Collaborative pathways in clean energy research: A cohort supervision model for research higher degree students

CONTEXT This paper delves into the evolving landscape of research higher degree (RHD) supervision, specifically within the realm of clean energy research at CQUniversity. The established individual supervision model and the emerging cohort-based approach, each bearing unique attributes in fostering student learning and academic growth, are acknowledged. The study seeks to bridge the existing gap in knowledge concerning the efficacy of the cohort model in reducing time to thesis completion (TTC), increasing the probability of thesis completion (PTC), and cultivating reflective lifelong learning among RHD students. GOAL The main drive behind this work is to create an effective cohort supervision model meeting RHD supervision's core requirements, including fostering respectful engagement, nurturing quality relationships between supervisors and students, and facilitating critical thinking and knowledge sharing. This paper outlines the methodology used to build and assess this model, providing insights into its capacity to bolster student learning, support, and scholarly development in clean energy research. Research questions encompass the nature of RHD cohort supervision needs, qualitative assessment of the proposed model, and the ideal structure to minimize attrition and ensure timely progress. METHODOLOGY To address research questions, a qualitative, interpretive, contextual, and descriptive analysis approach was adopted. This methodology enabled exploration of the feasibility and effectiveness of the cohort supervision model. The model comprises four academics, nine RHD students, and a coordinator, structured into six distinct phases of learning. Data collection involved seminars/workshops, hands-on assistance, fortnightly progress meetings, peer support, and data collection through surveys and evaluations. Collected data were analysed and outcomes were categorised into themes of supportive practice, reflective practice, and community of practice. ACTUAL OUTCOMES This study yields a comprehensive cohort supervision model for RHD students in clean energy research. It promotes respectful engagement, quality relationships, critical thinking, and knowledge sharing. Preliminary feedback from students demonstrates positive experiences, suggesting the model's potential to enhance student learning and support while reducing attrition rates. CONCLUSIONS In conclusion, this study endeavours to contribute to the advancement of RHD supervision practices by developing and evaluating an innovative cohort supervision model.