Self-learning module: Introduction to quantitative research in science education
Program Overview
Introduction to the University Program
The university program is offered by the Institute for Didactics of Natural Sciences, with a focus on physics didactics. The program encompasses various aspects, including research, teaching, and study opportunities.
Research Areas
- Overview of ongoing projects
- Research focus on explanations and explanatory videos
- Research focus on professional knowledge and teaching performance
- Short news from research
- Materials
Teaching and Study Opportunities
Teaching
- Student performances
- School equipment internship
- Planning/analysis v. Physics lessons
- Curricular concepts
- Accompaniment of the practical semester
- Physics for non-fiction lessons
- Graduate School of Physics Didactics
Study
- Studies start from winter semester 2020/21
- Start of studies until winter semester 2019/20
- Physics for ISSU (primary school teaching)
- Module descriptions
Master theses and teaching material
The program also includes opportunities for master's theses and provides teaching materials.
Self-learning module: Introduction to quantitative research in science education
Target group
This module is designed for doctoral students in the field of science didactics at the beginning of their promotion phase.
Content and goals
The module aims to provide a foundation for working with quantitative methods in data collection and analysis. It focuses on explaining and justifying the use of quantitative research within the research paradigm of science didactics. The critical rationalism approach serves as the basis for these considerations.
Duration and structure
The module is expected to take approximately 60 minutes to complete and is structured as follows:
- Introductory questions to sensitize participants to the content
- Video lecture (approximately 30 minutes)
- Comprehension quiz
- Advanced tasks 1 and 2
The goal of the module is to enable participants to critically reflect on the approach used in quantitative and qualitative studies and to justify quality criteria for research based on a fundamental paradigm. It aims to contribute to a deeper understanding, particularly in the design of studies.