Scientific Development Research

Faced with the profound changes brought about by artificial intelligence (AI) technology in the field of geographic information systems (GIS), the traditional "GIS Programming and Development" course has become outdated, making it difficult to cultivate composite talents that meet social demands. Based on the outcome-based education (OBE) teaching philosophy, this study integrates cutting-edge AI technologies such as machine learning and deep learning into the curriculum. A new teaching model of "theoretical-practical-innovative" integration has been constructed, adopting project-based teaching, group collaboration, and online and offline blended teaching to comprehensively enhance students' programming and team collaboration skills. At the same time, through diversified process-based evaluation, the learning effectiveness of students is more truly reflected. Practice has proven that the reformed curriculum has significantly improved students' programming ability, innovative thinking, and comprehensive problem-solving skills. Student teaching evaluation satisfaction has reached over 98%, and many students have won excellent results in national GIS competitions, providing a practical and feasible teaching path for cultivating high-quality GIS talents in the new era.

GIS programming; Python; Case teaching method; Artificial intelligence; Teaching reform