Guy Trainin, Lesson Planning: Generative AI Tools for Teachers and Teacher Educators

Webinar Slides

The evolution of artificial intelligence (AI) is leading to potential transformation in teaching methodologies. For educators, professional development in using AI for lesson planning is becoming a powerful collaborative tool. AI-powered tools can sift through vast amounts of data to provide customized lesson plans tailored to individual student needs, considering their learning needs, pace, and areas of interest. These tools can also predict learning outcomes, suggest resources, and even modify lesson plans in real time based on the students’ progress. By harnessing the power of AI, teachers can shift from a one-size-fits-all model to a more personalized and adaptive learning approach.

While the potential of AI in education is vast, its successful integration depends mainly on the proficiency of educators in leveraging these tools while maintaining a critical stance. During this AACTE Lunch and Learn, participants will learn various AI tools, their functionalities, and best practices so they can enhance teaching. Furthermore, we will discuss ethical considerations, such as data privacy and avoiding algorithmic biases, ensuring that the implementation of AI is not only effective but also responsible.

Some key benefits:

• Personalized Learning: AI can analyze individual student data and create customized lesson plans tailored to each student’s learning style, pace, and strengths.
• Efficiency: AI can quickly sift through vast amounts of educational content, finding and organizing the most relevant resources for a specific topic or learning objectives.
• Predictive Analysis: AI can forecast student outcomes and identify potential areas of struggle, allowing teachers to intervene proactively.
• Resource Recommendations: Based on student profiles and class performance, AI can suggest supplemental resources like videos, articles, or interactive tools that best aid learning.
• Data-Driven Decisions: Teachers can receive insights and analytics on student performance, helping them make informed decisions in their teaching strategies.
• Cross-Curricular Integration: AI can identify connections between topics across different subjects, promoting interdisciplinary learning.
• Diverse Learning Modalities: Based on student profiles, AI can prioritize visual, auditory, kinesthetic, or other learning modalities in the lesson-planning process.
• Accessibility and Inclusion: AI can cater to students with special needs, ensuring that lesson plans are accessible and accommodating to everyone.
• Reduced Administrative Burden: By automating certain aspects of the lesson planning process, teachers can spend more time on actual teaching and student interaction.
• Up-to-date Content: AI tools can regularly scan for the most recent educational content and research, ensuring that lesson plans remain current and relevant.

While these advantages are promising, it is crucial to approach the integration of AI with caution, ensuring that technology augments the teacher’s role while maintaining a critical stance and human touch in education.

Speaker:

Guy Trainin, Ph.D.
Professor of Education
University of Nebraska–Lincoln
Trainin is a professor of education at the Department of Teaching, Learning, and Teacher Education at the University of Nebraska–Lincoln. He focuses his research on teacher education, literacy integration with technology and the arts, and innovative schooling. In recent years, Trainin has been studying innovative educational practices and equity in Nebraska, India, and China, focusing on computer science, mobile devices, PBL (project-based learning), and creativity. He blogs at guytrainin@blogpost.com and podcasts at tech-edge on Apple podcasts and TechEdge01 on Youtube. Lately, he has been all about AI in teaching, research, and teacher education.