Learning to Better Teaching Through Blended Learning Professional Development

As educators enhance their skills through professional development, they become better equipped to create engaging and effective learning experiences. Staying up to date with these innovations enables seamless integration into teaching approaches, ensuring students have access to the latest knowledge and skills. The increasing availability of self-paced online professional development has led to a data-driven approach, with institutions analyzing how learners interact with online learning. This involves studying navigation patterns, engagement levels, and task durations. By extracting insights from log data, institutions can enhance ongoing professional development design, identify areas for improvement, and offer timely interventions. The main objective of this study is to demonstrate the application of learning analytics in assessing faculty learning patterns during online professional development programs. As professional development’s role in higher education gains prominence, this research provides valuable insights for optimizing programs and fostering a culture of growth in academia.