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Sparking Mathematical Digital Competency in Pre-service Mathematics Teachers through GIS Construction Activities Using Linear Regression and Statistical Mapping on Google Colab |
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| รหัสดีโอไอ | |
| Creator | Supot Seebut |
| Title | Sparking Mathematical Digital Competency in Pre-service Mathematics Teachers through GIS Construction Activities Using Linear Regression and Statistical Mapping on Google Colab |
| Contributor | Chayaporn Kaensar |
| Publisher | Faculty of Science, Ubon Ratchathani University |
| Publication Year | 2568 |
| Journal Title | Journal of Science and Science Education |
| Journal Vol. | 8 |
| Journal No. | 2 |
| Page no. | 234-249 |
| Keyword | Mathematical Digital Competency, Geographic Information System (GIS), Linear Regression, Statistical Mapping, Google Colab, Artificial Intelligence (AI), DeepSeek |
| URL Website | https://so04.tci-thaijo.org/index.php/JSSE/ |
| Website title | Journal of Science and Science Education |
| ISSN | ISSN 2697-410X |
| Abstract | This research aimed to examine the performance and self-perceived Mathematical Digital Competency (MDC) of pre-service mathematics teachers through Geographic Information System (GIS)-based learning activities designed for agricultural yield prediction. The participants were 24 pre-service mathematics teachers at Ubon Ratchathani University. Data were collected using a performance assessment rubric and a self-perception survey on MDC. The study was conducted on the Google Colab platform using Python and AI (DeepSeek). The activities consisted of three phases: building a cassava yield prediction model with Python, using AI to generate code for sugarcane yield prediction, and integrating knowledge to create a GIS for rice yield prediction. The results revealed that students could effectively utilize their Mathematical Digital Competency to systematically engage in the learning activities by combining programming with artificial intelligence. They successfully applied mathematical knowledge with digital tools to create innovative GIS solutions. Furthermore, self-reflections indicated that the students gained a deeper understanding of mathematics, technology use, and analytical reasoning. In conclusion, learning through the creation of GIS with Python and AI is a powerful teaching strategy for sparking Mathematical Digital Competency, aligning with 21st-century learning goals. |
