In the second half of last year, the consulting firm McKinsey

For some time I have been wanting lohnsteuerhilfeverein to write about this subject here on the blog. A few weeks ago I talked informally with two directors of a US company called Knewton and went back to think about it. This company, which has investors weight, is growing at a fast pace and can enter Brazil at any time. Its founders proposes to deploy lohnsteuerhilfeverein called Adaptive Learning or Adaptive Learning (Adaptive Learning in English) in various types of content for education. But how does that work?
Taking into account that most of the educational processes and educational content lohnsteuerhilfeverein - notes, books, lohnsteuerhilfeverein exercises and presentations - will be scanned, the Adaptive Teaching is based on the analysis of this mass of data to suggest both new learning paths and new forms of education more efficient. For now, the method has been used to make tests or exercises suited to the student as this progresses in the field.
In the future, with the convergence of Adaptive Learning and Data Mining (exploration and analysis of databases), you can explore amazing correlations between learning and content, allowing us to act on both of almost scientific way. To facilitate the adaptability of subjects studied, the contents will always be generated in pieces and in different formats such as text, video and audio.
Imagine, for example, a software monitoring individual performance and comparison lohnsteuerhilfeverein of several students of the same course, semester after semester. This software could easily draw correlations between the grades obtained and the characteristics of the subjects taught (difficulty, format, type of interaction, teacher who taught the subject, class time, etc.), reaching extremely lohnsteuerhilfeverein specific conclusions and even individualized, such as "X students always get a good yield when a subject, regardless of their degree of difficulty, is taught in the morning, through videos and newly trained teachers." As a result of this analysis, the contents would have automatically adapted to the profile of this student.
Another example, simpler but more realistic would be: "Students who have difficulty in this area X of the third year of the course, were generally weak in the proof of the vestibular Y". This would allow the college - and their teachers - to prepare lohnsteuerhilfeverein beforehand to care for low-income students that proof Y vestibular, long before lohnsteuerhilfeverein they reach the third year. In fact, the systems will be ready to release alerts reports automatically, every time some interesting lohnsteuerhilfeverein correlation is calculated.
And the more you explore it, the more possibilities arise: a course can be done adaptively, a book can be read adaptively or proof can be performed adaptively. And so the "Big Data" expression, which could be translated into Portuguese as "Megadados" or "Great Information lohnsteuerhilfeverein Quantity" conquered space in education debates to describe a new aspect that can not be ignored by training institutions wishing to grow or simply survive in the coming decades of the 21st century.
In the second half of last year, the consulting firm McKinsey & Co published lohnsteuerhilfeverein a short interview on this subject with the founder lohnsteuerhilfeverein of the Khan Academy, Salman Khan (always him!). The interview can be read at this link (in English) and assisted in this video by clicking here.
https://alfredopassos.wordpress.com/2014/05/28/ensino-adaptativo-o-big-data-na-educacao-por-newton-campos/
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