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.
2 years have passed since we published the strategy papers for #Wikidata & the #Wikibase Ecosystem. We sat down again and took the time to really consider where we are & where we want to go. We would love to hear your feedback & thoughts on the talk page
Learning analytics has the potential to assist instructors in the development of personalized learning at scale and to contribute to more equitable and socially just academic outcomes.
git merge -s ours branch1
The Ours strategy operates on multiple N number of branches. The output merge result is always that of the current branch HEAD. The "ours" term implies the preference effectively ignoring all changes from all other branches. It is intended to be used to combine history of similar feature branches.
IT involves the search for new opportunities through the introduction of new products into new markets. This kind of diversification strategy is one of the most risky and costly for company.
Institutions are at different stages of the learning analytics journey; while some may have infrastructure and processes in place, others may be unsure of where to start or how to use the data produced by their current systems
In order not to fail, it is necessary to have a clear vision of what you want to achieve with learning analytics, a vision that closely aligns with institutional priorities.