Welcome to Learnalytics, powered by Renaissance Learning. Our goal is to empower educators with actionable information so that they may deliver precise, timely instruction and drive effective student practice. The collection of tools available here will enable you to explore some of the world’s largest aggregated and anonymized data sets on student learning.
Learning analytics is defined as “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs” (Siemens, 2010).†
Our Learnalytics site will provide insights into the power of learning analytics and how they can help all of us to discover precisely what kids know, what they like, and how they learn.
Learning analytics: “The measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs.”-G. Siemens, Technology Enhanced Knowledge Research Institute Athabasca University, Alberta, Canada
The notion of learning analytics holds enormous potential for better understanding student learning and the impact of teaching on that learning. Learnalytics will take you on a journey of discovery with many possibilities:
- Analyze student performance and growth over time, as well as how much growth is required to reach or maintain proficiency (see Growth & Achievement).
- Discover which books students are truly reading—from cover to cover (see What Kids Are Reading).
- Explore a continuum of expected learning by sampling our learning progressions, which begin with emergent reading or early numeracy skills and progress to the level of competence required for college and careers (sample the Math Learning Progression, grades 3–6).
- Review our research team’s the latest discoveries in the data (see Insights).
We welcome inquiries about our data as well as proposals from researchers to collaborate on research and analysis projects. To learn more, please contact us at email@example.com
† Siemens, G. (2010). 1st International Conference on Learning Analytics and Knowledge 2011 call for papers. Retrieved from http://tekri.athabascau.ca/analytics/call-papers