Learning analytics
Whereas assessments look at the performance of learners or groups of learners, learning analytics takes this notion a step further. Learning analytics leverages a wide range of data about learners and their behaviors to help determine the optimal learning environment.
Learning analytics is education’s approach to “big data,” a science that was originally leveraged by businesses to analyze commercial activities, identify spending trends, and predict consumer behavior. Education is embarking on a similar pursuit into data science with the aim of improving student retention and providing a high quality, personalized experience for learners. Learning analytics research uses data analysis to inform decisions made on every tier of the educational system. This data can be leveraged to build better pedagogies and target at-risk learners.
Reading and Critical Thinking
Provided By | Massachusetts Institute of Technology Office of Educational Innovation and Technology, New Media Consortium |
Type of provider | Private provider-International initiative |
Provided at | online |
Learning opportunity type | OER |
Language | en |
Home page | http://dltoolkit.mit.edu/online-course-design-guide/evaluation/learning-analytics/ |
Admission procedure | Open to all |
Price details | Free |
Type of credential | None |