Structured Prompting Mitigates Cognitive Offloading in Generative AI Use

Welcome back to the show! We hear a lot about students using AI to write papers and study, but what happens when the professors start bringing AI into the classroom?

Why do 80% of organisations rely on traditional training when fewer than 10% see any real performance improvement? In this episode, we explore the collapse of the "checkbox learning" era and the rise of the Skills-First model

AI Classroom Playbook, a 2025 educational guide focused on the strategic integration of Artificial Intelligence in the classroom. The overarching goal is to demystify AI concepts and transform the educator’s function from a content deliverer into a facilitator of wisdom by shifting administrative burdens, thus enabling personalised learning pathways for students.

podcast dives into Google’s vision for the future of learning, exploring how artificial intelligence is set to reshape education—not by replacing teachers, but by supporting them. We analyze how AI can make learning more personal, accessible, and meaningful for everyone

This source is an academic article by Michael Gerlich titled "From Offloading to Engagement: An Experimental Study on Structured Prompting and Critical Reasoning with Generative AI," published in Data 2025. The study investigates how individuals engage with generative AI (GenAI) in reasoning tasks, testing four conditions.

Today, we're diving into a fascinating exploration of AI in education, specifically how NotebookLM, a Google Gemini-powered platform, can be used as a Socratic tutor for physics. This discussion will explore the design, implementation, and preliminary observations of this RAG-based tool. 

The collected sources focus extensively on the imperative need for and challenges surrounding Artificial Intelligence (AI) literacyacross educational settings.

This podcast  outlines a comprehensive framework for designing and building personalised AI tutors, emphasising a structured approach that blends technical capabilities with sound pedagogical principles. It details a multi-phase development journey, starting from discovery

The episode explores the impact of artificial intelligence on the workforce, dispelling the common fear that AI will entirely replace human jobs. It highlights that AI excels at repetitive, data-driven tasks such as analysis, content generation, and customer service, leading to the automation of certain roles like administrative work or entry-level customer support.    👉 Check out our courses here: MJR Learning Academy Courses Let’s connect if you’d like help choosing a course or setting up your own AI teaching toolkit.

oin us on AI Insights, the podcast that illuminates the transformative world of Artificial Intelligence. Whether you're a curious beginner or looking to deepen your understanding, we break down complex AI concepts into clear, engaging discussions, helping you navigate and make the most of these evolving technologies.   Join our free courses at   MJR Learning Academy