The Predictive Power of Teaching Approaches: Unveiling Keys to Enhanced Students' Motivation and Workload in Blended Learning

Abstract

This research explores the transformative impact of blended learning on motivation and workload in Vocational Education and Training (VET) settings. As part of the BlendVET project, it investigates how diverse teaching approaches influence student outcomes. Drawing from an online survey of 106 students across seven VET programs, the study reveals that collaborative learning enhances engagement and satisfaction, while technology integration enriches the learning experience. Despite benefits, challenges such as perceived workload increase are acknowledged. Key findings underscore the critical role of assessment and feedback in enhancing student satisfaction and perceived competence. The study advocates for strengthening collaborative learning through diversity support and technological integration, alongside refining assessment and feedback processes. It calls for proactive measures to foster engagement and alleviate stress, urging stakeholders to embrace change for a future where every student can thrive.

Keywords

• blended learning
• vocational education and training (vet)
• student motivation
• perceived workload
• teaching approaches