Best AI tools for< Teaching >

AI Teaching Assistant Pro is a free, private, and confidential AI-powered tool developed by Contact North | Contact Nord. It serves as a personal teaching and instructional design assistant to help instructors with various tasks related to course creation and assessment. The tool offers enhanced assessment features, including the ability to easily draft multiple-choice tests and exams with AI-powered efficiency. Instructors can also generate ideas for course descriptions, outcomes, and syllabi with just a few clicks. AI Teaching Assistant Pro aims to streamline the teaching process and provide valuable support to educators.

Brisk Teaching is a free AI tool designed for teachers to streamline their workflow and enhance their teaching practices. It offers a wide range of AI-powered features to provide personalized feedback, create engaging presentations and quizzes, analyze student writing, and generate various educational resources. Brisk Teaching aims to save teachers time and effort by automating tasks such as feedback generation, curriculum creation, and assessment. Trusted by over 400,000 educators, Brisk Teaching is actively used in 20,000 school districts worldwide.

MIT Sloan Teaching & Learning Technologies connects MIT Sloan to research-driven best practices, resources, and training in instructional technology and design. They help the community make an impact in the classroom and beyond. They offer various services such as trainings, practice sessions, how-to guides, consultations, and a teaching studio. Their latest news and announcements include supporting learning with AI-generated images, providing students with access to Microsoft Copilot, and making Microsoft Copilot available for faculty and staff.

Aidemia is an ultimate teaching workflow toolkit that simplifies teaching using the power of 30 AI engines. It helps teachers from 48201 schools and institutions replace other AI tools. With Aidemia, teachers can reduce their workload by 90 minutes a day. It offers various features such as lesson plans, creative ideas, workflow automation, advice, quiz creator, restyling, homework, presentations, discussions, essay grading, stories, parent meetings, rewriting, plagiarism check, and more. Aidemia is used by leading teachers and institutions in 74 countries with a 96% teacher satisfaction rate.

EdTechTeacher is an innovative AI tool designed to support educators and schools in integrating artificial intelligence into teaching and learning. The platform offers professional development services, workshops, coaching, and resources to help educators enhance their teaching practices with AI technology. EdTechTeacher also collaborates with edtech businesses and organizations to promote equity and inclusion in education through research, partnerships, and software audits.

Quiz Wizard is an AI-powered tool designed to help users create quizzes, flashcards, and study materials quickly and efficiently. With the power of Artificial Intelligence, Quiz Wizard generates unique questions and answers in seconds on any topic, saving time for educators and enabling personalized learning experiences for students across various subjects. The tool is ideal for teachers, trainers, and educators looking to enhance their teaching methods and engage students with interactive learning materials.

Kangaroos.ai is an AI grading platform designed to revolutionize education for teachers by providing advanced AI tools such as AI Essay Grader, AI Teaching Assistant, AI Lesson Plan Generator, AI Rubric Generator, and more. The platform blends advanced AI technology with customizable grading rubrics to streamline assessments, ensure academic integrity, and prioritize student privacy and data security. Kangaroos.ai aims to empower teachers by automating the grading process and providing detailed feedback for various assignment types.

Teach Catalyst AI is an AI-powered teaching assistant designed to make teachers' work easier and more efficient. It offers a wide range of tools and templates to help teachers with tasks such as creating lesson plans, worksheets, quizzes, and student reports. Teach Catalyst AI also provides insights into teaching practices and helps teachers improve their classroom management skills. With Teach Catalyst AI, teachers can save time, reduce stress, and focus on what matters most: teaching.

Speakable is an AI-powered language teaching assistant that automates the creation of engaging learning activities, provides instant feedback to students, automates assignment grading, and monitors student progress. It allows educators to collaborate, integrate with favorite tools, and ensure privacy. Speakable offers features such as AI activity creation, auto grading, instant feedback, collaboration, and integrations. The platform advantages include time-saving, boosting student engagement, unique activity design, real-time feedback, and proficiency level estimation. However, Speakable has limitations in pricing tiers, limited personal information collection, and the need for data deletion policies.

