The MTA–SZTE Digital Learning Technologies Research Group is searching for an answer to the question of how we can put technological devices in the service of student learning and development most effectively. To this end, we endeavour to achieve personalized development using digital devices which are available in school, while we make use of the potential of log data analysis in profiling students (e.g. mapping behavioural patterns and making the learning and thinking processes visible). Through adaptive, i.e. personalized, assessment and developmental methods, we support the assessment and development of thinking skills, cross-curricular competencies, and scientific and transversal thinking skills, which are indispensable for effective learning. Through assessments planned with scientific precision and control group development, we provide teachers with evidence-based tools and methods, which effectively support the realization of personalized teaching and learning.
Head of the Research Group:
Prof. Dr. Gyöngyvér Molnár, DSc, Full Professor of Education; Head of the Institute of Education, University of Szeged
Members of the Research Group:
Anita Habók, Dr. habil; Renáta Kiss, PhD; Ágnes Kissné Gera; Erzsébet Korom, Dr. habil; Andrea Magyar, PhD; Attila Pásztor, PhD; Alisa Tóth, PhD; Hao Wu, PhD; Samuel Greiff, PhD (international expert); Risto Hotulainen, PhD (international expert)
Anggia, Helta; Róbert Csányi; Ádám Kocsis; Márió Tibor Nagy; Nguyen, Van Son; Réka Ökördi; Oo,Tun Zaw; Csilla Urbán; Thuy Lan Anh
Gábor Betyár; Ferenc Halof; Géza Makay, PhD
Zita Bartók, István Kállai, Barbara Zergényi