Best AI tools for< Assess Student Learning >

Breakout Learning is an AI-powered educational platform that transforms traditional case studies into engaging, multifaceted experiences. It empowers professors with AI insights into small-group discussions, enabling them to customize lectures and foster deeper student comprehension. Students benefit from rich content, peer-led discussions, and AI assessment that provides personalized feedback and tracks their progress.

EverLyn AI is a platform that allows users to build AI-powered tutors. These tutors can provide personalized and instant support to students, as well as automated assessment. This can help to create a more personalized and effective learning experience for students.

Gradescope is an online assessment platform that helps educators deliver and grade assessments seamlessly. It supports various assignment types, including variable-length assignments, fixed-template assignments, paper-based assignments, and programming projects. Gradescope enables educators to provide detailed feedback, maintain consistency with flexible rubrics, and send grades to students with a click. It also offers valuable insights through per-question and per-rubric statistics, helping educators understand student performance and adjust their teaching strategies. Additionally, Gradescope incorporates AI-assisted grading features, such as answer grouping, to streamline the grading process.

Educator Lab is an AI-powered SaaS tool that helps educators generate compliant lesson plans, worksheets, and activities. With our platform, you can create PDF and Doc files for any grade, academic subject, and level, including general and adult education. Whether you're a teacher, administrator, or instructional designer, Educator Lab has everything you need to streamline your lesson planning process and improve student outcomes.

Parlay is an AI-powered instructional platform that helps teachers facilitate meaningful, measurable, and inclusive class discussions. It offers various features such as Written RoundTables, Verbal RoundTables, Parlay Genie, RoundTable Sequences, and Parlay Universe. Parlay integrates with over 30 external tools and provides engagement reports to track student participation and skill development.

Quizalize is an AI-powered educational platform designed to help teachers differentiate and track student mastery. It offers whole class quiz games, smart quizzes with personalization, and instant mastery data to address learning loss. With features like creating quizzes in seconds, question bank creation, and personalized feedback, Quizalize aims to enhance student engagement and learning outcomes.

Soffos is an innovative platform that offers a personalized learning experience through AI technology. Users can access a wide range of educational content and tools to enhance their knowledge and skills. The platform is designed to provide a seamless and interactive learning environment for individuals and organizations alike.

AI Tutor Pro is a cutting-edge AI-powered personal digital assistant developed by Contact North | Contact Nord. It offers a wide range of educational content in various subjects, allowing users to learn anytime, anywhere, and in multiple languages for free. The application helps users assess and enhance their knowledge and skills on diverse topics, ensuring privacy and confidentiality. Contact North | Contact Nord, a not-for-profit corporation established in 1986, is behind this innovative tool.

Khanmigo is an AI-powered teaching assistant and tutor developed by Khan Academy, a trusted education nonprofit. It offers personalized learning experiences for teachers, learners, and parents across various subjects such as math, science, coding, and humanities. Khanmigo aims to revolutionize education by providing on-demand support, engaging content, and ethical design focused on safety and learning. With features tailored for educators and students, Khanmigo simplifies workflows, challenges critical thinking, and guides learners to discover answers independently.

PDF2Quiz is an AI-powered tool that allows users to convert PDF documents into interactive quizzes. Users can upload a PDF, specify the number of questions, select the language, and set the difficulty level to transform the PDF into an engaging quiz. The tool utilizes Optical Character Recognition (OCR) to create quizzes from PDFs with non-selectable text, making it easy for users to assess their knowledge and share quizzes with others. With multilingual quiz conversion capabilities, PDF2Quiz caters to users from various linguistic backgrounds. The tool also offers features such as reviewing scores and answers, challenging users with automatically generated multiple-choice questions, and enabling offline use by saving quizzes and answers as PDFs.

This AI-driven solution revolutionizes course development by streamlining and enhancing the entire process. It provides a comprehensive suite of tools that empower educators to create engaging and effective learning experiences with greater efficiency and ease. By leveraging the power of AI, this solution automates repetitive tasks, provides personalized recommendations, and offers real-time insights, enabling educators to focus on what matters most: delivering exceptional learning outcomes.

AI Times Tables is an AI multiplication learning helper that offers free printable multiplication charts and worksheets. It provides a convenient way for students to practice multiplication skills and for teachers or parents to assess mastery of fundamental concepts. The application is designed to enhance math learning journeys for children from Kindergarten to 4th Grade, with customizable use recommendations to suit individual learning paces.

Cognii is an AI-based educational technology provider that offers solutions for K-12, higher education, and corporate training markets. Their award-winning EdTech product enables personalized learning, intelligent tutoring, open response assessments, and rich analytics. Cognii's Virtual Learning Assistant engages students in chatbot-style conversations, providing instant feedback, personalized hints, and guiding towards mastery. The platform aims to deliver 21st-century online education with superior learning outcomes and cost efficiency.

InVID is a knowledge verification platform that helps detect emerging stories and assess the reliability of newsworthy video files and content spread via social media. It provides tools and services to help users verify the authenticity of videos and identify potential misinformation.

Raw Shorts is an artificial intelligence video editor and text to video maker that helps businesses make explainer videos, animations and promo videos for the web and social media. It uses AI to create a video draft within seconds, saving you countless hours of video creation. You can then customize the video in the drag and drop editor, or use the text to speech feature to add narration. Raw Shorts has a library of over one million commercially licensed and creative commons videos, photos, icons and animations that you can use in your videos. It's a great tool for businesses that want to create high-quality videos without spending a lot of time or money.

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.

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.

