Rosemary Luckin|Mutlu Cukurova
Designing educational technologies in the age of AI: A learning sciences?driven approach
abstract interdisciplinary research learning sciences helped us understand great deal way humans learn result improved understanding best teach train people body research must used better inform development artificial intelligence ai technologies use education training paper use three case studies illustrate learning sciences research inform judicious analysis rich varied multimodal data used help us scaffold students support teachers based increased understanding best inform analysis data application learning sciences research better placed design ai algorithms analyse rich educational data speed ai algorithms technology help us leverage faster nuanced individualised scaffolding learners however commercial ai developers know little learning sciences research indeed often know little learning teaching therefore argue order ensure ai technologies use education training embody judicious analysis learn learning sciences informed manner must develop interstakeholder partnerships ai developers educators researchers exemplify approach partnerships educate educational technology edtech programme practitioner notes already known topic progress ai technology learning analytics lags behind adoption approaches technologies fields medicine finance data central empirical work conducted learning sciences development machine learning artificial intelligence ai education full doubts value technology bring teaching learning process paper adds argue learning sciences important role play design educational ai provision theories operationalised advanced case studies illustrate analysis data appropriately informed interdisciplinary learning sciences research used power ai educational technology provide framework interstakeholder interdisciplinary partnerships help educators better understand ai ai developers better understand education implications practice andor policy ai stay increasing impact design technology use education training data power behind machine learning ai enable analysis vastly increase understanding teaching learning process progressing positively interstakeholder interdisciplinary partnerships must used make sure ai provides educational benefits application areas promise us