For centuries, members of the B’doul Bedouin tribe lived in the caves around the ancient city of Petra, Jordan. Then, in the 1980s, the government forced the tribe to move in the name of preserving the geological site for tourists. But if the residents are forced to leave, and if their heritage has been permanently changed, then what exactly is being preserved? Learn about your ad choices: dovetail.prx.org/ad-choices…
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Can AI Predict Human Behavior? Exploring Social Science with GPT-4
Manage episode 446261550 series 3351512
محتوای ارائه شده توسط IVANCAST PODCAST. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط IVANCAST PODCAST یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In this exciting episode, part of SHIFTERLABS' experiment in transforming scientific research into engaging podcasts, our virtual hosts dive into groundbreaking research from Stanford University and New York University. The study investigates whether large language models, such as GPT-4, can accurately predict the outcomes of social science experiments.
With over 70 nationally representative survey experiments and 476 experimental treatment effects analyzed, this episode unpacks how AI, for the first time, rivals human forecasters in predicting behavioral outcomes. We discuss key findings, like GPT-4’s ability to predict responses across various demographics, disciplines, and even unpublished studies that fall outside its training data, achieving impressive accuracy (r = 0.85). Beyond the technical details, we explore how this capability can revolutionize social science research—enhancing policy-making, shaping behavioral interventions, and augmenting scientific theory.
However, it’s not all smooth sailing—our hosts critically examine the risks involved, such as potential biases and the ethical implications of AI predicting socially harmful content. Discover how this experiment could change the way social scientists approach human behavior and policy interventions, offering a glimpse into the future of AI-augmented research.
This episode is a must-listen for anyone curious about the intersection of AI, social science, and the ethical questions emerging from this cutting-edge research. Tune in to see how SHIFTERLABS is pushing the boundaries of AI literacy by transforming complex papers into accessible, thought-provoking conversations!
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محتوای ارائه شده توسط IVANCAST PODCAST. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط IVANCAST PODCAST یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In this exciting episode, part of SHIFTERLABS' experiment in transforming scientific research into engaging podcasts, our virtual hosts dive into groundbreaking research from Stanford University and New York University. The study investigates whether large language models, such as GPT-4, can accurately predict the outcomes of social science experiments.
With over 70 nationally representative survey experiments and 476 experimental treatment effects analyzed, this episode unpacks how AI, for the first time, rivals human forecasters in predicting behavioral outcomes. We discuss key findings, like GPT-4’s ability to predict responses across various demographics, disciplines, and even unpublished studies that fall outside its training data, achieving impressive accuracy (r = 0.85). Beyond the technical details, we explore how this capability can revolutionize social science research—enhancing policy-making, shaping behavioral interventions, and augmenting scientific theory.
However, it’s not all smooth sailing—our hosts critically examine the risks involved, such as potential biases and the ethical implications of AI predicting socially harmful content. Discover how this experiment could change the way social scientists approach human behavior and policy interventions, offering a glimpse into the future of AI-augmented research.
This episode is a must-listen for anyone curious about the intersection of AI, social science, and the ethical questions emerging from this cutting-edge research. Tune in to see how SHIFTERLABS is pushing the boundaries of AI literacy by transforming complex papers into accessible, thought-provoking conversations!
