In the second year of generative AI democratisation, we are starting to see promising implementations of this technology into educational solutions. In this session, we will demonstrate a few recent examples from my professional and academic work, and discuss the technological and pedagogical assumptions behind them. Among others, we will review teaching and learning assistants, scenario-based practice of future skills, AI-enabled feedback in the virtual classroom, and a content generation toolkit for teachers. We will also discuss the challenges faced when developing such tools responsibly, such as ensuring student data privacy, maintaining institutional compliance, and adhering to AI regulations.
Bio:
Kacper Łodzikowski is the Vice President of AI Capabilities at Pearson, a global education company. He designs and executes the company’s strategy for responsible AI research & development in education across numerous domains and segments. His work currently focuses on developing instructional systems for teachers and learners that blend natural language processing and generation with computational psychometrics. He is also an AI lecturer and researcher at Adam Mickiewicz University in Poznań, Poland. His academic work focuses on prototyping and piloting innovative solutions for computer-assisted language learning as well as increasing AI literacy levels among faculty staff and students.