Journal
The Effectiveness Of Multimedia In Teaching Writing To Students With Different Learning Styles
English Education Journal · Vol. 7 No. 2 (2017) · pp. 85–92
- ISSN
- 2087-0108, 2502-4566
- Published
- 2017-07-27
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
This research was to analyze the effectiveness of Interactive Multimedia Instructions (IMIs) in the format of game (GIMI) and in the format of tutorial (TIMI) implemented in Task-Based Learning (TBL) for the students with visual and auditory learning styles in performing writing of a recount text. To obtain the data, the research method of this study was quantitative by using 2x2 factorial experimental research design. The data collection was done by giving the VAK questionnaire and conducting the pre-test and the post-test. The data, then, was analyzed by using t-test and ANOVA. After doing the investigation, it was found that there was significant difference of the students' performance in writing a recount text after learning by using IMIs. It means that the use of IMIs is effective. Then, there was an interaction between the implementation of TBL by using such media and the students’ learning styles in getting their writing performance. Even though, it did not give significant influence. Thus, it can be concluded that although the interaction among those variables did not give significant influence, the use of IMIs exactly made their learning result effective both for the students with visual and auditory learning styles.
Collaboration network of the authors
40 authors · 87 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.
- State University of Semarang
- Institut Teknologi Sepuluh Nopember
- Universitas Halu Oleo
- Universitas Muhammadiyah Semarang
- 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 |
|---|---|---|
| Dwi Rukmini | Affiliation unknown | 5 |
| Januarius Mujiyanto | Affiliation unknown | 3 |
| Fahrur Rozi | Institut Teknologi Sepuluh Nopember | 2 |
| Puji Astuti | Affiliation unknown | 2 |
| Ani Rusilowati | State University of Semarang | 2 |
| Anggraini Mulwinda | State University of Semarang | 1 |
| Achmad Rifaldi | Affiliation unknown | 1 |
| Prawidana Kurniawan | Affiliation unknown | 1 |
| Issy Yuliasri | Affiliation unknown | 1 |
| Afief Fakhruddin | Affiliation unknown | 1 |
| Agus Prayogo | Affiliation unknown | 1 |
| Puspa Wijayanti | Affiliation unknown | 1 |
| Pamujo Effa Kusdianang | Affiliation unknown | 1 |
| Zuhrian Ivan Arvianto | Affiliation unknown | 1 |
| Abdurrahman Faridi | Affiliation unknown | 1 |
| Nurlaila Tuanany | Affiliation unknown | 1 |
| Kiki Nuriska Denhas | Affiliation unknown | 1 |
| Yulianti Yulianti | Universitas Halu Oleo | 1 |
| Anjar Setiawan | Universitas Muhammadiyah Semarang | 1 |
| Rifki Nurlaili Hidayat | Affiliation unknown | 1 |
| Roni Wahyudi | Affiliation unknown | 1 |
| Setyani Rohmatul Muthohharoh | Affiliation unknown | 1 |
| Suwandi Suwandi | Affiliation unknown | 1 |
| Ali Akbar Rafsanjani | Affiliation unknown | 1 |
| Oktianti Dwi Aryani | Affiliation unknown | 1 |
| Eva Rahmatunnisa | Affiliation unknown | 1 |
| Diana Novietasari Bedagama | Affiliation unknown | 1 |
| Dian Fathur Rahman | Affiliation unknown | 1 |
| Aldin Ramdani | Affiliation unknown | 1 |
| Silvia Nanda Putri Erito | Affiliation unknown | 1 |
| Mursid Saleh | Affiliation unknown | 1 |
| kifti halimah islami | Affiliation unknown | 1 |
| Rudi Hartono | Affiliation unknown | 1 |
| Ade Dwi Cahyanti | Affiliation unknown | 1 |
| Fitria Uswatun Azizah | Affiliation unknown | 1 |
| Sri Wuli Fitriati | Affiliation unknown | 1 |
| Imaduddin Abil Fida | Affiliation unknown | 1 |
| Modi Nur Kholisoh | 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.