This episode explores the intersection of generative AI and education, emphasizing the need to combine hands-on experience with theoretical knowledge for impactful learning. Dr. Sharon Mistretta shares her personal journey in STEM, highlighting early influences like supportive parents and inspiring teachers who fostered her curiosity and critical thinking. Against the backdrop of her experiences as a female programmer facing gender bias, she emphasizes the importance of self-efficacy and resilience, particularly for women in technology. More significantly, the conversation pivots to the role of AI in research and education, advocating for its use as a tutor and research assistant to enhance learning rather than replace traditional methods. As the discussion progresses, practical advice is offered on integrating technology in the classroom using frameworks like TPACK and SAMR, alongside tools like TWEE and YouTube Sensei, to create engaging and accessible learning experiences. Emerging industry patterns reflected in the conversation underscore the need for educators to adapt assessments to focus on creativity, critical thinking, and student voice, ensuring that AI augments rather than diminishes the human element in education.
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