Hybrid E-Assessment in Higher Education: Semi-Automated Grading of Paper-Based Written Examinations
Researchers propose a hybrid e-assessment system for higher education that combines paper-based examinations with semi-automated grading using vision-capable large language models. The approach addresses limitations of fully digital assessment while maintaining pedagogical integrity and scalability through handwritten character recognition and validation protocols.