AI Principles in Practice with a Learning Engineering Framework
Rachel Van Campenhout, Nick Brown, Benny G. Johnson · 2025
This conceptual paper develops responsible AI principles for educational technology and shows how a learning engineering process can make those principles operational rather than aspirational. It connects guidance on accountability, transparency, efficacy, human oversight, and ethical use to two development examples: a rule-based automatic question generation system and LLM-supported personalized feedback. The paper argues that learning engineering supplies the research grounding, documentation, evaluation, and iterative oversight needed to develop AI-enabled learning tools responsibly.