Current research projects
Didaktik der Chemie
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Peer-Interaction-Methode (PIM)Promoting conceptual understanding through a collaborative task format: The Peer Interaction Method (PIM) is a two-phase collaborative learning form guided by work sheets to promote understanding of general chemical concepts. The research focus is on conditions for success in order to derive suitable instructions or recommendations for an adequate group composition.Led by: Prof. Dr. Sascha SchanzeTeam:Year: 2016
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digiPro - Improving understanding Chemistry by using a digital problem-based learning environmentdigiPro provides both students and lecturers of chemistry-specific degree programmes with a practice-based digital learning environment based on the learning management system ILIAS. The research focus is on the design of suitable sample tasks (explanatory videos) or (collaborative) learning tasks to promote problem solving and representational competence.Led by: Prof. Dr. Sascha SchanzeTeam:Year: 2019Funding: MWK- Programms "Qualität plus-Programm zur Entwicklung des Studiums von morgen"Duration: 01/2019-12/2021
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Leibniz Prinzip II – field of action 2: Modern Formats of Learning - digital, reflective, didactically structured/teaching methodology structuredHigh-quality teaching focuses on the individual learning requirements of students and integrates digitally supported elements. The aim of this field of action is to promote digital competences for the reflection and design of student-oriented learning spaces among prospective teachers. To this end, teaching and learning spaces appropriate for the target group are digitally designed and supported in the university phase of teacher training.Led by: Prof. Dr. Sascha SchanzeTeam:Year: 2019Funding: BMBFDuration: 2019-2024
[uncategorized]
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LernMINT - Data-driven teaching in STEM subjects.Digital Transformation offers a variety of opportunities for school and university education. Although the integration of digital technologies in mathematics and science education as a teaching and learning tool already has a long tradition, there is a lack of studies, especially in STEM subjects, that embed data-driven learning analytics methods in STEM education concepts, evaluate their educational opportunities and limitations, and at the same time consider the aspects of data protection and fairness.Led by: Prof. Dr. Ralph Ewerth, Prof. Dr. Gunnar FriegeTeam:Year: 2020Funding: Niedersächsisches Ministerium für Wissenschaft und KulturDuration: 2020-2024
Finished research projects
Didaktik der Chemie
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Peer-Interaction-Methode (PIM)Promoting conceptual understanding through a collaborative task format: The Peer Interaction Method (PIM) is a two-phase collaborative learning form guided by work sheets to promote understanding of general chemical concepts. The research focus is on conditions for success in order to derive suitable instructions or recommendations for an adequate group composition.Led by: Prof. Dr. Sascha SchanzeTeam:Year: 2016
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digiPro - Improving understanding Chemistry by using a digital problem-based learning environmentdigiPro provides both students and lecturers of chemistry-specific degree programmes with a practice-based digital learning environment based on the learning management system ILIAS. The research focus is on the design of suitable sample tasks (explanatory videos) or (collaborative) learning tasks to promote problem solving and representational competence.Led by: Prof. Dr. Sascha SchanzeTeam:Year: 2019Funding: MWK- Programms "Qualität plus-Programm zur Entwicklung des Studiums von morgen"Duration: 01/2019-12/2021
-
Leibniz Prinzip II – field of action 2: Modern Formats of Learning - digital, reflective, didactically structured/teaching methodology structuredHigh-quality teaching focuses on the individual learning requirements of students and integrates digitally supported elements. The aim of this field of action is to promote digital competences for the reflection and design of student-oriented learning spaces among prospective teachers. To this end, teaching and learning spaces appropriate for the target group are digitally designed and supported in the university phase of teacher training.Led by: Prof. Dr. Sascha SchanzeTeam:Year: 2019Funding: BMBFDuration: 2019-2024
[uncategorized]
-
LernMINT - Data-driven teaching in STEM subjects.Digital Transformation offers a variety of opportunities for school and university education. Although the integration of digital technologies in mathematics and science education as a teaching and learning tool already has a long tradition, there is a lack of studies, especially in STEM subjects, that embed data-driven learning analytics methods in STEM education concepts, evaluate their educational opportunities and limitations, and at the same time consider the aspects of data protection and fairness.Led by: Prof. Dr. Ralph Ewerth, Prof. Dr. Gunnar FriegeTeam:Year: 2020Funding: Niedersächsisches Ministerium für Wissenschaft und KulturDuration: 2020-2024