New technologies often find their way into the classroom. From printed textbooks and blackboards to television and computers, and now virtual reality, robotics, and AI, educators adopt the technologies of their time to support teaching and learning. This does not mean that newer technologies are inherently better or that all tech adoptions are broadly successful (remember MOOCs and synchronous virtual instruction?). Instead, every tool has unique capabilities and limitations, but how a new tool fits within your school's context and instructional needs is not always readily apparent. For instance, the needs of a 1st-grade teacher are not the same as those of a 10th-grade Biology teacher. As educators and school leaders, we want to choose effective tools, but in so doing, we often face constraints of time, budgets, attention, and support.
To make well-informed EdTech decisions, educators need objective comparisons of their options grounded in classroom experience, evidence-based practice, and transparent evaluation criteria that they can share and adapt for independent verification. However, to be clear, product comparisons only go so far, and the need for rigorous evaluation of a technology's effects on teaching and learning outcomes cannot be overstated. A technology that purports to support teaching and learning does so atop a bundle of propositions and assumptions that become the basis for action in the classroom. Educational technologies and the ideas they amplify, therefore, warrant rigorous evaluation.
These concerns are especially acute when considering the role of Generative AI in education—a technology in which the jargon and modes of practice are already finding their way into many school's daily work. There are already many popular tools built atop generative AI models, and they all have features and use cases that may help teachers in various circumstances. To name but a few for illustration:
Thus, in-depth product comparisons can be helpful in a field with such robust offerings. The following article, however, will compare only two tools from our list: Magic School AI and Eduaide.Ai. These are in no way the only two viable options, but they will be the focus of this specific article for precision and clarity. In future posts, we'll compare other solutions. The comparison will evaluate each platform's core features, functionality, user experience, and cost. Such a comparison is only a cursory glance at each platform's capabilities and limitations. It is in no way a substitute for testing the applications yourself and making decisions based on your unique needs. In other words, the usefulness of AI tools like those listed will be found in the practical difference they make in the lives of students, teachers, and administrators.
Disclosure: This comparison is written by the Eduaide team. While we strive for objectivity, readers should independently evaluate all options. We hope this article may serve as a resource in your decision-making since it suggests both Magic School and Eduaide for different use cases and explores their limitations. However, beyond a mere comparison, we cannot stress enough the need for more thorough and rigorous testing of AI tools to ensure they are fit for purpose in the classroom and align with evidence-based instructional practices.
As you can see, there are various contexts in which Large Language Models may assist the work of the teacher or provide additional personalized guidance for student learning (Wang et al., 2024).
MagicSchool is an AI-powered education platform explicitly designed for teachers to streamline their workload and enhance students' classroom learning experiences. By helping teachers with various tasks, from lesson planning and differentiation to assessments, workplace communications, and student-facing AI literacy, MagicSchool can automate workflows and purports to save teachers up to 10+ hours a week (MagicSchool.Ai, 2024).
Pre-K through Post-Secondary Teachers and Students
Web Application & Chrome Extension
MagicSchool uses Adobe Express for image generation. For the other tools on the site, the company states, "[t]he platform can be powered by various models such as OpenAI’s GPT 3.5 and GPT 4, Anthropic’s Claude models, Google’s Gemini, and others (and is currently powered by multiple models)" (MagicSchool.Ai FAQ, 2024).
Teachers have access to various tools to design comprehensive lesson plans, create differentiated instruction strategies, and integrate standards-aligned content. We suggest checking out the site to learn about the full range of planning resources (you can check out their complete list here), but we'll highlight a few that we feel Magic School does quite well.
Math Spiral Review: Generate review questions for math standards or topics. In the image below, you’ll see one of our tests of the platform’s math capabilities with the following standard:
Common Core State Standard Math HSF.IF.B.4 For a function that models a relationship between two quantities, interpret key features of graphs and tables in terms of the quantities, and sketch graphs showing key features given a verbal description of the relationship.
Generate assessment questions aligned with curriculum standards. These tools help create various question types, from multiple-choice to open-ended questions, supporting diverse assessment strategies.
Access resources and templates for AI-assisted communication through tools like "e-mail family," "class newsletter," "report card comments," and "teacher observations."
Through the Magic Student interface, teachers can facilitate student use of AI. The platform engages students in teacher-monitored rooms to:
An AI assistant with an instructional coach persona. This tool is fully integrated into most aspects of the MagicSchool workflow. The model is trained on "best practices for educators" and denies non-educational requests. It may be more fit for purpose than ChatGPT or some other foundational model chatbot that lacks fine tuning or retrieval augmentation.
