Embodiments of the invention provide a semi-automated system and method for assessment of student work product. The method may comprise obtaining a plurality of student work product from a plurality of students, identifying motifs present in the student work product, forming a subset of motifs, clustering the work product into clusters based on the subset of motifs, receiving an assessment from a teacher relevant to clusters and providing assessment for a work product based on the cluster assessment. Methods according to embodiments of the invention may reduce teachers' review and feedback time and increase consistency and quality of feedback given to students.