Hiree365 is a comprehensive campus recruitment platform that connects universities, students, employers, and governments to improve graduate employability. It offers a range of features to help universities manage campus recruitments, employers attract better candidates, and students find jobs related to their university courses. Hiree365 also provides AI-powered job screening and matching technology to help employers find the perfect match for any job posting.

GPT for Forms is an AI-powered tool that helps you create quizzes from any text in less than a second. With GPT for Forms, you can easily generate forms for interviews, tests, and quick fun quizzes. The tool is easy to use and requires no coding skills. Simply install the add-on to your Google Forms account and start creating quizzes. GPT for Forms will automatically create a quiz for you based on the text you provide.

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.

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.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

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.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

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.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

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.

Raga LLM Hub is a comprehensive evaluation toolkit for Language and Learning Models (LLMs) with over 100 meticulously designed metrics. It allows developers and organizations to evaluate and compare LLMs effectively, establishing guardrails for LLMs and Retrieval Augmented Generation (RAG) applications. The platform assesses aspects like Relevance & Understanding, Content Quality, Hallucination, Safety & Bias, Context Relevance, Guardrails, and Vulnerability scanning, along with Metric-Based Tests for quantitative analysis. It helps teams identify and fix issues throughout the LLM lifecycle, revolutionizing reliability and trustworthiness.

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.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

Cherry Data Selection project introduces a self-guided methodology for LLMs to autonomously discern and select cherry samples from open-source datasets, minimizing manual curation and cost for instruction tuning. The project focuses on selecting impactful training samples ('cherry data') to enhance LLM instruction tuning by estimating instruction-following difficulty. The method involves phases like 'Learning from Brief Experience', 'Evaluating Based on Experience', and 'Retraining from Self-Guided Experience' to improve LLM performance.

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**

LLM Hallucination Index - RAG Special is a comprehensive evaluation of large language models (LLMs) focusing on context length and open vs. closed-source attributes. The index explores the impact of context length on model performance and tests the assumption that closed-source LLMs outperform open-source ones. It also investigates the effectiveness of prompting techniques like Chain-of-Note across different context lengths. The evaluation includes 22 models from various brands, analyzing major trends and declaring overall winners based on short, medium, and long context insights. Methodologies involve rigorous testing with different context lengths and prompting techniques to assess models' abilities in handling extensive texts and detecting hallucinations.

This repository explores the potential of LLMs as coding tutors through the proposed Traver agent workflow. It focuses on incorporating knowledge tracing and turn-by-turn verification to tackle challenges in coding tutoring. The method extends beyond coding to other task-tutoring scenarios, adapting content to users' varying levels of background knowledge. The repository introduces the DICT evaluation protocol for assessing tutor performance through student simulation and coding tests. It also discusses the inference-time scaling with verifiers and provides resources for training and evaluation.

MisguidedAttention is a collection of prompts designed to challenge the reasoning abilities of large language models by presenting them with modified versions of well-known thought experiments, riddles, and paradoxes. The goal is to assess the logical deduction capabilities of these models and observe any shortcomings or fallacies in their responses. The repository includes a variety of prompts that test different aspects of reasoning, such as decision-making, probability assessment, and problem-solving. By analyzing how language models handle these challenges, researchers can gain insights into their reasoning processes and potential biases.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

Assists designing your engineering course for entrepreneurial learning.

A curriculum assistant for L2 teachers.

Your hub for tech innovation and support in the classroom! Make sure to follow @drjohnpauls for more info, or visit www.drjohnpauls.com.

Drawing from 2500 years of learning theorists from the 'Greeks to the Geeks', ask me anything on LEARNING THEORISTS , LEARNING THEORIES. and LEARNING TECHOLOGIES

I provide tailored, detailed feedback and grades for each student's exam response.

Expert in Australian Curriculum & NAPLAN across all year levels.

Expert in physical education content knowledge and pedagogical content knowledge

Conversational and informative exit ticket generator.

Revolutionizing Learning, One Mind at a Time

Crea situacions d'aprenentatge per a l'educació bàsica (seguint les pautes del Dept. Educació) by @maprats

Friendly UDL expert, myth-busting inclusively.

Formelle Unterstützung bei der Integration von Medienkompetenz in den NRW-Unterricht

Expert on teaching, learning, and instructional tech.

Educational feedback using RISE Model

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

Transforms 3rd grade math tasks into creative, thinking-based activities.

Comprehensive GA curriculum guide for all grades & subjects.

Instructional coach for teachers, helps in lesson planning.

Creates custom programming courses and downloadable curricula

Build new undergraduate degrees with ease

GPT especializado en el diseño de ABP (Aprendizaje Basado en Proyectos)

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

Experta en metodologías activas, inspiradora y detallada. Más GPT en https://ja.cat/eduGPT

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

Your guide to aligning lesson plans with Common Core standards. Standards checked and updated daily.

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

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

Expertin für Smart Learning und digitale Bildung

Creates PBL lesson plans for middle and high school students.

Expert in PBIS, SEL, Classroom Management, Teaching Strategies, and Overall Best Practices.

Educational advisor on schooling and learning methodologies

Friendly PBL Planner and UDL Advocate

Auf der Grundlage der Fachliteratur von Walter Burk, Christian Stalder, Christof Arn, Jean-Paul Munsch und Andrea Klein u.a.m. Entwicklungsorientierte Bildung entdecken!

Assist in the creation and updating of exemplary curriculum for Colorado elementary school teachers

Provides comprehensive guidance on educational standards and assessments.

English teacher for lesson planning and research