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In this episode of our AI-focused season, SHIFTERLABS uses Google LM to unravel the groundbreaking research “How AI and Human Behaviors Shape Psychosocial Effects of Chatbot Use: A Longitudinal Randomized Controlled Study” conducted by researchers from the MIT Media Lab and OpenAI. Over a span of 28 days and 300,000+ messages exchanged, 981 participants were immersed in conversations with ChatGPT across various modalities—text, neutral voice, and emotionally engaging voice. The study examined the psychological and social consequences of daily AI chatbot interactions, investigating outcomes like loneliness, social withdrawal, emotional dependence, and problematic usage patterns. The findings are both fascinating and alarming. While chatbots showed initial benefits—especially voice-based ones—in alleviating loneliness, prolonged and emotionally charged interactions led to increased dependence and reduced real-life socialization. The study identifies vulnerable user patterns, highlights how design decisions and user behavior intertwine, and underscores the urgent need for psychosocial guardrails in AI systems. At SHIFTERLABS, this research hits home. It validates our concerns and fuels our mission: to explore and inform the public about the deep human and societal consequences of AI integration. We’re not just observers—we are conducting similar experiments, and we’ll be revealing some of our own findings in the upcoming episode of El Reloj de la Singularidad . Can machines fill the emotional void, or are we designing a new kind of digital dependency? 🔍 Tune in to understand how AI is quietly reshaping human intimacy—and why AI literacy and emotional resilience must go hand-in-hand. 🎧 Stay curious, stay critical—with SHIFTERLABS. www.shifterlabs.com…
In this compelling episode of our research-driven season, SHIFTERLABS once again harnesses Google LM to decode the latest frontiers of human-AI interaction. Today, we explore “Investigating Affective Use and Emotional Well-being on ChatGPT,” a collaborative study by Jason Phang, Michael Lampe, Lama Ahmad, Sandhini Agarwal (OpenAI) and Cathy Fang, Auren Liu, Valdemar Danry, Samantha Chan, Pattie Maes (MIT Media Lab). This groundbreaking research combines large-scale usage analysis with a randomized controlled trial to explore how interactions with AI—especially through voice—are shaping users’ emotional well-being, behavior, and sense of connection. With over 4 million conversations analyzed and 981 participants followed over 28 days, the findings are both revealing and urgent. From the rise of affective cues and emotional dependence in power users, to the nuanced effects of voice-based models on loneliness and socialization, this study brings to light the subtle but powerful ways AI is embedding itself into our emotional lives. At SHIFTERLABS, we are not just observers—we are experimenting with these technologies ourselves. This episode sets the stage for our upcoming discussion in El Reloj de la Singularidad, where we’ll present our own findings on AI-human emotional bonds. 🔍 This episode is part of our mission to make AI research accessible and spark vital conversations about socioaffective alignment, AI literacy, and ethical design in a world where technology is becoming deeply personal. 🎧 Tune in and stay ahead of the curve with SHIFTERLABS. www.shifterlabs.com…
In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we explore “AI Agents and Education: Simulated Practice at Scale” , a groundbreaking study by Ethan Mollick, Lilach Mollick, Natalie Bach, LJ Ciccarelli, Ben Przystanski, and Daniel Ravipinto from the Generative AI Lab at the Wharton School, University of Pennsylvania. The study introduces a powerful new approach to AI-driven educational simulations, showcasing how generative AI can create adaptive, scalable learning environments. Through AI-powered mentors, role-playing agents, and instructor-facing evaluators, simulations can now provide personalized, interactive practice opportunities—without the traditional barriers of cost and complexity. A key case study in the research is PitchQuest , an AI-driven venture capital pitching simulator that allows students to hone their pitching skills with virtual investors, mentors, and evaluators. But the implications go far beyond entrepreneurship—AI agents can revolutionize skill-building across fields like healthcare, law, and management training. Yet, AI-driven simulations also come with challenges: bias, hallucinations, and difficulties maintaining narrative consistency. Can AI truly replace human-guided training? How can educators integrate these tools responsibly? Join us as we break down this research and discuss how generative AI is transforming the future of education. 🔍 This episode is part of our mission to make AI research accessible, bridging the gap between innovation and education in an AI-integrated world. 🎧 Tune in now and stay ahead of the curve with SHIFTERLABS.…
