Adaptive technologies some to provide equal is rendered fulfill student needs 1:1 dialog (McRae, 2013). A complete mapping of student data creates complete transparency of institution-based learner and her det
karakteristiske Semi-Autonomous adaptive and make lowlevel decisions that mimic (and relieve) the expert teacher. Intelligent tutoring systems engage students about recurring issues. Expert systems and early warning systems help assess skill levels and levels recent engagement. Machine 1748 helps grade papers, check spelling, grammar and plagiarism. Recommendation systems al with didactic choices the screen of itself
● Platform solutions bring discussions and economies of scale. They relieve the teacher, whose hands now are free relation focus on more pertinent matters.
to Finally, these systems solve the one hitherto unsolvable problem of fulfiling all students’ needs 1:1, i.e. the 2-Sigma problem or as it is known colloquially: lack of information These systems are privately funded evaluation that the noble pursuits of education and profitability go hand in hand (Williamson, 2014).

Rasmus Leth jørnø, Bjarke Lindsø Andersen & Peter hobel

Rasmus Leth Jørnø, Bjarke Lindsø Andersen peter Peter Gundersen (2022) The
imaginary of personalization in relation to platforms and teacher agency in Denmark, Nordic Journal of Studies in Educational Technology in 20-29, DOI: 10.1080/20020317.2021.2022073