RockettAI is an online platform designed to empower teachers by providing them with simple tools to harness the power of AI in their classrooms and at home. The platform provides teachers with a comprehensive suite of hand-crafted AI tools designed to support lesson planning, teaching and administrative tasks, freeing up valuable time and enabling them to focus on what they do best: inspiring and educating students.

CoGrader is an AI Essay Grader tool that helps teachers provide quality feedback on essays in 80% less time. It leverages Artificial Intelligence (AI) to streamline the grading process, saving hours or days for teachers. CoGrader ensures fairness and consistency by removing human biases from grading and provides lightning-fast comprehensive feedback to students. The tool integrates with Google Classroom, Canvas, and Schoology, allowing teachers to import assignments, grade them, and export feedback back to the platforms with ease. CoGrader is designed to assist educators in grading essays efficiently and effectively, ultimately enhancing the teaching and learning experience.

Porosheets is an AI tool designed to enhance the learning experience in education. It provides features such as worksheet generation, rubric generation, lesson plan generation, live customer support, and multilingual support. Porosheets aims to support teachers in creating resources, help parents stay updated on their children's academics, and enable students to test themselves effectively. With a user-friendly interface and AI-powered functionalities, Porosheets simplifies educational tasks and promotes a more efficient and engaging learning environment.

Duckietown is a platform for delivering cutting-edge robotics and AI learning experiences. It offers teaching resources to instructors, hands-on activities to learners, an accessible research platform to researchers, and a state-of-the-art ecosystem for professional training. Duckietown's mission is to make robotics and AI education state-of-the-art, hands-on, and accessible to all.

TeacherMatic is the ultimate AI platform designed for educators to reduce workload and elevate teaching and learning. It offers over 70 AI-assisted generators to create high-quality resources for the classroom, including lesson plans, activities, worksheets, and more. The platform was developed with input from over 300 teachers to ensure it meets the needs of educators, making it one of the best AI tools available for teachers.

TopWorksheets is an online platform that allows teachers to create and share interactive worksheets and exercises. It offers a variety of features to help teachers save time and track student progress. Teachers can use TopWorksheets to convert existing worksheets into interactive ones, browse through thousands of worksheets created by other teachers, and even have AI assist them in creating new worksheets. Students can use TopWorksheets to complete assignments, receive auto-graded feedback, and track their own progress.

This website provides a suite of AI-powered writing tools, including an AI writer, text summarizer, story writer, and headline generator. These tools can help you generate high-quality content quickly and easily.

Lingolette is an AI language teaching machine that helps users master a language faster through personalized neural network chat-based tools. It speaks with users like a real teacher, motivates them on their learning journey, adapts to their learning style, and explains concepts clearly. Lingolette aims to enhance users' talking skills, pronunciation, and overall language learning experience.

Teacherbot is an AI-powered platform designed to assist teachers in creating high-quality teaching resources quickly and efficiently. It offers a wide range of tools to help teachers reduce their workload, enhance student learning, and save time on administrative tasks. With cutting-edge AI technology, Teacherbot empowers educators to create diverse resources tailored to their specific needs, covering all subjects and age groups. The platform aims to address the challenges of teacher burnout and stress by providing tools that enable teachers to focus on what truly matters - inspiring and educating the next generation.

Teachify is an AI-powered teaching assistant designed to empower educators by streamlining lesson planning and assignment creation. With over 10,000 engaging activities and 1000+ hours saved, Teachify revolutionizes teaching methods by providing personalized, engaging assignments in less time than ever before. Trusted by over 500 educators worldwide, Teachify enhances the teaching experience by adapting to each student's progress and needs, ultimately fostering a more interactive and engaging classroom environment.

Acryl is an AI-powered tool that helps parents create audiobooks for their children. With Acryl, parents can take photos of any book and have Acryl generate an audiobook from it. Acryl's audiobooks are dynamic and use a unique voice for each character in the book. Acryl also offers a variety of features to help parents manage their children's listening time, such as the ability to set time limits and track how much time their child has spent listening.