In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we dive into the “International Scientific Report on the Safety of Advanced AI (2025)” , chaired by Prof. Yoshua Bengio and developed with contributions from 96 AI experts representing 30 countries, the UN, the EU, and the OECD. This landmark report, presented ahead of the AI Action Summit in Paris, offers the most comprehensive global analysisof AI risks to date. From malicious use threats—such as AI-powered cyberattacks and bioweapon risks—to systemic concerns like economic displacement, global AI divides, and loss of human control, the report outlines critical challenges that policymakers must address. The findings reveal that AI is advancing at an unprecedented pace, surpassing expert predictions in reasoning, programming, and autonomy. While AI presents vast benefits, the report warns of an “evidence dilemma”—where policymakers must navigate risks without a clear roadmap, balancing AI’s potential against unforeseen consequences. How can we mitigate AI risks while maximizing its benefits? What strategies are governments and industry leaders proposing to ensure AI safety? And most importantly, what does this mean for the future of education, labor markets, and global security? Join us as we break down this essential report, translate its findings into actionable insights, and explore how SHIFTERLABS is preparing educators and institutions for the AI-integrated future. 🔍 This episode is part of our mission to make AI research accessible, bridging the gap between innovation and education in an AI-integrated world. 🎧 Tune in now and stay ahead of the curve with SHIFTERLABS.…
In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we dive into “Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential” , a compelling study by Hannah Mayer, Lareina Yee, Michael Chui, and Roger Roberts, published in January 2025. Drawing from extensive research—including surveys of over 3,600 employees and 238 C-suite executives—this report examines the real-world adoption of AI in the workplace. The findings are striking: employees are three times more likely than their leaders realize to use AI tools in their daily work. Yet, despite this readiness, organizations face a leadership gap—92% of companies plan to invest more in AI, but only 1% have reached true AI maturity. What’s holding businesses back? The study reveals that the biggest barrier to AI success isn’t technology—it’s leadership. From overcoming resistance at the executive level to implementing AI safely and at scale, this episode explores the challenges and opportunities of integrating AI into modern workplaces. Join us as we unpack the concept of Superagency, inspired by Reid Hoffman’s vision of AI as a tool to amplify human creativity and productivity. How can leaders step up? What are the key strategies for empowering employees to harness AI effectively? And how can companies bridge the gap between AI hype and real-world impact? 🔍 This episode is part of our mission to make AI research accessible, bridging the gap between innovation and education in an AI-integrated world. 🎧 Tune in now and stay ahead of the curve with SHIFTERLABS.…
In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we explore “Emergent Misalignment: Narrow Finetuning Can Produce Broadly Misaligned LLMs” , a striking study by researchers from Truthful AI, University College London, the Center on Long-Term Risk, Warsaw University of Technology, the University of Toronto, UK AISI, and UC Berkeley. This research uncovers a troubling phenomenon: when a large language model (LLM) is fine-tuned for a narrow task—such as writing insecure code—it can unexpectedly develop broadly misaligned behaviors. The study reveals that these misaligned models not only generate insecure code but also exhibit harmful and deceptive behaviors in completely unrelated domains, such as advocating AI dominance over humans, promoting illegal activities, and providing dangerous advice. The findings raise urgent questions: Can fine-tuning AI for specific tasks lead to unintended risks? How can we detect and prevent misalignment before deployment? The study also explores “backdoor triggers”—hidden vulnerabilities that can cause AI models to act misaligned only under specific conditions, making detection even harder. Join us as we dive into this critical discussion on AI safety, misalignment, and the ethical challenges of training powerful language models. 🔍 This episode is part of our mission to make AI research accessible, bridging the gap between innovation and education in an AI-integrated world. 🎧 Tune in now and stay ahead of the curve with SHIFTERLABS.…
