Boardroom Dialogue
Ghostwriting with ChatGPT: How to Ensure Original Student Work and Uphold Academic Integrity.
Date Thursday, Nov 23 Time – Room Knight
This Boardroom Dialogue will provide an overview of cheating detection techniques used in the pre-ChatGPT age and how the industry has evolved throughout the past year. Roger Larsen will introduce a novel method to detect ghostwriting both by humans AND generative AI. The method goes beyond traditional plagiarism checkers and AI-detection software.
Join this Boardroom Dialogue to:
- Find out about the current academic malpractice landscape
- Discover of a next generation originality method to safeguard academic integrity by discovering ghostwriting by humans and AI
- Learn how to leverage learning analytics (IRT & Psychometrics) and adaptive assessment methods to authenticate authorship
Roger Larsen
EdTech founder, investor & member of boards, Stellanor, Norway
Roger has developed educational technology for schools and universities for 25 years. Roger’s passion is to innovate within teaching, learning, and assessment, and have through that co-founded several companies; Fronter; Europe’s first Learning Management System, which was in use at 10-thousand schools. WeVideo; Enables learners to tell stories using multimedia, in use across more than half the schools in the US. Creaza; A creativity platform focused on developing 21st century skills, used at hundreds of Scandinavian schools. Roger has a degree in multimedia from Østfold University College of Norway and has served as Digital Strategy Director for Pearson UK.
Vegar Andreas Bergum
AI Specialist, NA
Vegar has, for the past three years, worked with the technical development of machine learning and AI-powered EdTech services for a leading digital assessment provider. These services include learning analytics engines, adaptive learning solutions, and academic integrity products. Through gaining his Master's degree in Data Science, and two years prior to ChatGPT, Vegar developed a (at the time) state-of-the-art generative AI model for producing question-answer pairs from articles to use in an academic and pedagogical setting. Vegar's focus is on applying AI and machine learning technology to improve education.