Evaluating the Effectiveness of a Blended Learning Model in Enhancing Deeper Learning: A Quasi-Experimental Study in Art and Design Education

This dataset was collected as part of the project that aimed to enhance deeper learning among art and design students through blended learning strategies. The data were gathered during three iterations of instructional interventions conducted between 2019 and 2023, involving third-year undergraduate students majoring in Digital Media Arts at S University. The dataset includes the following components: Pre- and post-intervention questionnaire responses measuring students' deeper learning abilities, learning engagement, and learning satisfaction. Rubric-based project evaluations, assessing student work in terms of creativity, technical execution, and interactivity. The data are anonymized and stored in multiple formats (e.g., CSV, DOCX, PDF, XLSX), and are intended to support future research in blended learning, design education, and deep learning assessment.