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Episode 44

Educators and AI: Enthusiasm or Skepticism?

Brief description of the episode

In this episode, Sean Strathy and  Liz Lee, the Director of Online Learning at ISTE, discuss the integration of AI in classrooms. They explore the pandemic’s influence on edtech, emphasizing the transition from reactive measures to inventive teaching techniques, and addressing educators’ apprehensions regarding AI. Liz advocates for a cautious yet forward-thinking strategy in using AI’s educational potential, highlighting ethical considerations and the importance of a gradual integration process.

Key Takeaways:

  • Educators acknowledge that AI has been in existence for a while, but over the past year, there’s a realization that it’s not just a futuristic concept but something tangible and present in their teaching environment.
  • There’s concern about students potentially using AI for cheating, leading to a cautious approach to its adoption among teachers and school leaders.
  • Despite concerns, there’s a growing acknowledgment that educators need to equip themselves and their students with the knowledge and skills necessary to leverage AI for educational purposes.
  • Educators are keenly interested in learning more about AI’s applications in education to integrate it into their teaching methods effectively.
  • Educators are trying to strike a balance between cautious apprehension and utilizing AI’s potential for enhancing educational experiences without compromising academic integrity.
  • Teachers and institutions should be cautious and critical when adopting AI tools, considering their potential pros and cons.
  • AI’s use of large data sets raises privacy concerns. Educators should ensure responsible data handling to protect students’ sensitive information.
  • Educators should teach students that AI tools, even though created by humans, can inherit biases from the data they use. It’s crucial to be aware of and minimize these biases.
  • Educators must teach students to critically assess information authenticity, especially with the rise of hyper-realistic deep fakes and manipulated content.
  • Institutions should analyze who benefits and who might be harmed by AI tools, considering the various stakeholders involved.
  • Begin with small steps rather than completely transforming lesson design or classroom practices. Educators should try experimenting in low-risk ways to get familiar with AI tools.
  • Understand that AI isn’t here to replace educators but to augment their roles, allowing them to focus on more meaningful and valuable aspects of teaching.
  • Define personal goals as an educator concerning the desired learning environment in the classroom. Aim for student-centered learning, individualized attention, and innovative ways for students to acquire and show knowledge.
  • Prioritize educational goals over technology integration. Instead of adopting AI tools just for the sake of utilizing the latest technology, focus on tools that align with educational needs and goals.
  • Choose tools that complement educators’ expertise and teaching style. They should look for AI applications that enhance their capabilities as an educator, aiding in achieving educational objectives effectively.
  • AI could enhance learning sciences by uncovering new insights into how students learn, potentially changing educational approaches beyond traditional cognitive psychology methods.
  • AI tools could gather extensive data on learning patterns, aiding in the development of better learning tools and training methodologies.
  • There’s a need for AI-powered assessments beyond standardized tests. AI could facilitate the creation of more authentic assessments aligned with real-world skills.
  • Developing AI-driven assessment tools that reflect real-world challenges could help evaluate students’ abilities more accurately.
  • Using AI for scalable assessment processes could streamline and enhance the evaluation of student learning.

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