The extension allows teachers to access features like lesson planning, quiz generation, and communication tools with a single click right in their browser, aiming to save time and streamline the workflow for creating classroom materials.
Eduaide.Ai is an application for AI-assisted lesson planning—a workspace that integrates evidence-based instructional design principles with the power of generative AI. Eduaide is teacher-facing and gives educators access to over 100 different teaching resources and learning objects to be freely revised, reused, remixed, and stacked together to create unique sequences of instruction that the teacher can control and customize through a built-in editor and a suite of personalization tools.
Pre-K through Post-Secondary Teachers
Web Application
GPT-4o, GPT 4o mini, and the Claude 3 class of models as redundancy. Additionally, Eduaide uses a technique called Retrieval Augmented Generation (RAG) to provide models with a corpus of instructional research and examples to enhance the relevance and accuracy of generated texts. Another resource to understand Eduaide's approach to AI deployment would be the literature on Large Language Models for prompt optimization (Yang et al., 2023).
A collection of over 75 generative educational resources for teachers to create, reuse, revise, remix, and differentiate. The tools are organized across a taxonomy of instructional acts.
Active Learning and Engagement: Tools like Quest-Based and Interactive Review Games promote active participation, problem-solving, and collaboration.
Scaffolding Higher-order Thinking: Deep Questions, Scenario-Based Questions, and Taxonomy Scaffolding tools help teachers guide students from lower to higher levels of complexity.
Reinforce Knowledge through Varied Retrieval Practice: Gamification tools like Jeopardy Style, Bingo, and various question types (Multiple-choice, fill-in-the-blank, etc.) offer diverse ways for students to recall and apply information.
A comprehensive suite of AI-enhanced resources to support various aspects of their professional duties, accessibility efforts, wellness initiatives, and administrative tasks
Provide students with timely, specific, and actionable feedback using one of Eduaide's stock feedback reports or by importing your rubric.
Chatbot is optimized to draw from a corpus of learning sciences literature on such varied topics as cognitive load theory, early childhood language learning, and multimedia instructional principles to effective learning techniques, classroom management strategies, and subject-specific methods.
Create assessment items tailored to specific outcomes, measures, or standards and export them to the Eduaide workspace for refinement and personalization.
Regarding features and functionality, both products have diverse offerings for teachers in various contexts. At Magic School, all tools are offered to all teachers, while at Eduaide.Ai, there is variation in instructional materials tailored to specific subjects and grade levels. Both platforms enable you to sort and order tools and save your favorite tools to the top of your workspace, with only Magic School offering search capabilities.
Both platforms keep an output history for you to reference your created materials. On Magic School, free users can access their five most recent generations, while Magic School Plus users have unlimited access. Eduaide.Ai provides both free and Pro users unlimited access to their output history.
In comparing Magic School AI and Eduaide.Ai, it's clear that both platforms offer a range of AI-powered tools to support teaching and learning. Both platforms share a common goal—to use generative AI to enhance the teaching and learning experience—their approaches, founding philosophies, and feature sets have notable differences that may make one better suited for specific contexts.
Ultimately, the "best" choice between these platforms will depend on each school or educator's specific needs, existing tech ecosystem, pedagogical philosophy, and budget. This comparison provides only a starting point for considering these tools and is no substitute for hands-on evaluation. Regardless of the platform chosen, the successful implementation of AI in education requires ongoing monitoring, teachers in the loop, rigorous evaluation, refinement, and professional development. As the field rapidly evolves, educators must stay aware of emerging best practices and be willing to iterate on their use of these tools. Sharing experiences and data across school communities will be foundational to building our collective understanding.
Comparative analyses like this can play a valuable role in shaping the development of educational AI tools. While this comparison focused on Magic School AI and Eduaide.Ai for clarity, readers should also explore other notable platforms like Curipod, Diffit, and Brisk Teaching to find the best fit for their needs. By clearly articulating educator requirements and rigorously evaluating the efficacy of different approaches, we can guide the technology to deliver on its transformative potential for learning. With thoughtful implementation guided by empirical evidence and educator insight, AI has the potential to meaningfully support the work of teaching. Still, its practical impact will vary based on the specific tool and context.
Create educational content, offload time-consuming tasks to your AI teaching assistant, and never worry about "writers block" when creating teaching resources again.