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SUMMARY:IC Colloquium: Designing Learning Technologies to Support “Exper
 t Thinking”
DTSTART:20190919T111500
DTEND:20190919T120000
DTSTAMP:20260407T163451Z
UID:539d668d3213d68aa9ffe89d8fcf8d99f99ede7b45304404c3c73b51
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Engin Bumbacher - Stanford University\nDigital Vocational 
 Education & Training candidate\n\nAbstract:\nA central aspect of expert th
 inking—broadly defined as the ability to solve new problems—is the abi
 lity 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 underst
 ood. 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 i
 mpacts students’ data-collection strategies. In the second part of the t
 alk\, I will discuss a new web-based technology that I co-developed to sup
 port expert thinking in K-12 life science classrooms.  Finally\, I will s
 how how my research and design approach is particularly relevant to Vocati
 onal Education and Training (VET)\, where expert thinking is becoming incr
 easingly important.\n\nBio:\nEngin Bumbacher is a PhD candidate in Learnin
 g Sciences and Technology Design at Stanford University’s Graduate Schoo
 l of Education. His PhD research focuses on the design of novel education 
 technologies to both foster generative scientific practices in K-12 scienc
 e education and to change teaching practices in science classrooms. For ex
 ample\, his dissertation is centered on a novel web-based technology for L
 ife Science classrooms that integrates experimentation with real microscop
 es\, scientific modeling\, data visualization and data analysis into a sin
 gle platform. He holds a MSc in Neural Systems and Computation and a BSc i
 n 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 technolo
 gy startups in the San Francisco Bay Area.\n\nMore information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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