Katharina Groß
wiss. Mitarbeiterin und Promotionsstudentin
Arbeitsbereich Lehren und Lernen mit digitalen Medien
Wissenschaftliche Mitarbeiterin
Raum KL 23/205
14195 Berlin
Sprechstunde
nach Vereinbarung via Mail
Aktuelle Anstellung
Wissenschaftliche Mitarbeiterin und Promotionsstudentin an der Freien Universität Berlin, Fachbereich Erziehungswissenschaft und Psychologie, Arbeitsbereich Lehren und Lernen mit digitalen Medien
Berufserfahrungen
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Seit 2025 |
Wissenschaftliche Mitarbeiterin an der Freien Universität Berlin, Fachbereich Erziehungswissenschaft und Psychologie, ab 01.06.2026: Arbeitsbereich Lehren und Lernen mit digitalen Medien (Prof. Dr. Veit Kubik) bis 31.05.2026: Arbeitsbereich Sonderpädagogik – Entwicklung des Lernens (Prof. Dr. Gesa Schaadt) |
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2023 - 2025 |
Wissenschaftliche Hilfskraft an der Eberhard Karls Universität Tübingen, Institut für Erziehungswissenschaft, Tübingen Center for Digital Education, DFG-Projekt „Embedding generative and retrieval activities to foster inquiry based-learning in science classrooms" (Koordination: Dr. Heike Russ). |
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2021 - 2022 |
Forschungspraktikantin & Studentische Hilfskraft am IPN - Leibniz-Institut für die Pädagogik der Naturwissenschaften und Mathematik, Projekt: "IMPULSE" (Leitung: Dr. Janina Roloff-Bruchmann, Dr. Karin Guill) |
Wissenschaftliche Qualifikationen
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2025 |
Master of Science Schulpsychologie an der Eberhard Karls Universität Tübingen |
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2022 |
Bachelor of Arts Lehr-, Lern- und Trainingspsychologie und Germanistik an der Universität Erfurt |
Promotionsvorhaben
Generative learning activities, particularly generative drawing tasks, are increasingly recognized as effective strategies for fostering meaningful learning. By actively creating representations rather than passively receiving information, learners can engage in processes that strengthen the selection, organization and integration as well as the retention of knowledge.
Recent research has demonstrated the benefits of generative drawing across a variety of domains; however, the integration of digital drawing tools introduces new opportunities that remain unexplored. Digital environments can provide advantages such as adaptive scaffolding, immediate feedback, and flexible modes of representation. At the same time, closer examination of individual learner characteristics, particularly cognitive, motivational, and metacognitive mechanisms, is required to understand how different students engage with and benefit from generative drawing tasks.
My doctoral research project aims to address these gaps by investigating how digital technologies can be used to enhance generative drawing processes, with a focus on adapting to the individual needs of learners. Particular focus will be placed on students with learning difficulties, who often face structural barriers to educational participation and achievement. By examining underlying mechanisms of generative drawing, the aim is to identify design principles that will make such activities beneficial for all students, especially for those with learning difficulties. Ultimately, the project aims to establish digital generative drawing as a meaningful, practical, and inclusive learning activity that can be systematically incorporated into everyday classroom practice.