Explaining Primary School Teachers' Usage of Digital Learning Data: A Mixed-Method Study (Poster 5)

• In Event: AERA Poster Session Four
  In Poster Session: Digital Learning and Development

Abstract

Increasing heterogeneity in schools challenges teachers to design their lessons to suit individual learning needs. Digital technologies such as digital learning platforms can support teachers in this task. When students practice using digital learning platforms, various data is collected. This data is made available to teachers and potentially gives them a more accurate picture of their students’ achievement. To date, however, teachers only rarely use the data. Therefore, in this mixed method study, structural equation modeling is used to analyze factors influencing the intention to use and the usage of data from digital learning platforms on the one hand, and qualitative content analysis is used to describe the nature of the usage of teachers on the other hand.

Authors

• Alina Kristin Hase, Leuphana University - Lueneburg
  Presenting Author

• Leonie Kahnbach, Leuphana University - Lueneburg
  Non-Presenting Author

• Poldi Kuhl, Leuphana University - Lueneburg
  Non-Presenting Author

• Dirk Lehr, Leuphana University - Lueneburg
  Non-Presenting Author