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Reading Concept Map-Think Pair Share (Remap-TPS) Learning Model on Cognitive Ability and Scientific Attitude Agus Jatmiko; Yesilia Kartina; Irwandani Irwandani; Jamal Fakhri; Agitha Pricilia; Titik Rahayu
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 3, No 2 (2018): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (523.355 KB) | DOI: 10.24042/tadris.v3i2.3184

Abstract

The recent integration of learning models in the learning process has become the focus of science education experts, especially in Indonesia, such as the adoption of the Reading-Concept Map Think Pair Share (Remap TPS) learning model. This study aims to improve the students’ cognitive abilities, and scientific attitudes through the Reading-Concept Map Think Pair Share model. The study was conducted to junior high school students by employing Quasi-experimental with Non-equivalent Control Group Design. The instruments used were multiple choice tests and observation sheets. The result of the research shows that the students’ cognitive ability is in the medium category with an N-gain value of 0.47. Based on this result, it can be concluded that the Remap TPS learning influences the students’ cognitive ability. The obtained average percentage score of the students’ scientific attitudes is 81.76% which belongs to the very good category. Thus, it can be concluded that this study provides important implications for educators to be more creative in designing learning models in order to improve the students’ cognitive abilities and scientific attitudes.
Knowledge Level and Self-Confidence on The Computational Thinking Skills Among Science Teacher Candidates Titik Rahayu; Kamisah Osman
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 8, No 1 (2019): Jurnal Ilmiah pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4716.363 KB) | DOI: 10.24042/jipfalbiruni.v8i1.4450

Abstract

The trending topic in today's education is computational thinking skills which are used to help to solve complicated problems easier. This study aims to identify the level of knowledge and self-confidence of science teacher candidates (physics and biology) on computational thinking skills. The survey research design was used through a mixed-method approach by combining quantitative and qualitative approaches. The quantitative study involved 1016 randomly selected groups of science teachers while in the qualitative study, eight science teachers were chosen based on the scores obtained from the quantitative study. The questionnaire was used as a quantitative data collecting technique to analyze descriptive statistics. Then, an interview was used as the qualitative data collecting technique and was analyzed through theme creation. The findings show that science teacher candidates have a high level of knowledge and self-confidence. The implication of this study is very important for teacher candidates because computational thinking can help to facilitate problems solving in everyday life. Teacher candidates need to be given knowledge and understanding of computational thinking skills, to have readiness and self-confidence in facing the challenges of the learning in the 21st-century
Knowledge Level and Self-Confidence on The Computational Thinking Skills Among Science Teacher Candidates Titik Rahayu; Kamisah Osman
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 8, No 1 (2019): Jurnal Ilmiah pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v8i1.4450

Abstract

The trending topic in today's education is computational thinking skills which are used to help to solve complicated problems easier. This study aims to identify the level of knowledge and self-confidence of science teacher candidates (physics and biology) on computational thinking skills. The survey research design was used through a mixed-method approach by combining quantitative and qualitative approaches. The quantitative study involved 1016 randomly selected groups of science teachers while in the qualitative study, eight science teachers were chosen based on the scores obtained from the quantitative study. The questionnaire was used as a quantitative data collecting technique to analyze descriptive statistics. Then, an interview was used as the qualitative data collecting technique and was analyzed through theme creation. The findings show that science teacher candidates have a high level of knowledge and self-confidence. The implication of this study is very important for teacher candidates because computational thinking can help to facilitate problems solving in everyday life. Teacher candidates need to be given knowledge and understanding of computational thinking skills, to have readiness and self-confidence in facing the challenges of the learning in the 21st-century