#234: Improving Co-Designed Asynchronous Graduate Learning Through Network Analysis

This design-based research study investigated student experiences in a co-designed, asynchronous online graduate course. We applied learning experience network analysis to examine 43 student reflection papers. The analysis identified seven distinct learning ecologies, each characterized by different configurations of learner agency, theoretical principles, and challenges. While two ecologies represented successful engagement, five others revealed specific struggles. These struggles included translating individual work into group collaboration and managing anxiety during transformative learning. This study shows that co-design resulted in varied learning ecologies of experiences. We proposed specific design moves for each challenging configuration. Network analysis offered a valuable method for systematically improving co-designed learning environments through responsive, theory-based support.