Central data acquisition: Generalization, replication and longitudinal data

• Applicants: Professor Dr. Matthias Brand; Professor Dr. Detlev Leutner; Professorin Dr. Elke Sumfleth; Professor Dr. Maik Walpuski
• Subject Area: General and Domain-Specific Teaching and Learning
• Term: from 2017 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 397640892

In the first period of funding the relationship between predictors and outcome variables of studies success and if these relationships are mediated by learning strategies (e.g., management of resources) and studies satisfaction was investigated. Additionally, it was tested if these relationships (direct and mediated) are moderated by distinct requirements linked to natural and technical sciences. As a result, a multidisciplinary model of studies success in natural and technical sciences was proposed. The current project addresses three aims related to this multidisciplinary model: 1) testing for replicability 2) testing for generalizability and 3) applying the model on addition study years in a longitudinal study.

• DFG Programme: Research Grants