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Earlier this week, I had the privilege of being a part of a dynamic panel discussion at Christ University, Bengaluru, where we delved into the transformative role and impact of Artificial Intelligence (AI) and Generative AI (GenAI) in higher education. Thanks to excellent moderation by Prof. Sirish Venkatagiri, our conversation explored the vast potential AI holds in revolutionizing the educational landscape, from personalized learning experiences to advanced research capabilities. We also discussed the ethical considerations and challenges that come with integrating AI into academia. Key takeaways from the discussion included: - 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: How AI can tailor educational content to meet the diverse needs of students, enhancing engagement and outcomes. - 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻: The ways in which AI is driving new frontiers in research, enabling faster data analysis and generating groundbreaking insights. - 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗜𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: The importance of ensuring AI applications are developed and used responsibly, maintaining fairness and inclusivity. Importantly, in the higher education administration and research space. - 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻: Speculating on how GenAI can shape the future classrooms and the evolving role of educators in an AI-augmented environment. It was truly inspiring to exchange ideas with fellow experts Priya Mallya, Dr. Madalasa and to witness the passion of the next generation of thinkers and leaders in AI. A huge thank you to Prof. Dr. Lakshmi mam for hosting us and to my fellow panelists for their insightful contributions. Looking forward to many more such discussions that pave the way for innovation in education!

🌟 Insights from the Askwith Education Forum at Harvard 🌟 I recently attended the first Askwith Education Forum of the 2024-25 academic year at Harvard Graduate School of Education. The discussion focused on the rapid rise of generative AI in classrooms and featured thought leaders from policy, research, and business sectors. Here are some key insights I gain from the forum: 1. "AI helps to visualize your dream. Visualizing your dream is the first step to making it a reality." — Marta McAlister AI can unlock students' creativity by helping them turn abstract ideas into tangible plans. The Creeper Race Car, an example of AI visualization, stands out as an invaluable tool for fostering innovation in the classroom. 2. "Learning is fundamentally social." — Marta McAlister & "We really reject the notion of AI as a replacement for teachers and as a replacement for educators." — Roberto J. Rodríguez This idea reinforces that while AI can enhance learning, human interaction and collaboration remain essential for true educational growth. 3. "We need to educate students to become critical consumers with healthy levels of skepticism." — Ying Xu With AI-generated content on the rise, students must learn to evaluate information critically, helping them to navigate biases and inaccuracies. These insights highlight AI's potential as a supportive tool while keeping the educator at the center of the learning process. It will be exciting to see where AI takes education next! #EdTech #Education #AskwithForum

AI in Education: Transforming Learning for the Future Exciting developments in #AIEducation are reshaping how we teach and learn. Here are some key insights from recent research: • The global AI in education market is set to reach $42.9 billion by 2030, growing at a CAGR of 36.0% (Grand View Research) • AI-powered personalized learning improves student performance by 23% on average (Journal of Educational Technology & Society, 2024) • Intelligent Tutoring Systems reduce learning time by up to 40% (Carnegie Mellon University, 2024) • 67% of K-12 schools in the US have implemented AI technology (EdTech Genome Project, 2024) • AI-enhanced learning environments show a moderate positive effect on student achievement (d = 0.59), with an even larger impact in STEM subjects (d = 0.78) (Review of Educational Research, 2024) The future of education is here, and it's powered by AI. As educators and industry professionals, how are we preparing for this AI-driven transformation? #EdTech #ArtificialIntelligence #FutureOfLearning #EducationInnovation

I’ve just finished marking a set of Year 10 Philosophy assessments with a challenging twist: students had full access to AI tools for writing, feedback, and editing. However, the marking criteria were redesigned to focus on their critical evaluation of AI outputs and their intentional use of AI suggestions, guided by their own disciplinary knowledge. The results were encouraging: Improved Understanding: 75% of students reported that using AI deepened their understanding of the subject. Enhanced Skills: 65% felt their subject-specific skills improved through AI engagement. Demonstrated Mastery: Over 80% showcased "strong" or "exceptional" understanding of their topics during viva voce assessments. Is this approach perfect? Not yet. But it’s a step toward integrating AI literacy into assessment, emphasising critical thinking, disciplinary application, and the evaluation of AI-generated content. This experience underscores the potential for rethinking assessment in an AI-driven world and I’m excited to share both the successes and lessons learned at the AI in Education Conference in Brisbane this week.

