Repo Dosen ULM

Peer Riview : Computer Support Collaborative Learning-Retrosynthetic Analysis Model to Improve Students Problem Solving Ability

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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


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