The Experience API (xAPI) allows us to collect data about any type of learning experience or activity, but does that mean we should? Should we generate massive amounts of xAPI data for every possible type of interaction and then expect to make sense of it all later? This approach can be costly in terms of data storage, but also in terms of your time.
This is an introductory course on Learning Analytics designed to assist teachers understand and use learning analytics ethically and appropriately in their own context.
I'd searched everywhere for a quick reference guide to the xAPI statements that are passed for each library. Having not been able to locate one, below is a collated list of the xAPI statements for the H5P Libraries that support xAPI.
It’s here: xAPI is the emerging learning data and analytics specification that will replace—and completely supersede—SCORM in coming years. Also called Experience API, xAPI is an open, industry-wide specification for sending, storing, and retrieving activity about learning and performance experiences.
Managers, instructional designers (IDs), and developers are constantly told that they can use data to improve learners’ engagement, results, or job performance, to personalize eLearning, or to make learning stick. Are these claims realistic? What data do managers or designers need, and how should they use it to achieve any or all of these goals?
Want to know about the importance of Learning Analytics In Instructional Design? Check about the importance of Learning Analytics In Instructional Design.
A. Dafonte-Gómez, and X. Martínez-Rolán. Praxis educativa, inclusión e innovación TIC en la Educación Superior, Sello Editorial Universidad Autónoma del Caribe,, Barranquilla, Colombia, (2020)