Jurnal
Learning Cycle 7e Model - Based Multiple Representation to Reduce Misconseption of The Student on Heat Theme
Journal of Innovative Science Education · Vol. 7 No. 1 (2018) · hlm. 45–52
- ISSN
- 2502-4523, 2252-6412
- Terbit
- 2018-03-27
- Penerbit
- Universitas Negeri Semarang
- Bahasa
- eng
Abstrak
Students' success is determined by the conceptual that has been owned by the students while studying certain theme. New concepts will be elusive if the relevant concepts have not been owned by the students. Based on the observation and interview in SMP Negeri 1 Doro indicated that the heat concept is one of the elusive concept in science learning by the students. This study aims to: (1) describe the misconception experienced by students on the heat theme using a diagnostic test that is three-tier multiple choice, (2) determine the implementation of learning cycle 7E model-based multiple representation on the heat theme, (3) determine the effectiveness of the application of the learning cycle 7E model-based multiple representation in reducing misconceptions students on the heat theme. This study used a mixed method research with concurrent triangulation strategy. The identification results of students misconceptions on the heat theme obtained by average percentage of students' conceptions in the category Know the Concept (TK) is 43.44%. The average percentage of students' conceptions in the category Don’t Know the Concepts (TTK) is 15.31%. The average percentage of all misconceptions (MK) experienced by students in heat theme is 41.26%. Sub heat themes that most experienced misconceptions are ice melt events, boiling water events, heat calculations in the chart, the specific heat of water and oil, the absorption and release of heat, and the relationship of the specific heat with temperature changes. The implementation of learning cycle 7E model-based multiple representation obtained by the average percentage of 84.67% with the criteria very well. Learning cycle 7E model-based multiple representation became effective in reducing students misconceptions on the heat theme due to the decrease percentage of students misconceptions in the experimental class 18.72% is higher than the control class which only 9.68%. The analysis calculation result of the Equal Variance Assumed against independent sample of t test towards the decrease of misconceptions level indicate significance (2-tailed) of 0.003 < 0.05, which means that there are differences in average reduction of misconceptions in the experimental class and control class. Students' success is determined by the conceptual that has been owned by the students while studying certain material. New concepts will be elusive if the relevant concepts have not been owned by the students. Based on the observation and interview in SMP Negeri 1 Doro indicated that the heat concept is one of the elusive concept in science learning by the students. This study aims to: (1) describe the misconception experienced by students on the heat material using a diagnostic test that is three-tier multiple choice,(2) determine the implementation of learning cycle 7E model-based multiple representation on the heat material, (3) determine the effectiveness of the application of the learning cycle 7E model-based multiple representation in reducing misconceptions students on the heat material. This study used a mixed method research with concurrent triangulation strategy. The identification results of students misconceptions on the heat material obtained by average percentage of students' conceptions in the category Know the Concept (TK) is 43.44%. The average percentage of students' conceptions in the category Don’t Know the Concepts (TTK) is 15.31%. The average percentage of all misconceptions (MK) experienced by students in heat material is 41.26%. Sub heat materials that most experienced misconceptions are ice melt events, boiling water events, heat calculations in the chart, the specific heat of water and oil, the absorption and release of heat, and the relationship of the specific heat with temperature changes. The implementation of learning cycle 7E model-based multiple representation obtained by the average percentage of 84.67% with the criteria very well. Learning cycle 7E model-based multiple representation became effective in reducing students misconceptions on the heat material due to the decrease percentage of students misconceptions in the experimental class 18.72% is higher than the control class which only 9.68%. The analysis calculation result of the Equal Variance Assumed against independent sample of t test towards the decrease of misconceptions level indicate significance (2-tailed) of 0.003 <0.05, which means that there are differences in average reduction of misconceptions in the experimental class and control class.
Jaringan kolaborasi para penulis
40 penulis · 186 tautan kepenulisan bersama · 7 lintas organisasi · menampilkan 40 yang paling banyak terhubung
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- State University of Semarang
- University of Indonesia
- University of Szeged
- National Research and Innovation Agency
- Afiliasi tidak diketahui
- Organisasi berbeda
- Organisasi sama
- Afiliasi tidak diketahui
- Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
| Rekan penulis | Organisasi | Artikel bersama |
|---|---|---|
| Ani Rusilowati | State University of Semarang | 8 |
| Lisdiana Lisdiana | Afiliasi tidak diketahui | 4 |
| Arif Widiyatmoko | State University of Semarang | 3 |
| Hartono Hartono | Afiliasi tidak diketahui | 3 |
| Sunyoto Eko Nugroho | State University of Semarang | 3 |
| Masturi Masturi | State University of Semarang | 3 |
| Bambang Subali | Afiliasi tidak diketahui | 3 |
| Isa Akhlis | State University of Semarang | 3 |
| Budi Astuti | Afiliasi tidak diketahui | 3 |
| Saiful Ridlo | State University of Semarang | 2 |
| Navies Luthvitasari | Afiliasi tidak diketahui | 2 |
| Putut Marwoto | State University of Semarang | 2 |
| Achmad Sopyan | Afiliasi tidak diketahui | 2 |
| Siti Alimah | State University of Semarang | 2 |
| Sulhadi Sulhadi | Afiliasi tidak diketahui | 2 |
| Sigit Saptono | State University of Semarang | 2 |
| Ellianawati Ellianawati | State University of Semarang | 2 |
| Wiwi Isnaeni | State University of Semarang | 2 |
| Hardi Suyitno | Afiliasi tidak diketahui | 2 |
| . Hartono | Afiliasi tidak diketahui | 2 |
| Hadi Susanto | National Research and Innovation Agency | 2 |
| Mosik Mosik | Afiliasi tidak diketahui | 2 |
| Supriyadi Supriyadi | Afiliasi tidak diketahui | 2 |
| Khumaedi Khumaedi | Afiliasi tidak diketahui | 2 |
| Novi Ratna Dewi | State University of Semarang | 2 |
| Prasetyo Listiaji | University of Szeged | 2 |
| Nathan Hindarto | State University of Semarang | 2 |
| Murbangun Nuswowati | State University of Semarang | 2 |
| Woro Sumarni | State University of Semarang | 2 |
| Sri Haryani | Afiliasi tidak diketahui | 2 |
| Eko Purwanti | Afiliasi tidak diketahui | 2 |
| Muhammad Hanif Nadhif | University of Indonesia | 1 |
| Hanif Assyarify | Afiliasi tidak diketahui | 1 |
| Em Yunir | University of Indonesia | 1 |
| Tri Juli Edi Tarigan | University of Indonesia | 1 |
| Angela Sarumpaet | University of Indonesia | 1 |
| Eni Iswati | University of Indonesia | 1 |
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