Discussion: Cloud Memory refers to the opportunity of mining any history of related events that are stored on the web.
523 Inspiration: In the case of education such events could be a vast eportfolio of everything you have read and created since early childhood, including a mapping of your learning styles and abilities. The field of “learning analytics” imagines that institutions will do the mining, but when considered from a mobile intelligence perspective, Cloud Memory might be more beneficially owned by the learner, with the mining operations serving to bring them new and better opportunities to learn.
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Cloud memory would probably require processing the data in such a way that it becomes useful. As a result, I think AI will play a big role in the process because of its ability to find and refine large amounts of data. This would be particularly useful in the early ages, when students might be identified as having potential literacy or numeracy problems. They can have targeted interventions that might allow them more success in the future. Perhaps AI might be able to suggest solutions and strategies that can be put in place for the students.
However, I think this comes with huge privacy issues and implications. Without rules and regulations, this might become a factor for discrimination. For instance, if someone had a learning disability and this information was readily available, it could become a barrier to later careers and opportunities.