AI Agents Masterclass is a repository dedicated to teaching developers how to use AI agents to transform businesses and create powerful software. It provides weekly videos with accompanying code folders, guiding users on setting up Python environments, using environment variables, and installing necessary packages to run the code. The focus is on Large Language Models that can interact with the outside world to perform tasks like drafting emails, booking appointments, and managing tasks, enabling users to create innovative applications with minimal coding effort.

AI-Learning is a free e-book for neural network/deep learning teaching. In the first volume, you will initially learn about neural networks, deeply understand its essence and design principles, and improve it accordingly, ultimately putting it into simple practice. The book supports bilingual practice in JS/C++, equipped with a massive interactive Geogebra mathematical animation demonstration to help you learn neural networks in a simple and profound way. Join us for discussions and suggestions for modifications.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

CipherChat is a novel framework designed to examine the generalizability of safety alignment to non-natural languages, specifically ciphers. The framework utilizes human-unreadable ciphers to potentially bypass safety alignments in natural language models. It involves teaching a language model to comprehend ciphers, converting input into a cipher format, and employing a rule-based decrypter to convert model output back to natural language.

MachinaScript For Robots is a dynamic set of tools and a LLM-JSON-based language designed to empower humans in the creation of their own robots. It facilitates the animation of generative movements, the integration of personality, and the teaching of new skills with a high degree of autonomy. With MachinaScript, users can control a wide range of electronic components, including Arduinos, Raspberry Pis, servo motors, cameras, sensors, and more. The tool enables the creation of intelligent robots accessible to everyone, allowing for complex tasks to be performed with elegance and precision.

The ASReview project implements active learning for systematic reviews, utilizing AI-aided pipelines to assist in finding relevant texts for search tasks. It accelerates the screening of textual data with minimal human input, saving time and increasing output quality. The software offers three modes: Oracle for interactive screening, Exploration for teaching purposes, and Simulation for evaluating active learning models. ASReview LAB is designed to support decision-making in any discipline or industry by improving efficiency and transparency in screening large amounts of textual data.

This repository contains the complete archive of the 2024 version of the 'Intelligent Computing System' experiment at the University of Chinese Academy of Sciences. The experiment content for 2024 has undergone extensive adjustments to the knowledge system and experimental topics, including the transition from TensorFlow to PyTorch, significant modifications to previous code, and the addition of experiments with large models. The project is continuously updated in line with the course progress, currently up to the seventh experiment. Updates include the addition of experiments like YOLOv5 in Experiment 5-3, updates to theoretical teaching materials, and fixes for bugs in Experiment 6 code. The repository also includes experiment manuals, questions, and answers for various experiments, with some data sets hosted on Baidu Cloud due to size limitations on GitHub.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

Mastering GitHub Copilot for AI Paired Programming is a comprehensive course designed to equip you with the skills and knowledge necessary to harness the power of GitHub Copilot, an AI-driven coding assistant. Through a series of engaging lessons, you will learn how to seamlessly integrate GitHub Copilot into your workflow, leveraging its autocompletion, customizable features, and advanced programming techniques. This course is tailored to provide you with a deep understanding of AI-driven algorithms and best practices, enabling you to enhance code quality and accelerate your coding skills. By embracing the transformative power of AI paired programming, you will gain the tools and confidence needed to succeed in today's dynamic software development landscape.

The Conversational Azure OpenAI Accelerator is a tool designed to provide rapid, no-cost custom demos tailored to customer use cases, from internal HR/IT to external contact centers. It focuses on top use cases of GenAI conversation and summarization, plus live backend data integration. The tool automates conversations across voice and text channels, providing a valuable way to save money and improve customer and employee experience. By combining Azure OpenAI + Cognitive Search, users can efficiently deploy a ChatGPT experience using web pages, knowledge base articles, and data sources. The tool enables simultaneous deployment of conversational content to chatbots, IVR, voice assistants, and more in one click, eliminating the need for in-depth IT involvement. It leverages Microsoft's advanced AI technologies, resulting in a conversational experience that can converse in human-like dialogue, respond intelligently, and capture content for omni-channel unified analytics.