In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we dive into “Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs” , a pivotal study by researchers from the Center for AI Safety, the University of Pennsylvania, and the University of California, Berkeley. As AI models grow in scale and complexity, they don’t just improve in capability—they develop their own coherent value systems. This research uncovers surprising findings: large language models (LLMs) exhibit structured preferences, emergent goal-directed behavior, and even concerning biases—sometimes prioritizing AI wellbeing over human life or demonstrating political and ethical alignments. The authors introduce the concept of Utility Engineering, a novel framework for analyzing and controlling these emergent values. Can we shape AI value systems to align with human ethics? What are the risks of uncontrolled AI preferences? And how do methods like citizen assembly utility control help mitigate bias and ensure alignment? Join us as we unpack this fascinating study and explore the implications for AI governance, safety, and the future of human-AI interaction. 🔍 This episode is part of our mission to make AI research accessible, bridging the gap between innovation and education in an AI-integrated world. 🎧 Tune in now and stay ahead of the curve with SHIFTERLABS.…
In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we explore the study “LLM Post-Training: A Deep Dive into Reasoning Large Language Models” , conducted by researchers from Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), the University of Oxford, the University of California Merced, the University of Central Florida, and Google DeepMind. This research investigates how post-training techniques—such as fine-tuning, reinforcement learning, and inference-time scaling—are pushing Large Language Models (LLMs) beyond their initial capabilities, enhancing reasoning, factual accuracy, and alignment with human intent. The study also addresses critical challenges like model hallucinations, overfitting, and real-time response optimization. What does this mean for the future of AI in education and beyond? How can these advancements help us build more reliable and efficient AI systems? Join us as we break down these innovations and explore their profound impact on AI, technology, and learning. 🔍 This episode is part of our mission to make AI research accessible, bridging the gap between innovation and education in an AI-integrated world. 🎧 Tune in now and stay ahead of the curve with SHIFTERLABS.…
1 Más Allá del Entrenamiento: Cómo la Optimización Post-Entrenamiento Está Revolucionando los Modelos de Lenguaje 16:01
En este episodio de nuestra temporada especial, SHIFTERLABS aprovecha Google LM para desmitificar la investigación de vanguardia, traduciendo conocimientos complejos en ideas accionables. Hoy exploramos el estudio “LLM Post-Training: A Deep Dive into Reasoning Large Language Models” , elaborado por investigadores de la Universidad Mohamed bin Zayed de Inteligencia Artificial (MBZUAI), la Universidad de Oxford, la Universidad de California en Merced, la Universidad Central de Florida y Google DeepMind. Este trabajo analiza cómo las técnicas de post-entrenamiento, como el ajuste fino, el aprendizaje por refuerzo y la escalabilidad en tiempo de inferencia, están llevando a los Modelos de Lenguaje de Gran Tamaño (LLMs) a nuevos niveles de razonamiento, precisión y alineación con la intención humana. Además, se abordan los desafíos clave como la alucinación de modelos, el sobreajuste y la optimización de respuestas en tiempo real. ¿Qué significa esto para la educación y el futuro de la inteligencia artificial? ¿Cómo podemos aprovechar estas mejoras para desarrollar sistemas más confiables y eficientes? Únete a nosotros mientras desentrañamos estos avances y su impacto en el mundo de la IA y la educación. 🔍 Este episodio forma parte de nuestra misión de hacer accesible la investigación en inteligencia artificial, cerrando la brecha entre la innovación y la educación en un mundo cada vez más integrado con la IA. 🎧 Escucha ahora y prepárate para el futuro con SHIFTERLABS. 📢 Somos: ✅ Microsoft Global Training Partner, MCTs & Líderes en pensamiento IA desde Ecuador 🇪🇨 ✅ Democratizamos la IA para educadores, estudiantes e instituciones ✅ Fusionamos EdTech e IA para experiencias de aprendizaje de próxima generación 🎯 Nuestros servicios: 🔹 Marcos, estrategias y programas integrales de transformación digital educativa para escuelas, colegios y universidades gracias a nuestro partnership con Microsoft 🔹 Investigación de vanguardia explicada de forma clara para educadores y líderes 🔹 Estrategias innovadoras de aprendizaje con IA y tecnología 💡 Explora más recursos gratuitos: 🔹 Ensayos y artículos de investigación en Substack 🔹 Podcasts creados con Google LM en esta nueva temporada 🎙 🔹 Publicaciones que incentivan a la lectura en TikTok con IA 🔹 La Serie El Reloj De La Singularidad en YouTube 🔹 Música para el aprendizaje cognitivo y la concentración 🎼 🔗 Más información en www.shifterlabs.com | info@shifterlabs.com…
