Active learning software enhances engagement and improves knowledge retention by promoting interactive and participatory learning experiences. Here are seven notable active learning tools:
Amazon Augmented AI: Developed by Amazon Web Services, this tool facilitates human review of machine learning predictions, ensuring high accuracy in applications like data labeling and content moderation.
Encord: A platform designed for data-centric machine learning, Encord offers tools for data annotation, curation, and active learning, streamlining the process of building high-quality datasets.
Aquarium: Aquarium provides a suite of tools for managing and improving machine learning datasets, including features for data visualization, annotation, and active learning to enhance model performance.
Deepchecks: This tool offers comprehensive testing for machine learning models and data, enabling users to identify issues and improve model reliability through continuous validation and active learning strategies.
V7: V7 is an AI-powered platform for data labeling and model training, featuring automated annotation tools and active learning workflows to accelerate the development of accurate machine learning models.
SC Training (formerly EdApp): A mobile-focused learning management system that delivers engaging microlearning courses. It includes features like in-lesson discussions and practical assessments to foster active participation.
Mural: A digital workspace for visual collaboration, Mural allows teams to brainstorm, plan, and share ideas in real-time, enhancing engagement through interactive diagrams and collaborative tools.
These tools cater to various aspects of active learning, from enhancing machine learning workflows to promoting interactive educational experiences.