Using Standards to Make Big Data Analytics That Work

[Commentary] To get actionable results, Big Data analytics designers must develop a theory of how students learn and map which data points allow for inferences about those skills.

Standards make big data analytics work because they support the creation of more rigorous models of student learning and enable larger big data systems. Improving efficiency also lowers barriers to entry which encourages greater competition and frees up analytics designers to innovate. Standards can serve as the base of such a model because they consist of skills and the appropriate sequence for acquiring those competencies.

[March 7]