Excited to share our latest commentary just published in Nature Reviews Psychology! ✨ ""    Generative AI tools such as ChatGPT are reshaping education, promising improvements in learner performance and reduced cognitive load. 🤖 🤔But here's the catch: Do these immediate gains translate into deep and lasting learning? Reflecting on recent viral systematic reviews and meta-analyses on #ChatGPT and #Learning, we argue that educators and researchers need to clearly differentiate short-term performance benefits from genuine, durable learning outcomes. 💡 📌 Key takeaways: ✅ Immediate boosts with generative AI tools don't necessarily equal durable learning ✅ While generative AI can ease cognitive load, excessive reliance might negatively impact critical thinking, metacognition, and learner autonomy ✅ Long-term, meaningful skill development demands going beyond immediate performance metrics 🔖 Recommendations for future research and practice: 1️⃣ Shift toward assessing retention, transfer, and deep cognitive processing 2️⃣ Promote active learner engagement, critical evaluation, and metacognitive reflection 3️⃣ Implement longitudinal studies exploring the relationship between generative AI assistance and prior learner knowledge Special thanks 🙏 to my amazing collaborators and mentors, Samuel Greiff, Jason M. Lodge, and Dragan Gasevic, for their invaluable contributions, guidance, and encouragement. A big shout-out to Dr. Teresa Schubert for her insightful comments and wonderful support throughout the editorial process! 🌟 👉 Full article here: https://lnkd.in/g3YDQUrH 👉 Full-text Access (view-only version): https://rdcu.be/erwIt #GenerativeAI #ChatGPT #AIinEducation #LearningScience #Metacognition #Cognition #EdTech #EducationalResearch #BJETspecialIssue #NatureReviewsPsychology #FutureOfEducation #OpenScience

If broadly true, this is massive. "Our findings reveal that AI enhances general human capital (cognitive abilities and education) by facilitating adaptability… | 44 comments on LinkedIn