Evaluating the Effectiveness of the “Observe–Analyze– Construct–Tone–Reflect” Algorithm in Teaching Academic Drawing (Pencil) In Higher Education A Quasi-Experimental Rubric-Based Study with Portfolio- Supported Reflection

This manuscript examines the effectiveness of a structured instructional algorithm for academic observational drawing in higher education: Observe–Analyze–Construct–Tone–Reflect (OACTR). The intervention operationalizes drawing as a sequenced skill system—visual observation, analytic decomposition, constructive drawing (proportion/perspective), tonal modeling, and metacognitive reflection—supported by formative feedback, portfolio evidence, and rubric-referenced assessment. A quasi-experimental pretest–posttest design is proposed/implemented with an experimental cohort taught via OACTR and a comparison cohort taught via conventional studio instruction focused primarily on end-product critique. Outcomes are measured using a 100- point analytic rubric (composition, construction/proportion, perspective, tonal hierarchy, graphic control, and reflective commentary) and a structured error checklist. The study further assesses inter-rater reliability and student engagement with rubrics and reflective prompts. It is expected that OACTR will yield statistically and practically meaningful gains in construction accuracy and tonal modeling, and improve students’ ability to diagnose and correct their own errors. Findings provide actionable guidance for visual arts teacher education, including scalable lesson architecture, transparent assessment, and ethical use of reference materials.

Hali tarjima qilinmagan