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Pre-Conference Workshop 1:
AI for Teaching
16 September 2025 | 11am-1230pm PST [ONLINE]
AI for Teaching
Join us at GLOTECH for an immersive AI for Teaching Workshop designed to equip educators and academic professionals with the latest insights and practical skills in leveraging Artificial Intelligence (AI) for educational enhancement. This workshop delves into the transformative potential of AI technologies, offering a comprehensive exploration of how AI is reshaping teaching methodologies and learning outcomes in both traditional and online educational environments.
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Participants will gain a foundational understanding of AI and its diverse applications in education, from personalized learning pathways to data-driven decision making. Through interactive sessions and hands-on activities, attendees will explore AI tools and technologies tailored specifically for educational settings. They will learn to implement AI-powered solutions that enhance student engagement through interactive learning modules and adaptive teaching strategies.
The workshop will highlight real-world case studies and best practices where AI has successfully optimized educational experiences, providing participants with practical insights into integrating AI into their own teaching practices. Discussions will also cover ethical considerations in AI adoption, ensuring participants are equipped with knowledge of data privacy, algorithmic transparency, and fairness in AI-driven educational practices.
By the end of the workshop, attendees will be prepared to apply AI technologies effectively in their classrooms, creating dynamic and adaptive learning environments that cater to individual student needs. They will leave with actionable strategies to navigate challenges and maximize the benefits of AI in education, positioning themselves at the forefront of innovative teaching methodologies.
Presenters
Takeaways
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Introduction to AI in Education: Participants will gain a foundational understanding of Artificial Intelligence (AI) and its application within educational contexts, exploring how AI is transforming traditional teaching methods and enriching learning experiences.
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AI Tools and Technologies: Through hands-on experience, participants will familiarize themselves with AI tools and technologies tailored for educational settings, enabling them to implement personalized learning strategies and adaptive teaching approaches
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Enhanced Student Engagement: Attendees will discover methods to enhance student engagement using AI-driven interactive modules and real-time feedback mechanisms, supported by case studies demonstrating effective AI integration in both physical and online classrooms.
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Personalized Learning Pathways: Participants will learn strategies to customize educational content and assessments based on individual student needs, utilizing AI-powered adaptive learning systems that adjust content delivery and pacing in response to student progress.
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Data-Driven Decision Making: Through exploration of data analytics in education, attendees will harness AI capabilities to make informed decisions, leveraging predictive analytics to anticipate student performance trends and identify opportunities for intervention.
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Ethical Considerations in AI: Discussions will cover ethical implications related to AI adoption in education, emphasizing principles of data privacy, transparency, and fairness to ensure responsible AI implementation within educational practices.
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Future Trends and Innovations: Participants will explore emerging trends and future directions in AI-driven education, examining the evolving role of AI in shaping innovative teaching methodologies and educational outcomes globally.
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Implementation Strategies: By the end of the workshop, attendees will develop actionable strategies for effectively integrating AI tools and technologies into existing educational frameworks, addressing common challenges and fostering a culture of AI literacy and innovation in education.
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Networking and Collaboration Opportunities: Through networking sessions, participants will engage with peers and industry experts, fostering collaborations and sharing insights on AI-driven educational advancements and best practices.
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Practical Applications and Case Studies: Attendees will analyze practical case studies of successful AI implementations across various educational contexts, gaining practical insights and actionable lessons from pioneering AI adopters in educational technology.