Jurnal SINTA 1
Implementation of 5E Plus Learning Model on Energy Subject Matter to Improve Students’ Argumentation Skills
Jurnal Pendidikan IPA Indonesia · Vol. 11 No. 2 (2022) · pp. 237–245
- ISSN
- 2089-4392, 2339-1286
- Published
- 2022-06-30
- Publisher
- Program Studi Pendidikan IPA Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA)
- Language
- eng
Abstract
Argumentation skills consist of 2 elements: skills to construct arguments and implement them. However, some studies show that students’ argumentation skills were low. This study proposed the 5E Plus learning model to improve students’ argumentation skills. The model consists of an element named Enliven and six syntaxes: Orientation, Engagement, Exploration, Explanation, Elaboration, and Evaluation. This study aimed to investigate the effectiveness of the 5E Plus learning model in improving students’ argumentation skills. This study used Energy subject matter (which consisted of 3 topics, Mechanical, Heat, and Electrical Energy). The study’s sample consisted of 40 1st semester college students from the Natural Science department and was taken randomly. We used One-Group Pretest-Posttest as a research design and collected data using an argumentation skills test. The data was examined using an Independent sample t-test to determine the effectiveness of the 5E Plus learning model. The results were: 1) the 5E Plus learning model was effective for improving students’ argumentation skills, 2) All components of students’ argumentation skills were successfully improved, which warrant experienced the highest improvement, 3) Students’ argumentation skills in all three topics were successfully improved, which in Mechanical Energy topic the skills experienced the highest improvement.
Keywords
Collaboration network of the authors
33 authors · 87 co-authorship links · 27 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Sebelas Maret University
- State University of Semarang
- Yogyakarta State University
- Universiti Brunei Darussalam
- National University of Malaysia
- University of Malaya
- Universitas Katolik Indonesia Santu Paulus Ruteng
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Idam Ragil Widianto Atmojo | Sebelas Maret University | 3 |
| Riezky Maya Probosari | Sebelas Maret University | 3 |
| Ashadi Ashadi | Sebelas Maret University | 3 |
| S. Sutikno | State University of Semarang | 2 |
| Sri Widoretno | Sebelas Maret University | 2 |
| Sri Dwiastuti | Sebelas Maret University | 2 |
| Dini Yuli Saputri | Sebelas Maret University | 2 |
| R. Etviana | Sebelas Maret University | 2 |
| Baskoro Adi Prayitno | Sebelas Maret University | 2 |
| Roy Ardiansyah | Affiliation unknown | 1 |
| Dwi Yuniasih Saputri | Affiliation unknown | 1 |
| Roslinawati Mohd Roslan | Universiti Brunei Darussalam | 1 |
| Lilia Halim | National University of Malaysia | 1 |
| Sarwanto Sarwanto | Sebelas Maret University | 1 |
| Wahyuni Purnami | Sebelas Maret University | 1 |
| Bambang Sumintono | University of Malaya | 1 |
| Y. Wahyu | Universitas Katolik Indonesia Santu Paulus Ruteng | 1 |
| Edi Istiyono | Yogyakarta State University | 1 |
| Siti Salina Mustakim | Universiti Putra Malaysia | 1 |
| Widihastuti Widihastuti | Yogyakarta State University | 1 |
| Taufiq Satria Mukti | Affiliation unknown | 1 |
| Afandi Afandi | Sebelas Maret University | 1 |
| Muhammad Akhyar | Sebelas Maret University | 1 |
| Nunuk Suryani | Sebelas Maret University | 1 |
| P. Parmin | State University of Semarang | 1 |
| Fidia Fibriana | State University of Semarang | 1 |
| Annisa Nur Khasanah | Sebelas Maret University | 1 |
| Ade Cyntia Pritasari | Sebelas Maret University | 1 |
| Parmin Parmin | State University of Semarang | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.