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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v10i5.15020</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>A Study on the Construction Path of an OBE-Oriented Smart Course for Graphic Design and Processing (Adobe Illustrator)</title><url>https://artdesignp.com/journal/JCER/10/5/10.26689/jcer.v10i5.15020</url><author>LiZihan,ZhuXiaowen</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>5</issue><history><date date-type="pub"><published-time>2026-06-04</published-time></date></history><abstract>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. 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