study is action research with descriptive qualitative approach with students of Organic Chemistry III in Chemical Education Program, ULM. Thirty pair dyads of students participated in a problem task. The instrument of research was in the form of problem-solving ability and cognition test instrument, observation sheet of teacher and student activity. Data were analyzed using percentage of students' problem-solving ability and achievement. The results showed that the implementation of CSCL-RA multimodel in organic chemistry increased the quality of learning with indicators of increasing students' problem-solving abilities and learning outcomes. The implication for future research could provide further: (1) students' interactions in CSCL, (2) CSCL with metacognitive training in problem-solving |
en_US |
dc.publisher |
Jurnal of Physics Conference Publishing |
en_US |
dc.relation.ispartofseries |
1422 012014; |
|
dc.subject |
Research Subject Categories::NATURAL SCIENCES::Chemistry |
en_US |
dc.subject |
Research Subject Categories::SOCIAL SCIENCES::Social sciences::Education |
en_US |
dc.title |
Peer Riview : Computer Support Collaborative Learning-Retrosynthetic Analysis Model to Improve Students Problem Solving Ability |
en_US |
dc.type |
Other |
en_US |