Journal
The Effect of Picture Series Model, Gender, and Learning Mode on Students' Writing Achievement
Journal of Language Education and Educational Technology (JLEET) · Vol. 9 No. 1 (2024) · pp. 17–40
- ISSN
- 2502-3306
- Published
- 2024-04-27
- Publisher
- Halu Oleo University
- Language
- eng
Abstract
This study examines the effect of picture series, a visual media consisting of sequential images, on the writing achievement of VIII graders at SMPN 2 Sampara, considering gender and learning mode (WhatsApp vs. Conventional). The research aims to determine if there is a difference in writing outcomes between students using picture series through WhatsApp and those using conventional methods, and to explore the interaction between picture series models and gender. The population consisted of 57 students, divided into a WhatsApp class (28 students) and a conventional class (29 students). Using a quasi-experimental design, the WhatsApp class (VIII2) served as the experimental group, while the conventional class (VIII3) was the control group. Data were collected through pre-test and post-test scores. Findings indicate a significant difference in writing outcomes, with the WhatsApp class outperforming the conventional class. A two-way ANOVA revealed an interaction between picture series models and gender, with a significance value of 0.000 0.05, indicating a notable interaction. The Estimated Marginal Means graph showed intersecting lines, further supporting this interaction. Additionally, no significant difference was found in writing outcomes for male students between the two methods. However, female students using the WhatsApp method achieved higher scores than their male counterparts.
Keywords
Collaboration network of the authors
40 authors · 77 co-authorship links · 1 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Halu Oleo
- Institut Agama Islam Negeri Kendari
- 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 |
|---|---|---|
| Hilaluddin Hanafi | Affiliation unknown | 3 |
| Kamaluddin Kamaluddin | Affiliation unknown | 2 |
| Amri Tanduklangi | Universitas Halu Oleo | 2 |
| Nguyen Thi Phuong Thao | Affiliation unknown | 2 |
| Nur Evi Hamiru | Affiliation unknown | 2 |
| Yazid Yazid | Affiliation unknown | 2 |
| Nurindah Nurindah | Universitas Halu Oleo | 2 |
| Samsuddin Samsuddin | Affiliation unknown | 1 |
| Tambunan Tambunan | Affiliation unknown | 1 |
| Asri Nova Rama | Affiliation unknown | 1 |
| Amiruddin Rahim | Affiliation unknown | 1 |
| Wa Ode Fatima Azzahra | Affiliation unknown | 1 |
| Suharmin Suharmin | Affiliation unknown | 1 |
| Nurnia Nurnia | Affiliation unknown | 1 |
| Ni Kadek Sepriani | Affiliation unknown | 1 |
| Herlindayana Herlindayana | Affiliation unknown | 1 |
| Sahlan Sahlan | Affiliation unknown | 1 |
| La Kooko | Affiliation unknown | 1 |
| Muhammad Azan | Affiliation unknown | 1 |
| Sahlan Sahlan | Affiliation unknown | 1 |
| La Ino | Universitas Halu Oleo | 1 |
| Elsa Silvia Nasrul | Affiliation unknown | 1 |
| Asruni Asruni | Affiliation unknown | 1 |
| Anita Rezki | Institut Agama Islam Negeri Kendari | 1 |
| Zalili Sailan | Universitas Halu Oleo | 1 |
| Carlina Amri | Affiliation unknown | 1 |
| Muhammad Kurniawan | Affiliation unknown | 1 |
| Sulfajriyani Indah | Affiliation unknown | 1 |
| Sahlan Sahlan | Affiliation unknown | 1 |
| Hanna Hanna | Universitas Halu Oleo | 1 |
| Risma Fitria Uky Yandini | Affiliation unknown | 1 |
| Siti Rahmawati Kahar | Affiliation unknown | 1 |
| Karsadi Karsadi | Affiliation unknown | 1 |
| Dian Amba | Affiliation unknown | 1 |
| Busnawir Busnawir | Universitas Halu Oleo | 1 |
| Asriyawan Asriyawan | Affiliation unknown | 1 |
| Muhammad Fajar | 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.