TITLE:
Research on Outcome-Based Education Reform in Python Programming Instruction
AUTHORS:
Quanfu Wang, Yang Tao, Xuanjiao Lyu, Huanhui Liang
KEYWORDS:
Artificial Intelligence, Python Programming, Outcome-Based Education, Backward Design, Emerging Engineering Education
JOURNAL NAME:
Open Access Library Journal,
Vol.12 No.10,
October
10,
2025
ABSTRACT: Under the background of artificial intelligence empowering higher education, this study addresses the issues of outdated content, singular teaching methodologies, one-sided assessment, and insufficient cultivation of student interest in the traditional teaching of the course Python Programming. Based on the Outcome-Based Education (OBE) concept, this study constructs a teaching system featuring clearly defined outcomes, backward design, multidimensional assessment, and continuous improvement. With objectives encompassing knowledge, skills, and literacy, this study designs experimental cases such as gaining hands-on experience with edge computing platforms, deploying generative AI, and applying the MediaPipe framework. These cases drive the backward optimization of course content and teaching methods, alongside the establishment of a multi-dimensional assessment mechanism. Results indicate a significant enhancement in students’ knowledge mastery, practical skills, and teamwork capabilities. The relevance of teaching content to industry needs was strengthened, and a sustainable mechanism for continuous improvement was formed, providing an actionable pathway for cultivating computer science talents within the context of Emerging Engineering Education.