To address ambiguous objectives,limited process traceability,and weakly interpretable assessment in Graphic Design and Processing(Adobe Illustrator),this study adopts outcome-based education(OBE)to propose an integrat...To address ambiguous objectives,limited process traceability,and weakly interpretable assessment in Graphic Design and Processing(Adobe Illustrator),this study adopts outcome-based education(OBE)to propose an integrated smart-course development pathway spanning objectives,content,resources,instruction,and evaluation.Using a qualitative case study design,the analysis draws on course documents,task designs,student artifacts,open-ended feedback,and teaching reflections to synthesize key practices,including operationalizing learning outcomes(LOs),aligning tasks and activities,implementing evidence-chain assessment,and supporting continuous improvement.The results suggest that outcome-oriented objectives and tiered tasks clarify learning expectations;phased reviews with documented feedback enhance assessment transparency and support iterative refinement;and LO-indexed resources with an error repository reduce learning bottlenecks and strengthen self-correction.The study provides actionable recommendations for smart-course construction in similar design software contexts.展开更多
基金supported by the 2025 Second Batch Smart Course Project of Guangzhou Huali College,titled Graphic Design and Processing(Adobe Illustrator).
摘要To address ambiguous objectives,limited process traceability,and weakly interpretable assessment in Graphic Design and Processing(Adobe Illustrator),this study adopts outcome-based education(OBE)to propose an integrated smart-course development pathway spanning objectives,content,resources,instruction,and evaluation.Using a qualitative case study design,the analysis draws on course documents,task designs,student artifacts,open-ended feedback,and teaching reflections to synthesize key practices,including operationalizing learning outcomes(LOs),aligning tasks and activities,implementing evidence-chain assessment,and supporting continuous improvement.The results suggest that outcome-oriented objectives and tiered tasks clarify learning expectations;phased reviews with documented feedback enhance assessment transparency and support iterative refinement;and LO-indexed resources with an error repository reduce learning bottlenecks and strengthen self-correction.The study provides actionable recommendations for smart-course construction in similar design software contexts.