Schedule and Presentations

Programme

Monday, September 6

8:00 - 9:00  Check-in at registration desk (in front of Audimax)

Session 1

09:00 – 10:30

Opening: STEM learning as a manageable challenge for the human mind

• Welcome address by Joël Mesot, President of ETH Zürich and Frederic Merkt, representatives of the Latsis Foundation
• Elsbeth Stern: Research on STEM learning: Knowns and unknowns
• Günter M. Ziegler: Mathematics via Mistakes
 

Break

Session 2

11:00 - 12:45

Challenges in measuring learning outcomes in STEM fields

Chairs: Peter Edelsbrunner, Adrian Zwyssig

• Thomas Holme: New affordances in measuring student conceptual knowledge in chemistry via technology
• David Buschhüter: Automated Analysis of Physics Lesson Plans
• Christian Kautz: Assessing the impact of research-based active-learning materials on student conceptual understanding

Lunch Break

Session 3

14:15 - 15:45

The long road to conceptual understanding in science

Chairs: Sarah Hofer, Christian Thurn

Michael Schneider: Knowledge: A core concept difficult to grasp
Andrew Shtulman: Misconceptions never fully disappear
Sarah Bichler: Leveraging students’ emergent understanding to guide them towards Knowledge Integration

Break

Session 4

16:15 - 18:00

ETH’s research on STEM-learning and Opening of the ETH Youth Academy

Chair: Elsbeth Stern

Welcome address by Sarah Springman, Rector of ETH Zürich
• Ralph Schumacher: Cognitively Activating Learning Environments
• Manu Kapur: Future Learning Initiative
• Ilka Parchmann: Extracurricular activities at other universities

Tuesday, September 7

Session 5

8:00 - 9:00 Check-in at registration desk for new participants (in front of Audimax)

9:00 - 10:45

For whom is mathematics and what is it for?

Chairs: Michal Berkowitz, Simona Daguati

• Tom Coyle: Non-g factors and ability tilt predict STEM: Beyond general intelligence (g)
• Roland Grabner: Is there a mathematical brain? Psychological correlates of mathematical expertise
• Stefan Halverscheid: Studying math at the university: Is dropout predictable?
• Aljoscha Neubauer: What do I and what do others know about my talents?

Break

Session 6

11:15 - 13:00

The challenge of dealing with abstractness

Chairs: Andreas Vaterlaus, Andreas Lichtenberger

• Burkhard Kümmerer: Mathematics unites
• Sarah Malone: How to unfold the potential of multiple representations
• Jochen Kuhn and Stefan Küchemann: Visualizing and Analyzing MERs in Physics Education: From AR, Eye Tracking and AI

Lunch Break

Session 7

14:30 - 16:15

STEM-Learning through co-construction of knowledge with computer support

Chairs: Sonja Peteranderl, Thomas Braas

• Frank Reinhold: Making computer-based learning work for STEM education
• Nikol Rummel: CSCL meets STEM: How and when collaborative learning and computer support may aid STEM learning
• Anne Deiglmayr: The role of knowledge interdependence in collaborative learning
 

Wednesday, September 8

8:00 - 9:00 Check-in at registration desk for new participants (in front of Audimax)

Session 8

9:00 - 10:45

From Early on: Establishing an encouraging culture of STEM learning

Chairs Lennart Schalk, Rachel Schwager  

• Henrik Saalbach: Supporting Early Science Learning: The Effects of Teacher Talk
• Katariina Salmela-Aro: Engagement in science in elementary and high schools
• Andreas Müller: Mathematics as the language of the "Book of Nature" (Galilei): Obstacles and Opportunities in Science Educatio
• Albrecht Beutelsbacher: Encounters with mathematics outside of school

Break

Session 9

11:15 - 12:45

Computer Science: How to implement evidence-based education

Chair: Ursina Markwalder, Giovanni Serafini

• Mareen Przybylla: Physical Computing - A Constructionist Approach for CS Education
• Ralf Romeike: The Role of Computer Science Education for Understanding and Shaping the Digital Society
• Comments from Eva Marinus, Jens Gallenbacher and Juraj Hromkovic

Lunch Break

Session 10

14:15 -15:15

Wrap up: Future Directions in Learning Research

Chair: Elsbeth Stern

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