Topics at the intersection of Artificial Intelligence (AI) and Education.
The Enhance Button: Better Prompting to Educational AI
Eduaide's workflow, based on Transactional Alignment, empowers teachers to create customized lessons by breaking down tasks into manageable components, aligning them with evidence-based practices, and using tools like the Enhance button to ensure instructional quality.
2024-03-20On Student Facing AI, Eduaide.Ai's Approach, and Transactional Alignment
An overview of Eduaide's approach to AI in Education and some thoughts on student facing AI.
2023-10-30Transform Your Existing Resources with Eduaide.Ai
Add blank cards to the workspaces to import and remix your existing work.
2023-10-02Getting Started with Eduaide.Ai
An overview of the following topics including "How exactly does Eduaide.Ai work?", "How do I know if the content created on Eduaide is correct, aligned with standards, or reflects best practices?" and more about Eduaides data privacy policies.
2023-09-23Eduaide.Ai Update: September 2023
Discussion around Eduaide.Ai Version II which introduces significant improvements to the workspace, chat, and saved content. Learn more how these changes aim to enhance user experience and streamline the creation of instructional resources.
Concept and Object: Prompt and Output
In engineering effective prompt structures for Large Language Models (LLMs), it is important for the prompter to see the use of a word as it really is instead of inventing the use for the word.
Ai and Education: Universal Fields
This blog post discusses the universality of education and artificial intelligence (AI) as fields. It explores how people can enter education for various reasons, such as a passion for their subject or a desire to contribute to society. Reflections include the challenge of designing a system that combines both education and AI, drawing inspiration from the idea of bringing potential to fruition in design, as described by Kenya Hara in "Designing Japan."
Generative Ai and Education: A Tool-Based Approach (Part I)
This post considers the increasing use of AI systems, particularly Large Language Models (LLMs), in education. The post raises questions about whether AI feedback enhances learning or becomes a crutch. It emphasizes the importance of understanding AI's capabilities and limitations to develop effective policies in education.
Talking With Instructional Coaches About AI
Some reflections from my appearence on the Coaching Collaborative Podcast. In the episode we discussed the uncomfortable nature of the unknown, how to align Large Language Models (LLMs) with instructional methods, and the different ways we might conceptualize and approach machine/human collaboration at the intersection of generative AI and education.