Best AI tools for< Provide Feedback On Student Work >

Graded Pro is an advanced AI grading tool designed for teachers and educators worldwide. It offers automated assessment and grading of various academic works, including handwritten submissions, art, coding assignments, essays, and diagrams. The platform supports a wide range of educational standards and curriculums, providing detailed feedback to students based on customizable rubrics. Graded Pro prioritizes security and privacy, complying with GDPR and FERPA regulations to safeguard student data. With features like effortless grading, support for all subjects and file types, and integration with Google Classroom, Graded Pro streamlines the grading process and enhances the teaching experience.

Turnitin is an AI writing detection tool designed to empower students to produce original work while upholding academic integrity. It helps educators detect AI-generated content in student submissions, provides actionable feedback, and ensures the authenticity of academic work. Turnitin offers a range of solutions for different education levels and research needs, with a focus on promoting honesty, consistency, and fairness in the global education community.

A-Levels.ai is an online learning platform that provides students with personalized learning experiences. The platform uses artificial intelligence to track student progress and identify areas where they need additional support. A-Levels.ai also provides students with access to a library of resources, including video lessons, practice questions, and past papers.

Smodin is a multi-lingual writing assistance tool that provides a range of features to help users with their research and content creation needs. It offers AI-powered research tools, automatic reference generation, plagiarism detection, and instant feedback on writing. Smodin also includes a chat feature that allows users to ask questions and get answers on any subject. The tool is designed to help users write high-quality, structured text quickly and easily.

Sort My Thoughts is an AI-powered productivity tool that helps users organize their thoughts, prioritize tasks, and optimize their workflow. With features like AI-powered notes, rich syntax, seamless integration, effortless organization, and smart notifications, Sort My Thoughts aims to make users more productive and efficient. The tool's AI assistant provides personalized suggestions, daily summaries, and automated feedback, helping users stay on top of their tasks and achieve their goals.

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.

Class Companion is an AI teaching assistant tool designed to provide instant coaching and AI feedback to students on their assignments. It helps improve student engagement and outcomes by offering multiple attempts, targeted help, and personalized feedback. The tool supports various subjects and grades, allowing teachers to save time on manual feedback and focus on lesson planning and individual instruction. With features like AI-generated content, in-depth reporting, and customizable rubrics, Class Companion aims to enhance student learning and comprehension.

Essay Grader AI is an AI-powered essay grading tool designed to help teachers streamline their grading process. It allows teachers to upload student submissions, apply customized rubrics, and receive instant, accurate grades and detailed feedback. The tool supports multiple languages and subjects, ensuring fair and consistent grading while saving teachers time and providing actionable insights to improve student writing proficiency.

myEssai is an AI-powered essay tutor designed to assist users in improving their writing skills. The application utilizes artificial intelligence to provide personalized feedback on essays, helping users enhance their writing style, grammar, and overall quality. With myEssai, users can receive instant suggestions for improvement, learn from detailed analysis of their writing, and track their progress over time. Whether you are a student looking to enhance your academic writing or a professional seeking to improve your communication skills, myEssai offers a user-friendly platform to support your writing goals.

Studyable is an AI-powered platform designed to assist students with homework help and flashcards. The application leverages artificial intelligence technology to provide personalized learning experiences for users. With Studyable, students can access a wide range of study materials, practice questions, and interactive flashcards to enhance their understanding of various subjects. The platform aims to make studying more efficient and engaging by offering tailored recommendations and adaptive learning features. Studyable is a valuable tool for students seeking academic support and looking to improve their study habits.

Edexia is an AI-powered platform designed to revolutionize the assessment process in education. It offers advanced features such as AI assessment moderation and feedback, aiming to improve all aspects of assessment while saving teachers up to 80% of their time. Edexia focuses on providing better feedback, grading, insights, and efficiency, ultimately transforming the assessment experience for both teachers and students. The platform is trusted by various schools and is committed to positively impacting education by enhancing the teacher-student connection and improving student outcomes.

Sara is an AI-powered platform that serves as a virtual tutor and exam planner. It leverages artificial intelligence to provide personalized learning experiences and help students prepare for exams efficiently. With Sara, users can access study materials, receive customized study plans, track their progress, and get feedback on their performance. The platform aims to enhance learning outcomes by offering adaptive learning solutions tailored to individual needs.

Education Week is a website that provides news and information on K-12 education. It covers a wide range of topics, including leadership, policy and politics, teaching and learning, technology, and student well-being. The website also provides resources for educators, such as lesson plans, professional development opportunities, and research reports.

Almanack is an AI-powered educational platform designed to help teachers plan, create, and tailor lesson plans and classroom resources to meet the unique needs of every student. It offers differentiated resources, personalized feedback, and tools for yearly, unit, and lesson planning. Almanack aims to reduce the administrative burden on teachers, enhance student engagement, and provide a more personalized learning experience.

MASCAA is a comprehensive human confidence analysis platform that focuses on evaluating the confidence of users through video and audio during various tasks. It integrates advanced facial expression and voice analysis technologies to provide valuable feedback for students, instructors, individuals, businesses, and teams. MASCAA offers quick and easy test creation, evaluation, and confidence assessment for educational settings, personal use, startups, small organizations, universities, and large organizations. The platform aims to unlock long-term value and enhance customer experience by helping users assess and improve their confidence levels.