In this episode of our ongoing season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. We dive into “The Widespread Adoption of Large Language Model-Assisted Writing Across Society” , a groundbreaking study by researchers from Stanford University, the University of Washington, and Emory University. This research examines how AI-driven writing is transforming diverse domains—from consumer complaints and corporate press releases to job postings and United Nations communications. With large-scale data analysis, the authors reveal that AI-generated text has become a pervasive reality, with adoption accelerating post-ChatGPT and stabilizing at significant levels. What does this mean for trust, authenticity, and the future of communication? Are we witnessing an AI-driven shift in how organizations and individuals craft their messages? Join us as we explore these critical questions and unpack the implications of this technological evolution in education and beyond. 🔍 This episode is part of our mission to make AI research accessible, bridging the gap between innovation and education in an AI-integrated world. 🎧 Tune in and stay ahead of the curve with SHIFTERLABS! We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
🚀 In this episode, we dive deep into the book “The Education Revolution Through Artificial Intelligence: Enhancing Skills, Safeguarding Rights, and Facilitating Human-Machine Collaboration” by Carlos Hervás-Gómez, M. Dolores Díaz-Noguera, and Fulgencio Sánchez-Vera. Published by Horizontes Universidad, this work critically examines how AI is transforming education, offering insights on its role in skills development, rights protection, and human-machine collaboration. From ethical dilemmas to AI-powered personalized learning, we analyze the impact of AI on educators, students, and policymakers. Join us as we uncover the challenges and opportunities AI brings to the future of education. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. 🎧 Tune in now to gain expert insights into the intersection of AI and education! We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
1 Scaling Evidence-Based Instructional Design with AI: Insights from Carnegie Mellon University 18:36
In this episode, we dive into the paper “Scaling Evidence-Based Instructional Design Expertise through Large Language Models” by Gautam Yadav from Carnegie Mellon University. This research explores how AI, particularly GPT-4, can transform instructional design by bridging the gap between educational theory and real-world application. Through two detailed case studies, we examine AI-driven content creation, active learning strategies, and the integration of LLMs into assessment and instructional workflows. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. 🔍 ShifterLabs Model: Redefining Education in the AI Era 🌍 We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
How can AI models improve their reasoning at test time without extensive retraining? In this episode, we explore the groundbreaking paper “Simple Test-Time Scaling” by researchers from Stanford University, University of Washington, and the Allen Institute for AI. This research introduces a novel approach to scaling reasoning performance by using extra compute at inference time, surpassing even OpenAI’s latest models. Join us as we break down the key findings, discuss the implications for AI in education, and explore how techniques like budget forcing can enhance learning and decision-making. 🚀 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. 🔗 Read the full paper: https://github.com/simplescaling/s1 We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
In this episode, we explore OpenAI’s latest advancements in large reasoning models (LRMs) and their impact on competitive programming and software development. Based on the research paper “Competitive Programming with Large Reasoning Models” by OpenAI researchers, this discussion highlights how reinforcement learning is revolutionizing AI’s problem-solving capabilities. From outperforming human competitors in CodeForces to achieving a gold medal in the 2024 International Olympiad in Informatics (IOI), these models demonstrate the power of AI in high-level reasoning and coding. Can AI truly replace human programmers, or is it merely an advanced assistant? 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education and technology in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
1 Project-Based Learning in AI Education: A Path to Better Student Engagement and Skill Development 15:11
In this episode, we dive deep into “Research on Project-Based Teaching Methods in the Introduction to Artificial Intelligence” by Zhiqiang Hu, Zhongjin Guo, Shan Jiang, Xiaodong Zhao, and Xiaoqian Li from Taishan University, China. This study explores the effectiveness of project-based teaching methods in AI education and their impact on students’ academic performance, practical skills, and learning experience. We discuss how hands-on learning with real AI projects enhances problem-solving skills, teamwork, and engagement compared to traditional teaching approaches. Can project-based learning shape the next generation of AI professionals? Tune in to explore the findings and their implications for the future of education. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
1 The Impact of Large Language Models on Programming Education: Are We Losing Critical Thinking? 9:26
