Research

KeBNE

On January 1, 2025, the new research project “KeBNE” (Kommunikation evidenzbasierter Bildung für nachhaltige Entwicklung in Schulen) was launched. The project is being conducted in collaboration with ReCCE and our ICCE partner and is funded by the Kultusministerium and the Stiftung Naturschutzfond.

The goal of the project is to develop and evaluate adaptive, narrative educational videos. These videos aim to provide teachers with empirically grounded insights into effective education for sustainable development in an engaging way. They will be used in teacher training programs and made available for self-study. The project duration is three years.

Team:

From ReCCE, the project team includes Prof. Dr. Werner Rieß, Prof. Dr. Martin Schwichow, Dr. Tobias Hoppe, and Dr. Vanessa Aeschbach. On the university side, Dr. Tino Endres (lead coordinator), Prof. Dr. Andrea Kieser, and Charlotte Vössing are involved in the project’s implementation.

For inquiries, please contact Dr. Tino Endres (tino.endres@psychologie.uni-freiburg.de) or Dr. Tobias Hoppe (tobias.hoppe@ph-freiburg.de).

Lasting learning in physics by constructive retrieval:

When students learn about, for example, Newton’s laws in the context of linear motion in mechanics, they should understand the learning content so that they can apply their knowledge. Furthermore, the students should be able to retrieve this knowledge from memory weeks later when the topic of circular motion builds on it. However, students often forget the learning content when it is needed. Hence, understanding and consolidating learned content is important for student development. Our research project focuses on these two key instructional goals contributing to lasting learning in physics education: (1) understanding and (2) knowledge consolidation. One way to particularly support understanding (1) is to encourage generative learning activities such as (principle-based) self-explanations. By self-explaining, students connect example cases to underlying principles (e.g., Newton’s laws). Such linking of examples to principles leads to an elaborated knowledge structure about the learning content, especially when self-explanations are of high quality. One way to particularly support knowledge consolidation (2) is to provide learning tasks with the “desirable difficulty” that students must retrieve—instead of looking up—previously learned content (i.e., retrieval practice). Retrieval practice is most effective when the retrieval is effortful and successful.
In most previous research, generative learning activities and retrieval practice have been studied separately or they have been compared with respect to their effectiveness. Few studies have analyzed their combination, which is also known as “constructive retrieval”. In this project, our team of researchers from psychology and physics education from the Universities of Freiburg and Giessen cooperatively investigate whether constructive retrieval can fulfill the two instructional goals of lasting learning in physics education, that is, understanding and knowledge consolidation. In three experimental field studies, 11th-grade students work within a tablet-based learning environment about mechanics (Newton’s laws 1 and 2) as part of their regular physics instruction. We assess whether constructive retrieval is particularly appropriate to foster the attainment of lasting learning (i.e., understanding and knowledge consolidation; Experiment 1). Furthermore, we analyze whether providing metacognitive knowledge by “informed training” (i.e., providing information about the utility of the learning activities) boosts the effects of constructive retrieval (Experiment 2). Finally, we test whether more complex generative learning activities reduce constructive-retrieval effects (Experiment 3). Overall, we expect that constructive retrieval, when implemented with a not-too-complex generative learning activity and when combined with informed training, leads to effective lasting learning in physics. In the future, this method may serve as a model for structuring complex learning in other topics in the classroom.

Team:

• Prof. Dr. Alexander Renkl
• Prof. Dr. Claudia von Aufschnaiter (University of Gießen)
• Prof. Dr. Alexander Eitel
• Dr. Tino Endres
• Prof. Dr. Andreas Vorholzer (Technical University of Munich)
• Dwayne Lieck
• Prof. Shana Carpenter. Ph. D.