Synchronous Presentation [May 20th, @6:30pm PST][With Yuri Tricys]

Hello All,

AI is THE hot topic right now! I’ve found a few insights you may find interesting in your journey as an educator!

Please fee free to join me for my presentation:

Topic: Exploring AI for Educators
Time: May 27, 2025 06:15 PM Pacific Time (US and Canada)

Also, below is a collection of articles (click on the images) I prepared for you on the topic of AI and teaching (with the assistance of AI and Hugo).

In today’s diverse classrooms, meeting the individual needs of each student remains one of education’s greatest challenges. AI-powered adaptive learning systems offer promising solutions by creating personalized educational experiences that evolve with each learner’s progress.

What Makes Adaptive Learning Powerful

Adaptive learning platforms use artificial intelligence to analyze student performance data, identify knowledge gaps, and customize learning pathways in real-time. These systems continuously adjust content difficulty, pacing, and instructional methods based on individual student responses and progress.

In today’s rapidly evolving educational landscape, artificial intelligence (AI) tools are becoming indispensable for teachers. These technologies don’t aim to replace educators but rather to enhance their capabilities and free up valuable time for meaningful student interactions.

The Promise of AI in Education

“Using AIEd, teachers will be able to offer learners educational experiences that are more personalised, flexible, inclusive and engaging” (Luckin & Holmes, 2016). This powerful observation from researchers highlights how AI can transform traditional teaching approaches.

Ethics and AI in Teaching: Navigating the Complexities

In today’s rapidly evolving educational landscape, artificial intelligence tools present both opportunities and significant ethical challenges for educators. As these technologies become increasingly integrated into classrooms, teachers must thoughtfully consider their implications.

Confirmation bias, for example, is a significant challenge. When students use AI tools, they often phrase queries in ways that lead to responses confirming their preexisting beliefs. As noted by Atos researchers, “This isn’t a flaw of the GenAI itself but a result of how we interact with it… steer[ing] the conversation to echo our existing beliefs and overlook counterarguments” (Atos, 2024). This cognitive bias can limit critical thinking rather than enhance it.

In an era where artificial intelligence increasingly shapes our world, developing AI literacy has become essential for both students and teachers. AI literacy is more than understanding how AI works-it’s about cultivating the ability to critically evaluate, effectively use, and ethically navigate AI technologies in educational contexts and beyond.

Understanding AI Literacy

AI literacy can be defined as “the knowledge and skills that enable humans to critically understand, evaluate, and use AI systems and tools to safely and ethically participate in an increasingly digital world” (Digital Promise, 2024). This multifaceted concept encompasses technical understanding, critical evaluation, practical application, and ethical considerations.

In today’s diverse classrooms, meeting the individual needs of every student presents a significant challenge. Artificial Intelligence (AI) offers promising solutions through personalized learning approaches that adapt to each student’s unique needs, preferences, and learning pace.

“The integration of Artificial Intelligence (AI) in education has ushered in a transformative era, redefining traditional teaching and learning methods” (GSC Advanced Research and Reviews, 2024). This revolution allows teachers to move beyond the traditional one-size-fits-all approach toward truly individualized instruction.

In our increasingly complex educational landscape, Intelligent Tutoring Systems (ITS) offer promising tools for developing critical thinking skills in students. These computerized learning environments incorporate models from cognitive sciences, learning sciences, artificial intelligence, and other fields to create personalized learning experiences (Graesser et al., 2011).

Critical thinking, defined as “the intellectually disciplined process of actively and skillfully conceptualizing, applying, analyzing, synthesizing, and/or evaluating information gathered from, or generated by, observation, experience, reflection, reasoning, or communication, as a guide to belief and action” (Scriven & Paul, 2003), represents a crucial skill for today’s learners. ITS can help develop these skills through adaptive interaction.

In today’s rapidly evolving educational landscape, artificial intelligence (AI) is transforming how we approach student assessment, offering both exciting opportunities and important challenges for educators.

The Changing Face of Assessment

AI technologies are revolutionizing educational assessment practices, moving beyond traditional methods to create more personalized and effective evaluation processes. As UNESCO notes, “Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and accelerate progress towards SDG 4” (Unesco, n.d.). This transformation isn’t merely about replacing pen-and-paper with technology, but rather represents a fundamental shift in our approach to assessment.

In today’s rapidly evolving educational landscape, artificial intelligence (AI) is no longer just a futuristic concept but a present reality that teachers must navigate. Effective professional development for AI integration has become essential for educators who want to stay current and leverage these powerful tools.

Research shows that while AI education is often prioritized in national strategies, it remains underdeveloped in teacher training programs (European Schoolnet, 2024). The gap between policy and practice creates challenges for educators seeking to meaningfully incorporate AI into their classrooms. According to a study applying the TPACK (Technological Pedagogical Content Knowledge) framework to AI learning, “much of the current discussion of artificial intelligence, including its use in educational settings, has been built on a fundamental misunderstanding of these technologies” (Arizona State University, 2023). This highlights the need for structured, comprehensive AI literacy programs for teachers.

Browse this FAQ page to find answers to frequently asked questions that have not been covered elsewhere in the documentation.