Journal
The Effectiveness of Learning to Write Poetry with The Student Team Achievement Division (STAD) Model
Journal of Primary Education · Vol. 8 No. 3 (2018) · pp. 248–253
- ISSN
- 2502-4515, 2252-6404
- Published
- 2018-10-13
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Various problems in learning to write poetry are factors that trigger the low ability to write poetry for fifth grade students of SD Negeri in Kedungjati District. Problems experienced by students in learning to write poetry include teacher explanations that tend to be boring, motivation, difficult to express ideas, and the most problematic problems for students are learning models that tend to be monotonous. Effective learning models become one of the important factors for teachers or students in improving students' ability to write the poem. One learning model that can improve students' writing skills is Student Team Achievement Divisions (STAD) learning model, because the STAD model can collaborate several language skills, and requires students to work together in groups. The purpose of this research was to determine the effectiveness of learning to write poetry with the STAD model. This research uses a quasi-experimental method. The subject of this research was the fifth grade students of elementary school in Kedungjati Subdistrict 2017/2018 Academic Year. Data collection uses tests and non-tests. Data analysis techniques using t test with the help of SPSS program. The results of learning to write poetry between before and after being given learning to write poetry with the STAD model with the acquisition of t count = 7.848 with sig < 0.05. The results of this research indicate that learning to write poetry with the STAD model can effectively improve students' poetry writing skills.
Collaboration network of the authors
40 authors · 102 co-authorship links · showing the 40 most connected
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- Universitas Amikom Purwokerto
- 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 |
|---|---|---|
| Agus Nuryatin | Affiliation unknown | 15 |
| Nas Haryati Setyaningsih | Affiliation unknown | 8 |
| Mulyono Mulyono | Affiliation unknown | 5 |
| Bambang Indiatmoko | Affiliation unknown | 4 |
| Sungging Widagdo | Affiliation unknown | 3 |
| Subyantoro Subyantoro | Affiliation unknown | 3 |
| Yusro Edy Nugroho | Affiliation unknown | 3 |
| Haryadi Haryadi | Affiliation unknown | 3 |
| Rustono Rustono | Affiliation unknown | 2 |
| Suminto A. Sayuti | Affiliation unknown | 2 |
| U’um Qomariyah | Affiliation unknown | 2 |
| Sumartini Sumartini | Affiliation unknown | 2 |
| RM. Teguh Supriyanto | Affiliation unknown | 2 |
| Sri Iswidayati | Affiliation unknown | 1 |
| Fivin Bagus Septiya Pambudi | Affiliation unknown | 1 |
| Titi Prihatin | Affiliation unknown | 1 |
| Laila Nurul Sufa | Affiliation unknown | 1 |
| Suratno Suratno | Affiliation unknown | 1 |
| Moh Fathurrahman | Affiliation unknown | 1 |
| Muhamad Burhanudin | Affiliation unknown | 1 |
| Dhoni Zustiyantoro | Affiliation unknown | 1 |
| Mukhammad Nur Rokhim | Affiliation unknown | 1 |
| Yacinta Kurniasih | Affiliation unknown | 1 |
| Dian Nuzulia Armariena | Affiliation unknown | 1 |
| Edward Harrington | Affiliation unknown | 1 |
| Mimi Mulyani | Affiliation unknown | 1 |
| Asrofah Asrofah | Affiliation unknown | 1 |
| S. Prasetyo Utomo | Affiliation unknown | 1 |
| Turahmat Turahmat | Affiliation unknown | 1 |
| Ismi Nur Afifah | Affiliation unknown | 1 |
| Ervitri Marheni | Affiliation unknown | 1 |
| Akhmad Junaedi | Affiliation unknown | 1 |
| Tri Astuti | Universitas Amikom Purwokerto | 1 |
| Ika Ratnaningrum | Affiliation unknown | 1 |
| Fika Nafissa Nur Miftakhur Rizqi | Affiliation unknown | 1 |
| Eka Titi Andaryani | Affiliation unknown | 1 |
| Desi Lisufiana | Affiliation unknown | 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.