Learning

Research: Desirable Difficulty in AI-Assisted Learning and Research Date: 2026-03-10 Search queries used: “desirable difficulty learning Robert Bjork cognitive science” “desirable difficulty AI-assisted learning research 2024 2025” “productive struggle AI tutoring systems cognitive load” “desirable difficulty vs undesirable difficulty AI tools over-reliance metacognition” “Manu Kapur productive failure AI learning design scaffolding 2024 2025” “spacing effect retrieval practice interleaving AI tools research 2025 learning retention” “desirable difficulty artificial intelligence research assistance knowledge generation 2025” Executive Summary “Desirable difficulty” is a term coined by cognitive psychologist Robert Bjork (UCLA) describing learning conditions that feel harder in the short term but produce superior long-term retention and transfer. Core techniques include spaced practice, …

In Defense of the Intelligent Use of AI Summaries A response to “Are AI-generated summaries suitable for studying and research?” — TU/e Library, February 24, 2026 The Wrong Question The TU/e Library’s February 2026 article makes a credible, data-grounded case against AI-generated summaries. Its findings are real. But it answers the wrong question. It asks whether AI summaries can replace the careful, deep study required for rigorous scientific output. The implicit audience is the academic researcher, the scientist, the person whose professional value rests on the precision and originality of their understanding. For that audience, the answer is: no, not yet, not without serious risk.