We are excited to be supporting a pilot series of one-hour online training sessions exploring foundational AI topics. These talks will cover historical developments, current issues, and emerging concerns surrounding generative AI (GenAI) in education. ✨ Join us for our primer event! ✨ 📅 Date: Thursday, 11th July 🕓 Time: 16:00 BST 📍 Location: Online This event is designed to introduce foundational concepts of GenAI and explore their impact on educational processes. This one-hour online event will cover key themes, including understanding GenAI, its limitations, and case studies of AI in education. 💡2 x 3 Minute Introductions by Experts and Entrepreneurs in AI Education. 🎓 Speaker: Dr. Firat Batmaz, the AI in Education Group Leader from the Department of Computer Science at Loughborough University, will deliver an informative and comprehensive presentation on Generative AI in Education. This session builds on the Assurance of AI in Education event held at Loughborough University earlier this year. 💬 Interactive Q&A: The presentation will be followed by an interactive Q&A, providing an opportunity for participants to learn more about GenAI in education and grow their knowledge in this fast-moving area of AI literacy and skills. 🔖 Event Details: - Free of Charge - Limited to 18 Participants 🎟️ Secure your place to gain valuable insights into the role of AI in education from a leading academic in the field. #artificialintelligence #education

There's a lot of hype about the future of AI, and I enjoyed this article acknowledging how it is already transforming higher education. From improving student outcomes to enhancing faculty efficiency, AI is quietly revolutionizing universities. A few examples: 1️⃣ Predictive analytics, which can identify struggling students early on. 2️⃣ Tools like Grammarly and AI-driven tutoring platforms are making education more personalized and accessible. 3️⃣ Tools that can analyze student data to identify "poison pair" classes to aid faculty advisors in course scheduling. AI is here; those ready to adopt it will enhance learning and stay competitive. How is your institution preparing to leverage these powerful tools for its mission? #HigherEd #AIInEducation #Leadership #Innovation #WittKieffer #FutureReady

A great, 30-minute presentation by Alexander Mikroyannidis on the latest research initiatives on the use of #GenAI for teaching and learning. In particular, Alexander shared results from ongoing work within The Open University, aiming to investigate the use of Generative AI for improving the production of learning materials and for providing students with personal digital assistants. Additionally, Alexander presented the new UKRI funded project SAGE-RAI, which aims to responsibly deploy Generative AI for smart assessment and guided education. #digitalassistants #Teaching #learning #contentproduction #assessments #education https://lnkd.in/ePZgJrTV covering: an AI module writing assistant, used as a quick text generator, personalised learning journey, interactive activity creator, #accessibility check on content. Also looking into an AI digital assistant for students, including different assistant roles (e.g. Socratic opponent, co-designer, motivator, study buddy, ...). After that zooming in an Sage Rai (https://lnkd.in/esRpw2GU) a project on Smart Assessment and Guided Education with Responsible AI Can responsible Generative AI (GenAI) lead to improved student outcomes? In SAGE-RAI, we utilise partner-applied education-oriented GenAI tools to explore this. Inspired by Bloom's 1984 study on 1-to-1 teaching's efficacy and the potential for cost-effective, scalable personalised education, we aim to unlock this potential. Addressing tutor limitations in accommodating large cohorts, we investigate how responsible GenAI can enhance tutoring, offer tailored more personalised learning experiences and generate student feedback. Our goal is to create a platform supporting assessment and student guidance while responsibly applying GenAI, addressing challenges of misinformation, copyright, and bias. The journey embodies educational innovation for better outcomes.

Last week’s ACE Summit on AI and Competencies in Education, hosted by BE Beyond Education and the Center for Curriculum Redesign at the Learning Planet Institute in Paris, was an intense and thought-provoking event. In all the noise about AI in education these days, one of the things that has troubled me is the way in which so much of what we see is about how to adopt AI tools in the classroom with less of a focus on the larger implications of this watershed period we are experiencing. The speakers of the ACE summit more than filled that gap. Some key reflections: ·        “Ontological shock” as we seek to discern what it means to be human ·        Urgency – we must find a way to change our systems of education and our curricula ·        Linear vs. exponential phenomena ·        Ethical implications of AI ·        The need to problematize and address systems of power ·        AI considered through the lens of evolutionary biology ·        Ways of knowing, thinking and being Thank you to Michaela Horvathova, Charles Fadel, François Taddei and Olli-Pekka Heinonen International Baccalaureate (IB) for providing such rich food for thought and action.  

Today's Webinar: Battling AI bias in the classroom 25 July 16:00-17:00 CET Artificial intelligence is being heralded by many for its transformative potential in education, offering personalised learning experiences and more efficient school administration. But as AI use becomes more widespread, so do concerns about bias. Bias in AI algorithms can perpetuate inequalities, affecting student outcomes and reinforcing societal prejudices. Addressing this AI bias requires a nuanced approach, including ethical guidelines, diverse datasets and rigorous testing. In this webinar, we will discuss some of the ways that education systems can safeguard against the unintended consequences of AI and promote equitable educational practices. Speakers include: -Tiera Tanksley, Post Doctoral Fellow in Youth, Technology and Public Policy, UCLA -Jeremy Roschelle, Executive Director of Learning Sciences Research at Digital Promise -Eleanor Drage, Senior Research Fellow at the University of Cambridge Leverhulme Centre for the Future of Intelligence -Stéphan Vincent-Lancrin, Senior Analyst and Deputy Head of Division at the OECD Directorate for Education and Skills Moderated by Sasha Ramirez-Hughes, Communication Manager, Directorate for Education and Skills, OECD https://lnkd.in/g-5Sh87F