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ALGORITHIMIC IN ART
Computational Thinking, which is typically associated with computer science subjects, is introduced through a teaching module named ALGO ART, developed using design and development research (DDR). The module incorporates four CT elements are decomposition, pattern recognition, abstraction, and algorithm. The module show how CT can be integrated into traditional painting methods. For instance, students could use algorithmic thinking to plan the steps of a painting or to develop systematic approaches to color mixing, brush strokes, or composition.
The ALGO ART module effectively bridges the gap between science and art, making CT accessible in an art education context. It helps students apply logical and algorithmic thinking creatively, enhancing their learning outcomes in painting and encouraging an interdisciplinary approach. The module was found to be suitable, effective, and well-received by the students, highlighting its potential as a valuable teaching tool.
The ALGO ART module integrates Computational Thinking (CT) into art education, specifically in teaching painting expression, to enhance students' learning experiences by combining logical and creative processes. Typically associated with computer science, CT involves four key elements: decomposition (breaking down tasks), pattern recognition (identifying similarities), abstraction (focusing on important information), and algorithms (developing step-by-step instructions).
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