Jurnal SINTA 1
The Effectiveness of the Think-Pair-Project-Share (TP2S) Model in Facilitating Self Directedness of Prospective Science Teachers
Jurnal Pendidikan IPA Indonesia · Vol. 13 No. 2 (2024)
- ISSN
- 2089-4392, 2339-1286
- Published
- 2024-07-11
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Self-directedness is a crucial skill for prospective science teachers, and the Think-Pair-Project-Share (TP2S) model has shown promise in fostering collaboration and critical thinking. This aim study to investigates the effectiveness of TP2S in promoting self-directed learning among these future educators. This research aims to determine the effectiveness of the think-pair-project-share (TP2S) learning model in facilitating the self-directedness of prospective science teachers. This quantitative research uses a nonequivalent control group design. The population in this study were second semester students, while the research sample consisted of 72 students. The self-directedness data collection technique uses an instrument in the form of a scale. Based on the results of the paired sample T test, it can be seen that both experimental classes obtained a Sig value. (2-tailed) 0.000. It can be concluded that the paired sample T test value in the experimental class is 0.000<0.05 so that there is a significant difference in results between the pretest and posttest scores (H0 is rejected). It can be concluded that there is a difference in self-directedness between students who study human and environmental subjects using the think pair project share model and those who use the conventional model. It is known that the application of the TP2S learning model has an effect on the self-directedness of prospective science teachers. The implications of this research support and strengthen the results of theoretical studies that the TP2S learning model is a student-centered learning model that utilizes the ability to manage learning strategies independently.
Keywords
Collaboration network of the authors
33 authors · 76 co-authorship links · 17 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Sebelas Maret University
- National University of Malaysia
- State University of Semarang
- Universiti Brunei Darussalam
- Universitas Syiah Kuala
- 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 |
|---|---|---|
| Suranto Suranto | Sebelas Maret University | 4 |
| Riezky Maya Probosari | Sebelas Maret University | 2 |
| Ashadi Ashadi | Sebelas Maret University | 2 |
| 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 |
| Doni Ropawandi | National University of Malaysia | 1 |
| Hazrati Binti Husnin | National University of Malaysia | 1 |
| Bertha Wikara | Sebelas Maret University | 1 |
| S. Sutarno | Sebelas Maret University | 1 |
| Baskoro Adi Prayitno | Sebelas Maret University | 1 |
| Asmaa’ Mohd Arshad | National University of Malaysia | 1 |
| Nurfarahin Nasri | National University of Malaysia | 1 |
| N. Karim | Universiti Brunei Darussalam | 1 |
| Afandi Afandi | Sebelas Maret University | 1 |
| Muhammad Akhyar | Sebelas Maret University | 1 |
| Nunuk Suryani | Sebelas Maret University | 1 |
| Lilia Ellany Mohtar | National University of Malaysia | 1 |
| Muhammad Syukri | Universitas Syiah Kuala | 1 |
| S Soewarno | Universitas Syiah Kuala | 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.