Applying learning analytics for educational change across learner, cohort, and program
Analytics is a continuous iterative process of exploration to gather data, discover patterns, and disseminate information. Learning analytics (LA) are evolving methods to collect, analyze, and report data to provide actionable insight into blended and distance education. The purpose of the paper was to employ LA to examine change across leaner, cohort, and program. The study merged Scholarship of Teaching and Learning (SoTL) constructivist perspective with technology to scrutinize how learning works. The naturalistic study collected data from a single distance course. The paper includes exemplar questions and LA methods. Further research is necessary to integrate LA with the framework of existing theories and models, evaluation criteria, quality indicators, curricular, and course design to develop best practice in distance education.
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