As the market embraces adaptive instructional systems (AISs) and related data-intensive learning technologies, effective and economical deployment of products from multiple vendors will require critical infrastructure components. Four important types of data must be managed and securely shared across applications: the learner’s background and objectives; a profile of the learner’s current state of mastery; live data recording the learner’s current activities; and metadata describing the available learning activities. Additionally, software tools to manage multi-product learning environments will be needed. This paper explains the importance of these infrastructure components, reviews their state of readiness, and anticipates the benefits they will offer to various stakeholders.
CITATION STYLE
Barr, A., & Robson, R. (2019). Missing Pieces: Infrastructure Requirements for Adaptive Instructional Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11597 LNCS, pp. 169–178). Springer Verlag. https://doi.org/10.1007/978-3-030-22341-0_14
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