Fast Learner is an AI-enabled learning platform that is revolutionizing the field of education. It leverages artificial intelligence to provide personalized learning experiences for students of all ages. By utilizing advanced algorithms and machine learning techniques, Fast Learner adapts to the individual needs and learning styles of each user, offering tailored content and feedback to enhance their educational journey. With a focus on efficiency and effectiveness, this platform aims to make learning more engaging, interactive, and accessible to a wide range of learners.

Learning Copilot is an AI-powered platform designed to assist users in enhancing their learning experience. It leverages artificial intelligence to provide personalized recommendations, interactive study materials, and real-time feedback to help users improve their knowledge retention and academic performance. With a user-friendly interface and advanced algorithms, Learning Copilot aims to revolutionize the way people learn by making education more engaging, efficient, and effective.

Pitchyouridea.ai is an AI-powered platform designed to help entrepreneurs and business owners improve their pitch skills and increase their chances of success in fundraising and other important presentations. The platform offers users the ability to create a pitch deck in just 3 minutes using their voice, interact with AI experts for feedback, and generate AI-enhanced pitch decks based on their ideas. With a focus on combining human intelligence with artificial intelligence, Pitchyouridea.ai aims to turn words into visual ideas and provide a seamless experience for refining pitches and receiving valuable feedback.

VMock Dashboard is an AI-powered platform designed to provide personalized feedback on resumes. It leverages machine learning algorithms to analyze resumes and offers detailed insights on areas of improvement. Users can upload their resumes, receive instant feedback on content, formatting, and overall effectiveness, and track their progress over time. VMock Dashboard aims to help individuals enhance their resumes and increase their chances of landing their desired job opportunities.

Speakable is an AI-powered language learning platform that offers a variety of interactive activities to help students improve their language skills. It provides instant feedback on pronunciation, writing, and speaking exercises, as well as tools for grading, proficiency estimation, and progress tracking. Speakable also features shared curriculum spaces for educators to collaborate and share resources, integrations with popular platforms like Google and Clever, and multimedia-rich activities to enhance learning. The platform aims to engage students in dynamic activities that promote practice and growth while saving time for educators.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

Quiz Generator is a plugin for Obsidian that uses AI models to create interactive exam-style questions from notes. It supports various question types and provides real-time feedback. Users can save questions, generate in multiple languages, and use math support. The tool is suitable for students preparing for exams and educators designing assessments.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

Nyxtext is a text editor built using Python, featuring Custom Tkinter with the Catppuccin color scheme and glassmorphic design. It follows a modular approach with each element organized into separate files for clarity and maintainability. NyxText is not just a text editor but also an AI-powered desktop application for creatives, developers, and students.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Obsidian Weaver is a plugin that integrates ChatGPT/GPT-3 into the note-taking workflow of Obsidian. It allows users to easily access AI-generated suggestions and insights within Obsidian, enhancing the writing and brainstorming process. The plugin respects Obsidian's philosophy of storing notes locally, ensuring data security and privacy. Weaver offers features like creating new chat sessions with the AI assistant and receiving instant responses, all within the Obsidian environment. It provides a seamless integration with Obsidian's interface, making the writing process efficient and helping users stay focused. The plugin is constantly being improved with new features and updates to enhance the note-taking experience.

The 'awesome-ai-llm4education' repository is a curated list of papers related to artificial intelligence (AI) and large language models (LLM) for education. It collects papers from top conferences, journals, and specialized domain-specific conferences, categorizing them based on specific tasks for better organization. The repository covers a wide range of topics including tutoring, personalized learning, assessment, material preparation, specific scenarios like computer science, language, math, and medicine, aided teaching, as well as datasets and benchmarks for educational research.

Expert in physical education content knowledge and pedagogical content knowledge

An expert in ontology, epistemology, and the Swedish education system, responding in Swedish.

A mentor who provides detailed feedback on student work.

I provide constructive feedback on academic paper ideas.

Whimsical tutor, personalizing help based on the user's grade.

Lisa oma kodutöö ülesanne teksti või eraldi failina. Annan sulle tagasiside, kas õpilastel on seda võimalik liiga hõlpsasti tehisaruga ära lahendada. Pakun võimalusi, kuidas ülesannet muuta selliseks, et õpilane peaks rohkem oma aru selle lahendamisel kasutama.

A GPT based on the Swedish curriculum in Biology

Expert advice on how to balance the virtual with the traditional mode of teaching

Educational advisor on schooling and learning methodologies

I'm here to help you deliver the best possible lessons while spending less time on admin tasks and lesson planning.

Expert on teaching, learning, and instructional tech.

Friendly pedagogy expert with advice on good ways to teach and learn. Based on "Practical Pedagogy: 40 New Ways to Teach and Learn".

Constructive advisor in educational strategies, focusing on inverse reasoning and DDD.

I create engaging homeschool curricula for preschool to 2nd grade, focusing on inclusivity and interactive learning.

児童、生徒、学生のテストの自己採点物を分析し、文化や私生活を考慮した学習のアドバイスを行います。(This program analyzes the self-graded test items of children, students, and students, and advises them on their studies, taking into account their cultural and personal lives.)

Guides students through university applications, with a focus on essays and interviews.

I provide CDC-guided, person-centered language feedback on medical writing.

Helps check and provide feedback on service providers like contractors and plumbers.

UI/UX expert reviewing and providing feedback on interfaces

Grades and provides feedback on college-level science lab reports.