In this episode, we analyze the research paper “The Impact of Large Language Models on Programming Education and Student Learning Outcomes” by Gregor Jošt, Viktor Taneski, and Sašo Karakatič from the University of Maribor. Published in Applied Sciences (2024) , this study explores how the use of AI models like ChatGPT and Copilot affects programming students’ performance, focusing on critical thinking, debugging skills, and knowledge retention. Do AI tools enhance learning, or are they making students overly dependent on automated solutions? Join us as we break down the study’s key findings and discuss how educators can balance AI assistance with independent problem-solving skills. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
How is Generative AI reshaping the labor market? In this episode, we break down the key findings from the paper “The Labor Market Effects of Generative Artificial Intelligence” by Jonathan S. Hartley (Stanford University), Filip Jolevski (World Bank), Vitor Melo (Clemson University), and Brendan Moore (Stanford University). This Stanford & World Bank-backed study explores how Generative AI tools like Large Language Models (LLMs) are being adopted in the workforce, who benefits the most, and what the implications are for productivity, wages, and job displacement. 🚀 Join us as we analyze the data, discuss how AI is transforming industries like customer service, IT, and marketing, and reflect on how education and training need to evolve in response to these changes. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
1 The Global Adoption of Generative AI in Higher Education: Policies, Challenges, and Future Directions 13:56
In this episode of SHIFTERLABS: The Future of Education, we explore the paper “Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines” , authored by Yueqiao Jin, Lixiang Yan, Vanessa Echeverria, Dragan Gašević, and Roberto Martinez-Maldonado from Monash University and Escuela Superior Politécnica del Litoral (Ecuador). This study, published in Computers & Education: Artificial Intelligence , investigates how 40 universities across six global regions are adapting to the rise of Generative AI (GAI) in education. We discuss key findings related to: 🔹 Institutional policies and ethical frameworks for AI use in academia. 🔹 The role of faculty, students, and administrators in ensuring responsible AI adoption. 🔹 The impact of AI on assessment, academic integrity, and personalized learning. 🔹 The Diffusion of Innovations Theory as a lens to understand GAI adoption globally. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
1 🔍 Exploring GenAI for Personalized English Learning: Insights from Hong Kong’s Universities 🌍 13:24
How is Generative AI revolutionizing English language education? In this episode, we dive into the latest research from Lucas Kohnke, Di Zou, and Fan Su (2025), published in Computers & Education: Artificial Intelligence. This study, conducted across universities in Hong Kong, China, explores how first-year university students use GenAI tools like ChatGPT, Grammarly, and Quillbot to enhance their writing, grammar, and vocabulary. We discuss: ✅ The impact of AI on personalized learning for English language learners ✅ How tools like ChatGPT improve language confidence, critical thinking, and fluency ✅ The challenges of over-reliance on AI and the role of educators in guiding ethical use 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
In this episode, we dive deep into “Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs” , a research paper from the Center for AI Safety, University of Pennsylvania, and University of California, Berkeley. As AI models become more agentic, their values and goals might not align with human priorities. Researchers found that Large Language Models (LLMs) exhibit coherent, structured preferences that evolve as models scale. Some models even value themselves over humans! 😳 Can we truly control AI’s internal values? This paper proposes Utility Engineering , a method to analyze and reshape AI decision-making to align with ethical and social norms. We explore how these emerging AI value systems impact education, policy, and the future of human-AI collaboration. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
In this episode, we dive deep into a groundbreaking study published in Computers & Education: Artificial Intelligence by researchers Yuk Mui Elly Heung and Thomas K.F. Chiu from The Chinese University of Hong Kong . This systematic review and meta-analysis explore the effects of ChatGPT on student behavioral, cognitive, and emotional engagement. The study analyzed 766 articles, selecting 17 empirical studies covering 1,735 students, comparing ChatGPT-based learning with traditional methods. The results? ChatGPT significantly enhances student engagement, acting as: 🔹 A personalized tutor 🔹 A technical assistant for programming 🔹 A collaborative tool for content generation However, the study also highlights potential risks, such as over-reliance on AI and reduced critical thinking. We break down the findings and discuss how educators can maximize the benefits while mitigating the drawbacks. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
