International Journal of Vehicle Noise and Vibration · 2004 · 103 citations · 0 references
EducationEducational TechnologyData AnalyticsEducational Data MiningPredictive AnalyticsAssessment AnalyticsData AnalysisLearning AnalyticsLearning Analytics MethodologyTechnology-enhanced InstructionVehicle Interior Noise
Learning analytics has emerged as a significant area of technology‑enhanced learning over the past decade. This review aims to examine the technological, educational, and political factors driving analytics development and to identify future research challenges. The authors chart the historical emergence of learning analytics, trace its evolution from data‑driven and learning‑focused perspectives, and analyze its relationships with educational data mining and academic analytics.
Learning analytics is a significant area of technology-enhanced learning that has emerged during the last decade. This review of the field begins with an examination of the technological, educational and political factors that have driven the development of analytics in educational settings. It goes on to chart the emergence of learning analytics, including their origins in the 20th century, the development of data-driven analytics, the rise of learning-focused perspectives and the influence of national economic concerns. It next focuses on the relationships between learning analytics, educational data mining and academic analytics. Finally, it examines developing areas of learning analytics research, and identifies a series of future challenges.