AI-Based Assessment Webinar Panel
AI-Based Assessment: Promises, Progress and Pitfalls
Chief Learning Officer, Khan Academy
Associate Professor, Interdisciplinary Program of Data Science & Analytics, Georgetown University
Assistant Professor, Industrial-Organizational Psychology, Virginia Tech University
Professor, Industrial-Organizational Psychology, University of Minnesota
Assistant Professor, Psychiatry, New York University Grossman School of Medicine
Artificial Intelligence (AI) assessment applications are becoming ubiquitous in testing and assessment in healthcare, education and business. But there is still much to learn about how AI can enhance or hamper the assessment process in these contexts.
This presentation — co-hosted by the Buros Center for Testing and the MAP Academy — aims to provide researchers and practitioners an opportunity to learn more about the advantages and disadvantages of using AI-based assessment from five psychologists representing various fields.
Spring 2024 Methodology Applications Series
Intelligent Personal Learning Assistants in Higher/Teacher Education
Associate Professor, Innovative Learning Technologies
While struggle and learning are tightly coupled, there is a difference between productive struggle for accomplishing learning aims and navigating the organizational novelty that comes with each domain, course, instructor and platform.
This presentation describes the design, development and use of an iPLA for a course titled, "TEAC 259: Instructional Technology for Educational and Clinical Contexts."