It’s probably too early to say whether Massive Open Online Courses (MOOCs) are a “tsunami” or a “seismic shift,” but, continuing with the natural disaster theme, the last few months have seen a massive “avalanche” of press commentary about them, especially within the last few days.
Also getting lots of press attention (though not as much right now) is Adaptive/Personalized Learning. Both innovations seem to fascinate us, but probably for different reasons, since they are so fundamentally different at their cores. Personalized Learning, like more traditional concepts of education, places the individual at the center. With MOOCs, groups and social interaction take center stage and learning becomes a collective enterprise.
This post elaborates on this distinction, but also points to a recent blurring of the lines between the two – a development that could be troubling.
But, first things first: What is Personalized/Adaptive Learning, what are MOOCs, and why are they different? Read More »
Knewton, a technology firm founded in 2008, has developed an “adaptive learning platform” that received significant media attention (also here, here, here and here), as well as funding and recognition early last fall and, again, in February this year (here and here). Although the firm is not alone in the adaptive learning game – e.g., Dreambox, Carnegie Learning – Knewton’s partnership with Pearson puts the company in a whole different league.
Adaptive learning takes advantage of student-generated information; thus, important questions about data use and ownership need to be brought to the forefront of the technology debate.
Adaptive learning software adjusts the presentation of educational content to students’ needs, based on students’ prior responses to such content. In the world of research, such ‘prior responses’ would count and be treated as data. To the extent that adaptive learning is a mechanism for collecting information about learners, questions about privacy, confidentiality and ownership should be addressed. Read More »