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PolyU Summit on Higher Education Transformation Hong Kong

Xiangen Hu, Hong Kong Polytechnic University, Institute for Higher Education Research and Development

Op uitnodiging van Xiangen Hu, Hong Kong Polytechnic University, Institute for Higher Education Research and Development (HERD) werd het PolyU Summit on Higher Education Transformation georganiseerd. Tijdens deze bijeenkomst stonden gepersonaliseerd leren en AI-gedreven innovaties in het hoger onderwijs centraal.

Op donderdag 17 en vrijdag 18 juli werd op uitnodiging van Xiangen Hu Hong Kong Polytechnic University(opent in nieuw venster), Institute for Higher Education Research and Development (HERD(opent in nieuw venster)), het PolyU Summit on Higher Education Transformation georganiseerd.

Tijdens deze bijeenkomst stonden gepersonaliseerd leren en AI-gedreven innovaties in het hoger onderwijs centraal. Het doel was om de meest urgente uitdagingen en kansen in het onderwijs van dir moment te bespreken, met name in het tijdperk van AI en de veranderende eisen vanuit de arbeidsmarkt.

Bert Bredeweg was één van de genodigden en gaf een presentatie over Teaching and Learning STEM with Interactive Knowledge Representations.

Andere sprekers

  • Ryan Baker, University of Pennsylvania - Affect Detectors Have Scaled in Research but not in Practice
  • Winslow Burleson, University of Arizona - Inventioneering Strategies to Succeed at Societal Grand Challenges
  • Min Chi, North Carolina State University - Deep Reinforcement Learning for Adaptive Teaching Strategies
  • Dragan Gašević, Monash University - Data-Driven Personalisation in Higher Education
  • Stephen Gilbert, Iowa State University - Human–AI Teaming: Intelligent Tutors Meet UX Design
  • Robert Goldstone, Indiana University Bloomington - Mathematical Reasoning as a Literally Physical Symbol System
  • Samuel Greiff, Technical University Munich - Measuring AI & Media Literacy in Large-Scale Assessments: Are Education Systems Ready?
  • Ronghuai Huang, Beijing Normal University - Bridging Technology and Pedagogy: Lessons from 100+ EdTech Projects
  • Susanne P. Lajoie, McGill University - Authentic Learning with Technology: From Classroom to Clinic
  • Chad Lane, University of Illinois Urbana-Champaign - From Dialogue to Partnership: Reflecting on Pre-LLM AIED Systems and the Vision of Social Generative AI
  • Collin Lynch, North Carolina State University - AI Tutors for Foundational Learning: The Importance of Process
  • Noboru Matsuda, North Carolina State University - Data-Driven Design: Iteratively Improving Tutors with Classroom Data
  • Vasile Rus, University of Memphis - Conversational AI in Education Before and After The ChatGPT Moment
  • Christian Schunn, University of Pittsburgh - Wise Guidance, Not Blind Automation: Human-AI Collaboration for Scalable Peer Feedback Analysis
  • George Siemens, University of South Australia - Learning in the Age of AI