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In this episode, we delve into the vital topic of 'Human in the Loop' in the context of AI, education, and metacognition. We explore the delicate balance between human oversight and AI assistance, focusing on how important it is for students to engage in critical thinking before turning to AI for solutions. We discuss the necessity of giving students space to struggle and find solutions on their own as a means to develop deeper understanding and critical thinking skills. Moreover, we touch upon the crucial roles that context, expertise, and personalized learning play in this balance, sharing our insights from both a tech-development and educational standpoint. Join us for an enlightening discussion that emphasizes the irreplaceable value of human judgment in the age of AI. 00:00 The Importance of Human Judgment in Education 01:24 Introduction to the Episode 01:31 Defining 'Human in the Loop' 03:47 The Role of Expertise and Judgment in AI 04:50 The Iceberg Analogy in Teaching 05:35 Human Judgment in AI-Generated Content 12:10 Nuance and Context in AI 20:06 Metacognition and Student Engagement 27:54 Metacognition in Education 28:17 Challenges in Designing AI Bots 29:32 Curating Student Experiences 31:58 The Role of Human Connection in Tutoring 34:38 AI's Impact on Critical Thinking 37:41 Balancing AI and Student Struggle 42:04 Designing Effective Study Environments 49:05 Parental Involvement and Support 51:41 Closing Thoughts and Social Media Shoutouts