Use of Smart Devices to Predict Students' Achievement and Interest in Science and Mathematics Learning

• In Event: 52.025 - Automation and Data Analytics to Inform Teaching and Learning

Abstract

The effect of using smart devices on academic achievement and interest in learning science and mathematics has not been systematically studied. It may depend on student- and school-level predictors. We present a theoretical model to describe how the use of smart devices in learning is affected by the characteristics of students, teachers and learning environment related to academic achievement and interest. This model is tested using data from 2649 sixth grade students, 803 ninth grade students and their science and mathematics teachers (n=282). Findings from multi-level SEM analysis show how school- and individual level factors combine in predicting academic achievement and interest. These findings are significant for designing interventions, which support students’ learning in science and mathematics using smart devices.

Authors

• Margus Pedaste, University of Tartu

• Olev Must, University of Tartu

• Äli Leijen, University of Tartu

• Miia Rannikmäe, University of Tartu

• Leo Aleksander Siiman, University of Tartu

• Mario Mäeots, University of Tartu

• Liina Adov, University of Tartu

• Külli Kori, University of Tartu

• Regina Soobard, University of Tartu

• Moonika Teppo, University of Tartu

• Merlin Saulep, University of Tartu

• Terje Hõim, University of Tartu

• Karin Täht, Universtity of Tartu

• Gerli Silm, University of Tartu

• Peter R. Simons, University of Utrecht