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AI-Powered Pedagogy

Live Synchronous & Asynchronous Online

Modeling Connection, Clarification, Collaboration, and Critical & Conceptual Thinking

What Users Have to Say:

In an era of many people claiming expertise in remote learning, Jennie Wathall’s genuine experience and expertise shines through. Her course reflects a commitment to core principles of quality teaching and learning including the need for interaction, the importance of feedback and the provision of choice and flexibility. Participants not only gain an understanding of the content but, through experiencing her deft design, ways to manage learning in what for many of us, is a new context. I highly recommend this course.

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Kath Murdoch, Independent Consultant

The Evolving Nature of Professional Development

Professional development is undergoing an evolution to match the rapid evolution of teaching and learning for the online environment. The elearning ecology provides us with many affordances when curriculum and instruction design is focused on well-researched principles and best practices. 

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It is so important we consider specific frameworks that focus on effective pedagogical principles for elearning when we create, plan and design learning for our students in the virtual environment. A truly effective blended learning environment will include Connection, Clarification, Collaboration and Critical & Conceptual Thinking.

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I partner with schools to embark on a journey to transform learning and transform pedagogy for the online environment. Let's make learning meaningful, engaging and motivating for our students.

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All professional development opportunities are highly interactive, collaborative and social constructivist and adopt a blended approach where we meet face to face synchronously and asynchronously.  

Between two to four X 120 minutes

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Module 1: Understanding AI in Education
This module introduces educators to the fundamentals of AI and its potential impact on education. Participants will explore the Five AI Principles:

  1. Human Oversight

  2. Data Protection

  3. Ethical Use

  4. User Empowerment

  5. Pedagogical Transformation

The session will discuss how these principles apply in educational contexts, ensuring that AI integration maintains human-centered approaches, protects user data, adheres to ethical standards, empowers users, and transforms pedagogical practices. Participants will also explore common AI tools used in education and discuss the importance of developing an Evolving Unified AI Policy (EUAIP) at the institutional level, aligning with these core principles.

 

Module 2: AI-Powered Pedagogy Framework
This module delves into the integration of AI with pedagogical principles. Participants will examine the Six Pedagogical Principles:

  1. Inquiry-based Learning

  2. Evidence-based Learning

  3. Learner-centered and Learner-driven

  4. Concept-based Learning

  5. Inclusive

  6. Equitable

The session will explore how these principles form the foundation of effective teaching and learning. Participants will then investigate how AI can be integrated to enhance and support these pedagogical approaches. The module will introduce the AI-Powered Pedagogy framework, demonstrating how AI can facilitate a pedagogical paradigm shift while maintaining a focus on these core principles, particularly emphasizing inquiry, evidence-based practices, learner agency, conceptual understanding, inclusivity, and equity in education. 

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Module 3: Effective Prompt Development for Education

This module focuses on developing skills for crafting effective AI prompts in educational contexts. Participants will learn and apply the I.D.E.A.S. framework (Inquire, Design, Engage, Analyze, Synthesize) for prompt development. Through hands-on activities, educators will practice creating, refining, and evaluating prompts for various educational scenarios. The emphasis will be on aligning AI interactions with learning objectives and the six pedagogical principles discussed in Module 2. Participants will explore how thoughtful prompt development can enhance inquiry-based learning, provide evidence for learning, support learner-centered approaches, reinforce concept-based learning, and promote inclusivity and equity in AI-assisted education.​

AI-Powered Pedagogy Modules

Enhancing Educator Workflow with AI


This module explores practical applications of AI to streamline educators' workflows and enhance creativity. Participants will learn strategies for using AI tools in lesson planning, assessment creation, providing personalized feedback, and managing administrative tasks. The session will also cover the SAMR model (Substitution, Augmentation, Modification, Redefinition) as a framework for integrating AI into existing educational practices, with a focus on time-saving techniques and fostering innovation in teaching.

AI-Powered Pedagogy

Ethical Considerations and Responsible AI Use in Education


This module explores the critical aspects of ethical AI implementation in educational settings. Participants will delve into AI ethics in the context of teaching and learning, with a focus on student privacy, data protection, and security.

 

Key topics include addressing bias, ensuring equity, fostering digital citizenship, and balancing AI integration with human interaction. Through case studies and group discussions, educators will analyze real-world ethical dilemmas and develop guidelines for responsible AI use that align with institutional values and educational goals. This module aims to equip educators with the knowledge and tools to navigate the ethical landscape of AI in education, ensuring that AI integration supports responsible and equitable teaching practices.

More Effective eLearning Practice Modules

Asynchronous Two Week Online Course

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