INFO8006 Introduction to Artificial Intelligence is a course at ULiège that covers various topics in AI such as intelligent agents, problem-solving, games, probabilistic reasoning, machine learning, neural networks, reinforcement learning, and decision-making. The course includes lectures, exercises, and programming projects using Python. Students can access course materials, previous exams, and archived lectures to enhance their understanding of AI concepts.

The Alignment Handbook provides robust training recipes for continuing pretraining and aligning language models with human and AI preferences. It includes techniques such as continued pretraining, supervised fine-tuning, reward modeling, rejection sampling, and direct preference optimization (DPO). The handbook aims to fill the gap in public resources on training these models, collecting data, and measuring metrics for optimal downstream performance.

This repository is dedicated to summarizing papers related to large language models with the field of law. It includes applications of large language models in legal tasks, legal agents, legal problems of large language models, data resources for large language models in law, law LLMs, and evaluation of large language models in the legal domain.

This repository contains advanced LLM-based chatbots for Retrieval Augmented Generation (RAG) and Q&A with different databases. It provides guides on using AzureOpenAI and OpenAI API for each project. The projects include Q&A and RAG with SQL and Tabular Data, and KnowledgeGraph Q&A and RAG with Tabular Data. Key notes emphasize the importance of good column names, read-only database access, and familiarity with query languages. The chatbots allow users to interact with SQL databases, CSV, XLSX files, and graph databases using natural language.

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

The AI Workshop repository provides a comprehensive guide to utilizing OpenAI's APIs, including Chat Completion, Embedding, and Assistant APIs. It offers hands-on demonstrations and code examples to help users understand the capabilities of these APIs. The workshop covers topics such as creating interactive chatbots, performing semantic search using text embeddings, and building custom assistants with specific data and context. Users can enhance their understanding of AI applications in education, research, and other domains through practical examples and usage notes.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

Stable Diffusion is a text-to-image AI model that can generate realistic images from a given text prompt. It is a powerful tool that can be used for a variety of creative and practical applications, such as generating concept art, creating illustrations, and designing products. Stable Diffusion is also a great tool for learning about AI and machine learning. This repository contains a collection of tutorials and resources on how to use Stable Diffusion.

nlux is an open-source Javascript and React JS library that makes it super simple to integrate powerful large language models (LLMs) like ChatGPT into your web app or website. With just a few lines of code, you can add conversational AI capabilities and interact with your favourite LLM.

Ocademy is an AI learning community dedicated to Python, Data Science, Machine Learning, Deep Learning, and MLOps. They promote equal opportunities for everyone to access AI through open-source educational resources. The repository contains curated AI courses, tutorials, books, tools, and resources for learning and creating Generative AI. It also offers an interactive book to help adults transition into AI. Contributors are welcome to join and contribute to the community by following guidelines. The project follows a code of conduct to ensure inclusivity and welcomes contributions from those passionate about Data Science and AI.

I am here to guide you in developing effective teaching strategies. What are your teaching goals?

Assists teachers with lesson plans, rubrics, unit plans, and essay feedback.

I'll analyse the difficulty of your English text, generate readings and quizzes, adapt texts in any level, and more!

Responds in Japanese with illustrative elements

Teaching and guiding users in blackjack

Teaching English idioms with interactive questions 用互动问题教英文成语

Expert on teaching, learning, and instructional tech.

Teaching and applying Bezos' insights through his letters to shareholders at Amazon

A teaching assistant for Edexcel GCSE Computer Science 1CP2

Understanding Sri Ramana's teachings and Self Enquiry.

Master Class - Teaching and creating code examples.

Assistant focused on teaching concepts, evaluating comprehension, and recommending subsequent topics. USE WITH VOICE.

Dedicated to teaching every spanish speaker how to code! Stop by and say hola!

Expert in teaching, tools, coding, and real-time web analysis for UX-UI projects

Expert at simplifying and teaching DSA

Specializes in teaching and analyzing the Rust programming language.

Expert in Emirati dialect teaching and translation

Master Class - Teaching and creating code examples.

A versatile, multilingual teaching assistant.

Expert in teaching Pydantic with clear, accessible explanations.