Open access Jurnal
The Use Of The Fishbowl Technique In Teaching English Speaking Skills: A Library Research Study
ELS Journal on Interdisciplinary Studies in Humanities · Vol. 9 No. 1 (2026) · pp. 115–122
- ISSN
- 2621-0835, 2621-0843
- Published
- 2026-03-09
- Publisher
- Hasanuddin University
- Language
- en
Abstract
This study aims to analyze previous research on the implementation of the Fishbowl Technique in teaching speaking skills. Specifically, the study seeks to examine how the Fishbowl Technique is applied in speaking instruction across different educational levels and to identify its effects on students’ speaking performance. This research employed a qualitative library research design by reviewing five scientific studies published between 2019 and 2025. The selected studies were analyzed to identify common practices, variations in implementation, and reported outcomes related to the use of the Fishbowl Technique. The results of the analysis indicate that the Fishbowl Technique was implemented in similar ways across the reviewed studies, although minor differences were found in classroom procedures and student grouping. In general, the technique provided structured opportunities for students to speak actively while other students observed and learned from the interaction. The findings show that the Fishbowl Technique had a positive impact on students’ speaking skills, particularly in improving fluency, participation, and confidence. Students became more willing to express their ideas and engage in classroom discussions. Overall, the reviewed studies demonstrate that the Fishbowl Technique effectively promotes active speaking practice and enhances classroom interaction, making it a beneficial strategy for teaching speaking skills.
Keywords
Collaboration network of the authors
40 authors · 91 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- STKIP Taman Siswa Bima
- Universitas Halu Oleo
- 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 |
|---|---|---|
| Andi Patmasari | Affiliation unknown | 4 |
| Mafulah Mafulah | Affiliation unknown | 4 |
| Mochtar Marhum | Affiliation unknown | 3 |
| Mashuri Mashuri | Affiliation unknown | 2 |
| Melisa Melisa | Affiliation unknown | 2 |
| Wildan Zahen Da'im | Affiliation unknown | 2 |
| Aditya Moh. Zikri | Affiliation unknown | 2 |
| Hastini Hastini | Affiliation unknown | 2 |
| Rivaldo Barani | Affiliation unknown | 2 |
| Muhammad Arid | Affiliation unknown | 2 |
| Endang Puspita Sari | Affiliation unknown | 2 |
| Vivi Vidya Lestari | Affiliation unknown | 2 |
| Ita Fitriati | STKIP Taman Siswa Bima | 1 |
| Ilyas Ilyas | STKIP Taman Siswa Bima | 1 |
| Suriana Gende Ede | Universitas Halu Oleo | 1 |
| Asmawati Munir | Universitas Halu Oleo | 1 |
| Minarti Usman | Affiliation unknown | 1 |
| Prinob Aksar | Universitas Halu Oleo | 1 |
| Nanang Endriatno | Affiliation unknown | 1 |
| Masykur Kimsan | Affiliation unknown | 1 |
| sulha sulha | Affiliation unknown | 1 |
| Syahruddin Syahruddin | Affiliation unknown | 1 |
| Hasanuddin Hasanuddin | Affiliation unknown | 1 |
| Konder Manurung | Affiliation unknown | 1 |
| Nur Zam Zamia | Affiliation unknown | 1 |
| Tribuana Puspitasari | Affiliation unknown | 1 |
| Fanisha Astri Aulia | Affiliation unknown | 1 |
| Desrin Lebagi | Affiliation unknown | 1 |
| Hera Ismawati | Affiliation unknown | 1 |
| Mawardin M. Said | Affiliation unknown | 1 |
| Zarkiani Hasyim | Affiliation unknown | 1 |
| Megasari Mongi | Affiliation unknown | 1 |
| Moh Abraham Akbar Eisenring | Affiliation unknown | 1 |
| Maf'ulah Maf'ulah | Affiliation unknown | 1 |
| Mulky Satria Kamal | Affiliation unknown | 1 |
| Anjar Kusuma Dewi | Affiliation unknown | 1 |
| Rahmat Agung Wibowo | 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.