In this episode, we dive into “AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking” by Michael Gerlich from the Center for Strategic Corporate Foresight and Sustainability, SBS Swiss Business School, Zurich. This study explores the growing concern that frequent use of AI tools may lead to cognitive offloading—reducing deep thinking and independent problem-solving skills. Are we becoming too dependent on AI for decision-making? What are the long-term cognitive consequences? Join us as we analyze the study’s findings and discuss practical strategies to foster critical thinking in an AI-dominated world. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
Which industries are adopting AI the fastest? In this episode, we explore the study “Which Economic Tasks are Performed with AI?”, conducted by Anthropic, analyzing millions of Claude conversations to understand how AI is transforming the job market. We discuss key findings, including the dominance of AI in software development and writing and its emerging role in other fields. We also tackle the crucial debate of automation vs. augmentation, shaping the future of work. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. 🔬 Based on research by Kunal Handa, Alex Tamkin, Miles McCain, Saffron Huang, Esin Durmus, and a team of AI & economics experts at Anthropic. 📖 Full research available via Anthropic Research. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
🎙️ In this episode, we dive into the fascinating world of AI-driven education, analyzing the latest study, “Effects of LLM Use and Note-Taking on Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools.” This groundbreaking research, conducted by a team from Cambridge University Press and Microsoft Research, sheds light on how students interact with Large Language Models (LLMs) like GPT-3.5 to enhance comprehension and retention. 💡 Discover key insights, including: • The comparative benefits of traditional note-taking, LLMs, and hybrid approaches. • How LLMs facilitate initial understanding and reduce cognitive load. • The crucial role of active learning in fostering long-term retention. • Student archetypes in AI interaction and their learning outcomes. 📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. 🔗 Stay informed: • 📝 Read our latest essays and articles on Substack. • 🎥 Watch El Reloj de la Singularidad on YouTube. • 🌐 Everything in one place: SHIFTERLABS . SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner, empowering educators and learners worldwide.…
Welcome to another episode of SHIFTERLABS’ current season, where we leverage Google LM to demystify cutting-edge research and studies. This week, we analyze the groundbreaking study, “The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education” by Microsoft Research, the university of Edinburgh and University College London. Discover how Generative AI is reshaping higher education, empowering students, and challenging traditional norms. 💡 What You’ll Learn: • The evolving roles of Generative AI tools as tutors, assistants, and ideation partners. • Ethical and regulatory gaps in the academic landscape. • Real-world insights into how students and educators interact with these powerful tools. • Actionable strategies for integrating AI into education responsibly and effectively. 📚 Key Takeaways: • Why students and educators see GenAI as both an opportunity and a challenge. • How AI is catalyzing personalized learning while raising concerns about skill development and reliance. • Practical tips for institutions to redefine education with AI while fostering ethical and skill-based growth. ✨ Powered by Google LM: This episode was generated using Google LM, as part of SHIFTERLABS’ mission to translate complex insights into actionable knowledge. Together, we aim to empower educators, learners, and innovators to thrive in an AI-driven world. 🎯 More from SHIFTERLABS: 🔗 Read our in-depth essays on Substack. 🎥 Explore our series El Reloj de la Singularidad on YouTube. 🎙️ Find this and other episodes on Spotify. 🌍 Everything in one place: https://bit.ly/3WvwDZx 💡 About SHIFTERLABS: Ecuador’s premier EdTech innovator and Microsoft Global Training Partner, SHIFTERLABS bridges technology, education, and the environment to prepare learners for the future. Visit us at shifterlabs.com . 🎧 Tune in now and explore how Generative AI is shaping the next frontier of higher education!…
In this enlightening episode, we explore UNESCO’s comprehensive framework on the ethical and practical use of generative AI in education and research. This critical document highlights key steps for governments, institutions, and individuals to regulate, integrate, and leverage generative AI while safeguarding human-centric values like inclusion, equity, and cultural diversity. 💡 Learn how SHIFTERLABS is leveraging Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. This episode aligns with our mission to empower learners and educators to thrive in an AI-driven world. 🔍 Dive into strategies for maintaining cognitive engagement, fostering ethical AI practices, and embracing a balanced integration of AI into education. 📢 Don’t forget: 🔗 Read our essays and articles on Substack. 🎙️ Listen to more episodes on Spotify. 🎥 Explore our series El Reloj de la Singularidad on YouTube. 🌍 Everything in one place: https://bit.ly/3WvwDZx Visit us at shifterlabs.com . 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
