Project Marsbasen: Netværksanalytisk undersøgelse af en grand narrative-tilgang til fysikundervisning
Activity: Talk or presentation types › Lecture and oral contribution
Documents
- narrativeNetworkMarbaseJB
19.9 MB, PDF document
Jesper Bruun - Other
- Department of Science Education
- Center for Digital Education
Keynote held on day 1. Abstract:
This talk can be seen as a case-study of how to use network analysis for classroom research on developmental projects. First, I will present the Mars Base Project, in which we are creating a narrative-based learning game that upper secondary teachers can use in their classrooms. Teaching with The Mars Base takes the form of an interactive and partly digital story set in the future, where students take on the role of pioneers on Mars. Throughout the story, students are faced with a number of problems with physics content. It is in the context of solving these problems that students are meant to learn physics. After presenting the learning material, I will show how we use various forms of network analysis to investigate student engagement, attitudes and learning. We use networks of actions taken by teachers and students during classes to map the structure of teaching-learning activities, association networks (forma mentis networks) to gauge student mental lexica, social network analysis to investigate how students’ social and academic networks change over time, and networks of survey data to find patterns in student attitudes towards physics. Since we are beginning our main data collection, examples of networks will draw on existing literature, which will then be coupled to the case at hand: The Mars Base Project.
This talk can be seen as a case-study of how to use network analysis for classroom research on developmental projects. First, I will present the Mars Base Project, in which we are creating a narrative-based learning game that upper secondary teachers can use in their classrooms. Teaching with The Mars Base takes the form of an interactive and partly digital story set in the future, where students take on the role of pioneers on Mars. Throughout the story, students are faced with a number of problems with physics content. It is in the context of solving these problems that students are meant to learn physics. After presenting the learning material, I will show how we use various forms of network analysis to investigate student engagement, attitudes and learning. We use networks of actions taken by teachers and students during classes to map the structure of teaching-learning activities, association networks (forma mentis networks) to gauge student mental lexica, social network analysis to investigate how students’ social and academic networks change over time, and networks of survey data to find patterns in student attitudes towards physics. Since we are beginning our main data collection, examples of networks will draw on existing literature, which will then be coupled to the case at hand: The Mars Base Project.
12 Nov 2020
Event (Conference)
Title | Finnish Mathematics and Science Education Research Association Symposium 2020 |
---|---|
Abbreviated title | FMSERA 2020 |
Date | 12/11/2020 → 13/11/2020 |
Website | |
Location | University of Jyväskylä |
City | Jyväskylä |
Country/Territory | Finland |
Degree of recognition | International event |
- mars base, classroom observation, physics education research, network analysis
Research areas
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ID: 251404901