Lineage and Legacy
AI’s Place in the Evolution of Education Technology
As Artificial Intelligence (AI) emerges as a potentially seismic technological advance in the second quarter of the 21st century, educationalists face what may be an imminent ‘landmark’ moment within teaching, learning, and assessment.
This paper by RM Innovation Manager Nick Hope, frames AI within a broader pedagogical and technological context and considers a long-standing Education Technology Lineage.
About the author
Nick Hope has worked in education technology for over 20 years. He has a background in software engineering and completed his Master’s degree in Entrepreneurship Management and Innovation from the University of Bath in 2024.
For the last 2 years, Nick has been leading an innovation team in RM Assessment focusing on bringing a new ‘content analysis’ product to market. This new product ‘RM Echo’ is designed to assist with content feedback, quality, and originality, with obvious applications within the safeguarding of academic integrity.