| Yazarlar |
Doç. Dr. Fadime ULUSOY
Kastamonu Üniversitesi |
Dilek Girit-Yildiz
|
| Özet |
| Background: Teachers must have the skills to find, select, design and use technology-based mathematical activities that focus on high-level cognitive demands—supporting student reasoning. However, they experience various difficulties in creating, planning and making decisions about how and when to utilize technological affordances. Objectives: This study aims to examine the quality of prospective school mathematics teachers' (PMTs) tasks containing the use of dynamic geometry software through the analysis of the coordination between mathematical depth levels (MDLs) and technological actions (TAs), according to Trocki and Hollebrands', Digital Experiences in Mathematics Education, 2018, 4, 110–138, Dynamic Geometry Task Analysis Framework. Methods: Within groups, PMTs designed lesson plans that included dynamic geometry tasks (DGTs) based on the learning outcomes of the middle school mathematics curriculum. They then created micro-teachings of these tasks. The participants' DGTs and transcripts of their microteaching videos were the main data sources. Results: We found that many prompts included no TA or a single TA, regardless of the prompts' MDLs. Moreover, the results showed that the high-depth prompts aimed to contribute to students' reasoning processes on geometric concepts through the TAs, which required specific tools such as dragging and sliding to get generalizations. Although the groups differed in the quality and number of DGTs, the groups' lesson plans mostly contained low- or medium-quality DGTs regarding the coordination between MDLs and TAs. Conclusions: Informing PMTs about high-quality technology tasks and increasing their awareness on this matter is a priority to encourage them to incorporate innovative technological activities in their mathematics instruction. |
| Anahtar Kelimeler |
| dynamic geometry software | mathematical depth | prospective mathematics teacher | task design | technological action |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | JOURNAL OF COMPUTER ASSISTED LEARNING |
| Dergi ISSN | 0266-4909 |
| Dergi Grubu | Q1 |
| Makale Dili | İngilizce |
| Basım Tarihi | 06-2024 |
| Sayı | 1 |
| Doi Numarası | 10.1111/jcal.13029 |
| Atıf Sayıları |
