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Technology-Assisted Inductive Learning: A Content Analysis of Prospective Mathematics Teachers' Lesson Plans
Technology-Assisted Inductive Learning: A Content Analysis of Prospective Mathematics Teachers' Lesson Plan
Edumatica : Jurnal Pendidikan Matematika · Vol. 15 No. 3 (2025) · hlm. 344–367
- ISSN
- 2580-0779, 2088-2157
- Terbit
- 2025-11-17
- Penerbit
- Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Jambi
- Bahasa
- en
Abstrak
Inggris
The shift in learning paradigm from passive to active requires prospective teachers to design meaningful learning experiences, one of which is through a technology-assisted inductive approach. This study aims to analyze the content of lesson plans developed by prospective mathematics teachers to implement technology-supported inductive learning. Using a qualitative content analysis method, this study involved 15 prospective mathematics teacher students from the State Islamic University of Salatiga who had taken courses related to lesson planning. The data sources for this study were lesson plan documents based on inductive learning, including Problem-Based Learning and Discovery Learning. Data were analyzed using thematic analysis to identify hidden patterns and themes. The results show that prospective teachers have integrated technology into each indicator of inductive learning, where the learning stages clearly begin from specific cases or problems to the generalization of concepts. This study contributes to providing an in-depth understanding of how prospective mathematics teachers translate inductive learning theory into lesson planning practices in the digital era, while also identifying aspects that need improvement in teacher training. Future research should investigate the relationship between the quality of lesson plan design and classroom teaching performance. Furthermore, comparative studies involving different technology platforms are needed to identify which tools best facilitate the conceptual discovery phase of inductive learning.
Bahasa Indonesia
The shift in learning paradigm from passive to active requires prospective teachers to be able to design meaningful learning experiences, one of which is through a technology-assisted inductive approach. This study aims to analyze the content of lesson plans designed by prospective mathematics teachers to implement technology-supported inductive learning. Using a qualitative method of content analysis, this study involved 15 prospective mathematics teacher students from the State Islamic University of Salatiga who had taken courses related to lesson planning. The data sources for this study were lesson plan documents based on inductive learning, including Problem-Based Learning and Discovery Learning. Data were analyzed using thematic analysis to identify hidden patterns and themes. The results show that prospective teachers have integrated technology into each indicator of inductive learning, where the learning stages clearly begin from specific cases or problems to generalization of concepts. This study contributes to providing an in-depth understanding of how prospective mathematics teachers translate inductive learning theory into lesson planning practices in the digital era, while also identifying aspects that need improvement in teacher training.
Kata kunci
Jaringan kolaborasi para penulis
40 penulis · 181 tautan kepenulisan bersama · 6 lintas organisasi · menampilkan 40 yang paling banyak terhubung
Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.
- State University of Semarang
- Universitas Airlangga
- State University of Gorontalo
- Sunan Kalijaga State Islamic University Yogyakarta
- Afiliasi tidak diketahui
- Organisasi berbeda
- Organisasi sama
- Afiliasi tidak diketahui
- Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
| Rekan penulis | Organisasi | Artikel bersama |
|---|---|---|
| Kartono Kartono | Universitas Airlangga | 9 |
| Wardono Wardono | Afiliasi tidak diketahui | 7 |
| Isti Hidayah | Afiliasi tidak diketahui | 7 |
| Arief Agoestanto | Afiliasi tidak diketahui | 6 |
| Iwan Junaedi | State University of Semarang | 5 |
| Scolastika Mariani | State University of Semarang | 5 |
| Rochmad Rochmad | Afiliasi tidak diketahui | 5 |
| Sugiman Sugiman | Afiliasi tidak diketahui | 4 |
| St. Budi Waluya | Afiliasi tidak diketahui | 4 |
| Sugiyo Sugiyo | Afiliasi tidak diketahui | 3 |
| Muhammad Khumaedi | Afiliasi tidak diketahui | 3 |
| Emi Pujiastuti | State University of Semarang | 3 |
| Amin Suyitno | Afiliasi tidak diketahui | 3 |
| Mulyono Mulyono | Afiliasi tidak diketahui | 3 |
| Zaenuri Zaenuri | State University of Semarang | 3 |
| Isnarto Isnarto | Afiliasi tidak diketahui | 3 |
| Walid Walid | State University of Semarang | 2 |
| Hartutik Hartutik | Afiliasi tidak diketahui | 2 |
| Matilda Stella Pradnya | Afiliasi tidak diketahui | 2 |
| Irene Nindita Pradnya | Afiliasi tidak diketahui | 2 |
| Samsudi Samsudi | Afiliasi tidak diketahui | 2 |
| Wahyu Hardyanto | Afiliasi tidak diketahui | 2 |
| Mashuri Mashuri | Afiliasi tidak diketahui | 2 |
| Muhammad Kharis | Afiliasi tidak diketahui | 2 |
| Batul Fatin Hendriani | Afiliasi tidak diketahui | 2 |
| Ana Risdianti | Afiliasi tidak diketahui | 2 |
| Taulia Damayanti | State University of Gorontalo | 2 |
| Moh. Aminudin | Afiliasi tidak diketahui | 2 |
| Junarti Junarti | Afiliasi tidak diketahui | 2 |
| Mohammad Asikin | Afiliasi tidak diketahui | 2 |
| Nur Karomah Dwidayati | Afiliasi tidak diketahui | 2 |
| Raekha Azka | Sunan Kalijaga State Islamic University Yogyakarta | 1 |
| Vena Agustina | State University of Semarang | 1 |
| Andarweni Astuti | Afiliasi tidak diketahui | 1 |
| Wachid Nugroho | Afiliasi tidak diketahui | 1 |
| Erni Ayda | Afiliasi tidak diketahui | 1 |
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