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SUMMARY:IC Colloquium: Using AI to Scale Learning By Making: Addressing th
 e Challenges of Broader Integration
DTSTART:20250327T101500
DTEND:20250327T111500
DTSTAMP:20260918T020151Z
UID:7fac0091b992d1c1c588bdaf4a3fb608c8644aea7c433ea2d52db1d5
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Richard Davis - KTH Royal Institute of Technology\n\nAbstr
 act\nRecent advances in computational technologies such as digital fabrica
 tion\, electronics\, and XR have contributed to a resurgence in constructi
 onist learning\, where students learn by creating personally meaningful ar
 tifacts using specially designed technologies known as microworlds. Howeve
 r\, the challenges that arise when integrating these technologies into bro
 ader educational contexts have gone largely unaddressed. In this talk\, I 
 present my work which addresses these challenges using machine learning an
 d generative AI\, discussing research projects on the design of novel hand
 s-on assessments\, generative AI tools that guide student creativity\, and
  multimodal AI-based teaching assistants explicitly aligned with establish
 ed learning theories. I will conclude by demonstrating how my focus on add
 ressing implementation challenges not only supports the scaling of constru
 ctionist pedagogy but also opens up new horizons of research opportunities
  which I will outline as part of my long-term vision for transforming lear
 ning environments.\n\nBio\nRichard Lee Davis is an Assistant Professor in 
 Digital Learning at the KTH Royal Institute of Technology. He holds a PhD 
 in Learning Sciences and Technology Design and an MSc in Computer Science 
 (AI/HCI) from Stanford University. He completed a postdoctoral fellowship 
 in computer science at the Swiss Federal Institute of Technology Lausanne 
 (EPFL) under Pierre Dillenbourg. At EPFL\, he also served as the co-execut
 ive director of the ETHz-EPFL Joint Doctoral Program in the Learning Scien
 ces (JDPLS).\n\nGuided by the theory of constructionism—which emphasizes
  learning through creating personally meaningful artifacts—his research 
 focuses on designing\, implementing\, and evaluating educational tools tha
 t expand the possibilities of "learning by making" to new topics and domai
 ns. He incorporates cutting-edge technologies like artificial intelligence
 \, digital fabrication\, haptic feedback\, computational crafting\, and vi
 rtual and augmented reality into these tools. His work has been recognized
  with awards such as the Stanford Interdisciplinary Graduate Fellowship\, 
 best paper awards at major conferences\, and several grants supporting inn
 ovative AI tools for creativity and problem-solving in education.\n\nMore 
 information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420 https://epfl.zoom.us/
 j/66911048523
STATUS:CONFIRMED
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