Upcoming event: Professor Joseph Krjacik will give lecture on ‘How can Artificial Intelligence Support STEM Teaching and Learning?’

On December 1, 2022, Professor Joseph Krjacik, Michigan State University, USA, will be awarded an honorary doctorate at the University of Tartu. He is one of the members of the advisory board for the SciCar project.

On this occasion, Professor Krjacik will give a public lecture at 16:00 on November 30, 2022, at Liivi 2–127, Tartu, Estonia. Read more: https://ut.ee/en/nationaluniversity103

Joseph Krajcik, University Distinguished Professor Award Recipient

Information about Professor Krjacik’s lecture is as followed:

How can Artificial Intelligence Support STEM Teaching and Learning?

Joseph Krajcik

CREATE for STEM, Michigan State University

The Science, Technology, Engineering, and Mathematics (STEM) community faces significant challenges in preparing students to solve the most pressing and complex global problems concerning health, security, energy, and sustainability. Knowledge-in-use (i.e., the ability to use STEM knowledge), creativity, and critical thinking are required for future citizens to work together to solve such complex problems. To help students develop these critical competencies, we must make a paradigm shift in how we view STEM classroom environments. Students need to make use of their knowledge to solve complex problems and make sense of compelling and complex phenomena and solve ill-structured problems using scientific knowledge and practices. The vision is for students, no matter their gender, family background, community, and social-economic resources to have an equal opportunity to develop useful scientific knowledge, make sense of phenomena, and solve complex problems. Yet, such environments present challenges to teachers in assessing and providing timely feedback to students.

In this session, Professor Krajcik will present his work on how his team is using artificial intelligence (AI), as a partner to score open-ended explanation tasks and student-drawn models to provide immediate feedback to teachers and students and to suggest next steps that teachers and students can take to improve learning. Using AI can provide immediate, meaningful information on student performance individually and collectively to inform teachers to make timely instructional decisions. Using AI to assess knowledge-in-use performance-based tasks in STEM classrooms will allow teachers to adjust teaching and plan lessons to better support students in developing the competence to use scientific knowledge and practices. Professor Krajcik’s hope is that such classroom resources can help transform STEM classrooms where students take part in meaningful tasks to promote their learning. 

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