Data Labeling for Education Technology
Empowering EdTech Innovation with High-Quality Training Data
Sapien provides expert and scalable data annotation services to fuel the development of AI models in the education technology sector with high-quality training data.
Why Sapien for EdTech Data Labeling?
Deep EdTech Domain Expertise
Our labelers have extensive experience working with educational content across grade levels, subject areas, and learning modalities and understand nuances and pedagogical principles in EdTech training data.
Rigorous Quality Assurance
Our multi-stage QA processes, combining automated checks and expert reviews, ensure training data of the highest accuracy and consistency. Sapien's QA is designed to meet the stringent standards of high-stakes EdTech applications.
Rapid Scaling and Flexible Engagement Models
The Sapien platform enables on-demand scaling of annotation throughput to meet aggressive EdTech product development timelines. Scale your project up or down with dedicated teams to support both early-stage initiatives and enterprise-scale deployments.
Customized Labeling Workflows
At Sapien, we tailor our annotation processes to the specific needs of the EdTech industry, which includes tasks like classifying and tagging learning content, generating questions and answers for adaptive learning systems, evaluating student responses using rubrics, segmenting educational images and videos semantically, and analyzing the sentiment of student and teacher feedback.
EdTech Data Labeling Applications
Learning Content Annotation
- Subject area and topic classification
- Grade level and difficulty tagging
- Learning objective and curriculum standards alignment
- Content modality and accessibility metadata
Intelligent Tutoring Systems
- Domain model and knowledge graph construction
- Pedagogical strategy labeling
- Dialog act classification for conversational learning
- User input sanitization and safety labeling
Learner Analytics
- Clickstream data labeling for engagement analysis
- Performance data annotation for adaptive learning models
- Sentiment analysis of discussion forums and feedback
- Multimodal data annotation for social-emotional learning
Assessment and Evaluation
- Question/answer authoring for formative assessment
- Rubric development and application
- Constructed response annotation for automated scoring
- Metacognitive skill tagging
Secure and Compliant EdTech Data Handling
Sapien maintains strict data security and privacy controls, and data privacy-compliant practices. Our annotators are trained to handle sensitive student data responsibly.
Empowering Edtech Leaders
Tailoring Precision: The Social Media Content Analysis Project
Crafting Authenticity: Enhancing Originality.ai with Sapien’s Text Annotation Expertise
Precision in Wilderness: The Scandinavian Trail Cam Computer Vision Project
See How our Data Labeling Works
Learn how Sapien can build a scalable data pipeline for you. Schedule a consultation to learn more.