Welcome to the Eduaide.Ai Blog

An overview of Eduaide's approach to AI in Education and some thoughts on student facing AI. Tags: #PublicTrust #TransactionalAlignment #Modularity #Granularity #Governance #Hallucinations #StudentFacingAi

Add blank cards to the workspaces to import and remix your existing work.

1. How exactly does Eduaide.Ai work? 2. How do I know if the content created on Eduaide is correct, aligned with standards, or reflects best practices? 3. Eduaide.Ai and Data Privacy: FERPA and COPPA-compliant

Eduaide.Ai Version II introduces significant improvements to its workspace, chat, and saved content. The update includes true modularity with collapsible cards for organized content generation, automatic saving of generative text, and suggested resource pairs. It also offers granular control through account preferences for language and subject, workspace-integrated chat for flexible collaboration, and an updated standalone chat with a history feature. Additionally, the saved content section gets functional enhancements such as search, classification, aesthetic updates, and folder organization options. These changes aim to enhance user experience and streamline the creation of instructional resources. For more details, visit the interactive walkthrough on the landing page or stay tuned for further updates to the roadmap.

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.

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. Similarly, AI can be applied to a wide range of intellectual endeavors. The post reflects on 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."

This post considers the increasing use of AI systems, particularly Large Language Models (LLMs), in education. It highlights how AI is already being used to provide real-time feedback on writing, such as Grammarly suggesting improvements. 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. We explore some of the collaborative opportunities between LLMs and teachers, where educators can shape and personalize generative resources for their classrooms.

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.

Eduaide.Ai is not just a ChatGPT wrapper; it is a versatile platform designed to be model-agnostic, allowing for easy switching of language models as needed. It offers a clean user interface for teachers to access the power of large language models and generative AI for instructional design. Eduaide.Ai is free with a limit of 300 content generations per month, making high-quality instructional materials accessible. It supports 17 languages and automatically saves generated content in modular "cards." The content generator is organized into six categories, and Eduaide.Ai is FERPA and COPPA compliant, ensuring privacy and security for users.