Open access Journal
The Effectiveness of Diagnostic Assessments and GeoGebra-Assisted Learning on Learning Outcomes Reviewed from Learning Styles
Edumatica : Jurnal Pendidikan Matematika · Vol. 15 No. 3 (2025) · pp. 310–324
- ISSN
- 2580-0779, 2088-2157
- Published
- 2025-10-30
- Publisher
- Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Jambi
- Language
- en
Abstract
English
This study aims to analyze the effectiveness of providing cognitive and non-cognitive diagnostic (learning style) assessments and recognizing students' learning styles before the learning process occurs. The results of this study show that, typically, the diagnostic assessment process is not implemented before learning activities begin, and that the learning process proceeds without first taking into account the learning style of the students. This study also analyzes the effectiveness of the use of GeoGebra in learning as a solution to facilitating various student learning styles. The research was carried out in 2 schools, namely SMA Negeri 2 Kefamenanu and SMA Katolik Warta Bakti Kefamenanu, utilizing a Pre-Experimental design, with a total of 53 students chosen by a purposive sampling technique. Data were collected using questionnaires and test questions, then analyzed using the Kruskal-Wallis and Wilcoxon Signed Test methods to compare the student groups from each school. The results indicate that the average mathematical diagnostic assessment score was 16.4553. After utilizing GeoGebra during learning and focusing on student learning styles, the students' average mathematical ability score increased to 62. This result is supported by the Kruskal-Wallis Test and Wilcoxon Signed Test, indicating that the average of the mathematical ability score from the diagnostic assessment reaches near-equilibrium after the students are exposed to GeoGebra. The increase in students' ability by 55% on the N-Gain Test shows that learning by utilizing GeoGebra is quite effective in improving students' mathematical skills. These results lead to the conclusion that learning by using GeoGebra during learning after cognitive diagnostic assessments and paying attention to students' learning styles is the best way to improve student learning outcomes.
Indonesian
This study aims to analyze the effectiveness of providing cognitive and non-cognitive diagnostic (learning style) assessments and recognizing students' learning styles before the learning process occurs. The results of this study show that, typically, the diagnostic assessment process is not implemented before learning activities begin, and that the learning process proceeds without first taking into account the learning style of the students. This study also analyzes the effectiveness of the use of GeoGebra in learning as a solution to facilitating various student learning styles. The research was carried out in 2 schools, namely SMA Negeri 2 Kefamenanu and SMA Katolik Warta Bakti Kefamenanu, utilizing a Pre-Experimental design, with a total of 53 students chosen by a purposive sampling technique. Data were collected using questionnaires and test questions, then analyzed using the Kruskal-Wallis and Wilcoxon Signed Test methods to compare the student groups from each school. The results indicate that the average mathematical diagnostic assessment score was 16.4553. After utilizing GeoGebra during learning and focusing on student learning styles, the students' average mathematical ability score increased to 62. This result is supported by the Kruskal-Wallis Test and Wilcoxon Signed Test, indicating that the average of the mathematical ability score from the diagnostic assessment reaches near-equilibrium after the students are exposed to GeoGebra. The increase in students' ability by 55% on the N-Gain Test shows that learning by utilizing GeoGebra is quite effective in improving students' mathematical skills. These results lead to the conclusion that learning by using GeoGebra during learning after cognitive diagnostic assessments and paying attention to students' learning styles is the best way to improve student learning outcomes.
Keywords
Collaboration network of the authors
40 authors · 104 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.
- 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 |
|---|---|---|
| Jamal Harimudin | Affiliation unknown | 4 |
| Raihan Raihan | Affiliation unknown | 4 |
| Esya Heryana | Affiliation unknown | 4 |
| La Ode Restele | Affiliation unknown | 3 |
| Winona Lutfiah | Affiliation unknown | 3 |
| Safrudin Sahar | Universitas Halu Oleo | 2 |
| Weka Widayati | Universitas Halu Oleo | 2 |
| Akbardiansyah Akbardiansyah | Affiliation unknown | 2 |
| Ainun Mardiyah Lubis | Affiliation unknown | 2 |
| Yulia Anita Siregar | Affiliation unknown | 2 |
| Muhammad Anas | Universitas Halu Oleo | 1 |
| Erniwati Erniwati | Affiliation unknown | 1 |
| Jufri Karim | Universitas Halu Oleo | 1 |
| Djafar Mey | Affiliation unknown | 1 |
| wa Ode Yusria | Affiliation unknown | 1 |
| la Ode Rustam | Affiliation unknown | 1 |
| Ahmad Iskandar | Affiliation unknown | 1 |
| Yoo Eka Yana Kansil | Universitas Halu Oleo | 1 |
| La Ode Kaimudin | Affiliation unknown | 1 |
| Fahyuddin Fahyuddin | Affiliation unknown | 1 |
| Jamili Jamili | Affiliation unknown | 1 |
| Hasbullah Syaf | Affiliation unknown | 1 |
| Eka Apriana | Affiliation unknown | 1 |
| Lukman Yunus | Affiliation unknown | 1 |
| Eulisa Eulisa | Affiliation unknown | 1 |
| La Onu Ola | Affiliation unknown | 1 |
| Ade Rahmasari Harsono | Affiliation unknown | 1 |
| Djafar Mey | Universitas Halu Oleo | 1 |
| Anita Indriasary | Affiliation unknown | 1 |
| Noor Husna Khairisa | Affiliation unknown | 1 |
| Putri Hadiyatin | Affiliation unknown | 1 |
| Iradat Salihin | Affiliation unknown | 1 |
| Jamal Harimuddin | Affiliation unknown | 1 |
| Saban Rahim | Affiliation unknown | 1 |
| Nurmala Sukawati | Affiliation unknown | 1 |
| Jahada Jahada | Universitas Halu Oleo | 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.