From Data to Outcomes: Experimental Learning Analytics Insights

This systematic review, following the PRISMA 2020 protocol, provides a comprehensive analysis of experimental research in learning analytics. It identifies 52 relevant articles from various databases, shedding light on the evolution of experimental studies in this domain. The review reveals a significant increase in experimental studies in recent years, emphasizing the growing recognition of evidence-based research in learning analytics. These studies primarily focus on micro- and meso-level analytics, targeting students and instructors, highlighting the practicality and immediate impact of learning analytics in education. One of the most noteworthy findings is the positive impact of learning analytics-based interventions on key educational outcomes, including achievement, motivation, engagement, and system usage behaviors. These interventions demonstrate the potential to enhance academic achievements and create more engaging learning environments. The review also highlights the diversity of learning analytics interventions, such as learner-facing and instructor-facing dashboards, automated feedback, personalized feedback, and course material personalization. It underscores opportunities for further exploration in diagnostic, predictive, and prescriptive analytics to gain more comprehensive insights into educational phenomena. In conclusion, this systematic review reflects the evolving landscape of experimental research in learning analytics, its positive impact on education, and the potential for further advancements. It contributes to a more robust and empirically grounded understanding of learning analytics applications in education.