IC Colloquium: Designing Learning Technologies to Support “Expert Thinking”
Event details
| Date | 19.09.2019 |
| Hour | 11:15 › 12:00 |
| Location | |
| Category | Conferences - Seminars |
By: Engin Bumbacher - Stanford University
Digital Vocational Education & Training candidate
Abstract:
A central aspect of expert thinking—broadly defined as the ability to solve new problems—is the ability to collect and interpret data to inform future decisions and actions. Schools currently offer too few opportunities for students to learn these expert behaviors. Technology can be used to provide such opportunities, but what makes a well-designed technology of this sort is not well understood. In this talk, I will present the work I have done over the course of my PhD to address this issue in the context of Science Education. In the first part of the talk, I will present studies on how technology design impacts students’ data-collection strategies. In the second part of the talk, I will discuss a new web-based technology that I co-developed to support expert thinking in K-12 life science classrooms. Finally, I will show how my research and design approach is particularly relevant to Vocational Education and Training (VET), where expert thinking is becoming increasingly important.
Bio:
Engin Bumbacher is a PhD candidate in Learning Sciences and Technology Design at Stanford University’s Graduate School of Education. His PhD research focuses on the design of novel education technologies to both foster generative scientific practices in K-12 science education and to change teaching practices in science classrooms. For example, his dissertation is centered on a novel web-based technology for Life Science classrooms that integrates experimentation with real microscopes, scientific modeling, data visualization and data analysis into a single platform. He holds a MSc in Neural Systems and Computation and a BSc in Physics from the Swiss Federal Institution of Technology Zurich. Before returning to academia for his PhD in education, he explored the world of education by working at novel project-based schools and education technology startups in the San Francisco Bay Area.
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Digital Vocational Education & Training candidate
Abstract:
A central aspect of expert thinking—broadly defined as the ability to solve new problems—is the ability to collect and interpret data to inform future decisions and actions. Schools currently offer too few opportunities for students to learn these expert behaviors. Technology can be used to provide such opportunities, but what makes a well-designed technology of this sort is not well understood. In this talk, I will present the work I have done over the course of my PhD to address this issue in the context of Science Education. In the first part of the talk, I will present studies on how technology design impacts students’ data-collection strategies. In the second part of the talk, I will discuss a new web-based technology that I co-developed to support expert thinking in K-12 life science classrooms. Finally, I will show how my research and design approach is particularly relevant to Vocational Education and Training (VET), where expert thinking is becoming increasingly important.
Bio:
Engin Bumbacher is a PhD candidate in Learning Sciences and Technology Design at Stanford University’s Graduate School of Education. His PhD research focuses on the design of novel education technologies to both foster generative scientific practices in K-12 science education and to change teaching practices in science classrooms. For example, his dissertation is centered on a novel web-based technology for Life Science classrooms that integrates experimentation with real microscopes, scientific modeling, data visualization and data analysis into a single platform. He holds a MSc in Neural Systems and Computation and a BSc in Physics from the Swiss Federal Institution of Technology Zurich. Before returning to academia for his PhD in education, he explored the world of education by working at novel project-based schools and education technology startups in the San Francisco Bay Area.
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Practical information
- General public
- Free
- This event is internal
Contact
- Host: Pierre Dillenbourg