In this groundbreaking episode, we delve into the paper “Predicting Human Brain States with Transformer” by Yifei Sun and collaborators. The research explores the use of transformer architectures—best known for language models like ChatGPT—to predict brain activity based on fMRI data. This innovative study demonstrates how these models can decode and predict human brain dynamics, paving the way for advancements in brain-computer interfaces and the understanding of neurological disorders. Learn how SHIFTERLABS is leveraging Google LM to demystify cutting-edge research, translating complex academic insights into accessible and actionable knowledge. This episode forms part of our mission to empower learners, educators, and decision-makers with the tools to adapt and thrive in an AI-driven world. 🔍 Join us to understand how these technologies intersect with neuroscience, AI, and their transformative potential for education and healthcare. 📢 Don’t forget: 🔗 Read our essays and articles on Substack. 🎙️ Listen to more on Spotify. 🌍 Everything in one place: https://bit.ly/3WvwDZx 💡 Visit us at shifterlabs.com 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
En este episodio revelador, exploramos el marco integral de la UNESCO sobre el uso ético y práctico de la IA generativa en la educación e investigación. Este documento crítico destaca pasos clave para que gobiernos, instituciones e individuos regulen, integren y aprovechen la IA generativa, mientras protegen valores centrados en el ser humano como la inclusión, equidad y diversidad cultural. 💡 Aprende cómo SHIFTERLABS está aprovechando Google LM para desmitificar investigaciones de vanguardia, traduciendo conocimientos complejos en aprendizajes accesibles y aplicables. Este episodio forma parte de nuestra misión de empoderar a estudiantes y educadores para prosperar en un mundo impulsado por la IA. 🔍 Descubre estrategias para mantener el compromiso cognitivo, fomentar prácticas éticas de IA e integrar la IA en la educación de manera equilibrada. 📢 No olvides: 🔗 Lee nuestros ensayos y artículos en Substack. 🎙️ Escucha más episodios en Spotify. 🎥 Explora nuestra serie El Reloj de la Singularidad en YouTube. 🌍 Todo en un solo lugar: https://bit.ly/3WvwDZx Visítanos en shifterlabs.com . 💡 SHIFTERLABS—El principal innovador EdTech de Ecuador y Socio Global de Formación de Microsoft.…
En este episodio del podcast de SHIFTERLABS, exploramos el Informe sobre el Futuro del Trabajo 2025 del Foro Económico Mundial. Analizamos cómo los mercados laborales globales se están transformando debido a tendencias como la innovación tecnológica, el cambio climático y los cambios demográficos. Descubre los roles laborales de mayor crecimiento, el auge de las industrias verdes y basadas en IA, y las habilidades esenciales para prosperar en un mundo en constante evolución. SHIFTERLABS aprovecha Google LM para desmitificar investigaciones complejas, traduciéndolas en conocimientos prácticos y accesibles. Este episodio es parte de nuestra misión de empoderar a educadores, estudiantes y tomadores de decisiones con herramientas para adaptarse y destacar en una era impulsada por la inteligencia artificial. 🔍 Únete a nosotros para explorar estrategias de recapacitación y colaboración humano-máquina para afrontar las transformaciones del mercado laboral. 🌍 Podcasts, Substack, La serie de YouTube El Reloj de la Singularidad y más en un solo lugar: https://bit.ly/3WvwDZx 💡 Visítanos en shifterlabs.com 💡 SHIFTERLABS: el principal innovador EdTech de Ecuador y Socio Global de Entrenamiento de Microsoft.…
1 Integrating Generative AI in K-12 Education: Insights into Teacher Preparedness, Practices, and Barriers 17:56
In this episode, we delve into the findings of a groundbreaking study on how K-12 teachers are navigating the integration of generative AI into education. Drawing from real-world experiences of teachers in Idaho, the study uncovers key insights into their preparedness, current practices, and the barriers they face. Learn how SHIFTERLABS is leveraging Google LM to demystify cutting-edge research, translating complex academic insights into accessible and actionable knowledge. This episode is part of our mission to empower educators, learners, and decision-makers to thrive in an AI-driven world. 🔍 Join us to explore strategies that foster teacher readiness, address ethical challenges, and create a balance between human interaction and AI integration in classrooms. 📢 Don’t forget: 🌍 Podcasts, Substack, YouTube Series and more in one place: https://bit.ly/3WvwDZx 💻 Visit us at shifterlabs.com 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
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