Journal
The Effectiveness of Problem-Based Learning on Mathematical Connections in Terms of the Student's Learning Style
Educational Management · Vol. 10 No. 3 (2021) · pp. 403–409
- ISSN
- 2502-454X, 2252-7001
- Published
- 2021-12-23
- Publisher
- Educational Management
- Language
- eng
Abstract
This study aimed at determining the effectiveness of problem-based learning (PBL) on the ability of mathematical connections in terms of learning styles. The research type was Sequential Explanatory type of the Mixed Method. The population was class IV consisting of two classes, class A with 28 students as the experimental class and class B with 28 students as the class control. These classes were also the sample. The data collection techniques were tests, questionnaires, and interviews. The data analysis methods were the average completeness test, classical completeness test, and average difference test. The study showed: The ethnomathematical teaching of the PBL model was efficacious on students' mathematical connections abilities. It was proven on (1) the ability of mathematical connections using PBL model including ethnomathematical reaching the KKM individually; (2) the classical completeness reached 75%; (3) the average of mathematical connections ability of students in the experimental class was more than the control class. Analysis of students' mathematical connections abilities based on learning styles showed every student with visual, auditory, or kinesthetics learning styles was able to complete the test according to the indicators.
Collaboration network of the authors
40 authors · 108 co-authorship links · 8 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
- Universitas Airlangga
- Universiti Teknologi MARA
- 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 |
|---|---|---|
| Endang Susilaningsih | State University of Semarang | 4 |
| Arka Yanitama | State University of Semarang | 2 |
| Asep Purwo Yudi Utomo | Affiliation unknown | 2 |
| Rossi Galih Kesuma | Affiliation unknown | 2 |
| Riyadi Widhiyanto | Affiliation unknown | 2 |
| Saiful Ridlo | State University of Semarang | 2 |
| Supriyadi Supriyadi | Affiliation unknown | 2 |
| Ani Rusilowati | State University of Semarang | 2 |
| Indra Kharisma Raharjana | Universitas Airlangga | 1 |
| Halim Wildan Awalurahman | Universitas Airlangga | 1 |
| Shukor Sanim Mohd Fauzi | Universiti Teknologi MARA | 1 |
| Ine Fausayana | Universitas Halu Oleo | 1 |
| Ayub M. Padangaran | Affiliation unknown | 1 |
| Indah Werdiningsih | Universitas Airlangga | 1 |
| Alexander Ryan Hendarto | Affiliation unknown | 1 |
| Megita Dwi Pamungkas | Affiliation unknown | 1 |
| Stevanus Budi Waluya | Affiliation unknown | 1 |
| Scolastika Mariani | Affiliation unknown | 1 |
| Ngabiyanto Ngabiyanto | Affiliation unknown | 1 |
| Sefti Dwi Oktaviyanti | Affiliation unknown | 1 |
| Dwi Irfanti | Affiliation unknown | 1 |
| Didi Pramono | Affiliation unknown | 1 |
| Maria Ayu Puspita | Affiliation unknown | 1 |
| Amilia Buana Dewi Islamy | Affiliation unknown | 1 |
| Annisa Tetty Maharani | Affiliation unknown | 1 |
| Rahayu Budhiati Veronica | Affiliation unknown | 1 |
| Kristina Wijayanti | Affiliation unknown | 1 |
| Y L Sukestiyarno | Affiliation unknown | 1 |
| Noviani Try Ardhiati | Affiliation unknown | 1 |
| Rochamd Rochmad | Affiliation unknown | 1 |
| Rina Fardiana | Affiliation unknown | 1 |
| Masrukan Masrukan | State University of Semarang | 1 |
| Arif Hidayad | Affiliation unknown | 1 |
| Muhammad Khumaedi | Affiliation unknown | 1 |
| Khofina Ulfa | Affiliation unknown | 1 |
| Maria Gerrin Windrianti | Affiliation unknown | 1 |
| Vera Wahyuni | 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.