Design principles for work-integrated learning-based, alternative doctoral training programs informed by PhD candidate feedback

This study investigated PhD candidate feedback on research and employability skills training, delivered via work-integrated learning (WIL) within an alternative doctoral training model. Voluntary feedback was received using a mixed-methods survey consisting of 10 quantitative statements reflecting on learning, and qualitative feedback comprising best aspects and needs improvement comments. The results indicate candidates highly valued the WIL-based assessments, teacher interactions, workload, research-relevant problem-solving frameworks, work-related knowledge and skills, and confidence-building. The qualitative analysis also revealed some PhD candidates desired more peer interactions early in candidature. The study reinforces four emerging design principles for WIL in doctoral programs and provides a contemporary evidence-base for improving alternative doctoral training programs. Areas for further research include: understanding training motivation and needs including content complexity, internships, and culturally and linguistically diverse (CALD) candidate needs; benchmarking engagement with doctoral WIL; increasing doctoral peer interactions; WIL for new technologies; and communicating the value of doctoral WIL.