The Ed-Fi Assessment Outcomes API describes a REST API surface to enable exchange of assessment metadata and student assessment results between disparate and geographically separated systems operated by different organizations.
1EdTech Caliper Analytics® is a technical specification that describes a structured set of vocabulary that assists institutions in collecting learning and usage data from digital resources and learning tools. This data can be used to present information to students, instructors, advisers, and administrators in order to drive effective decision making and promote learner success.
The Competencies and Academic Standards Exchange (CASE), developed by 1EdTech, is a standard that streamlines the digital sharing and organization of academic frameworks, learning outcomes, skills, and competencies across educational systems. It converts traditional static formats into a structured, machine-readable model, making it easier for platforms like learning management systems (LMS), assessment tools, and curriculum software to align educational content with defined standards and goals. The latest version, CASE 1.1, uses a RESTful API to enable real-time updates and integration, ensuring that educators and institutions can connect skills and competencies to broader educational frameworks and workforce needs. By fostering interoperability, CASE supports mapping curricula, tagging resources, and tracking student progress, enhancing the focus on learning outcomes and skill development in digital education environments.
The Comprehensive Learner Record (CLR) Standard Version 2.0 is an advanced specification that enhances how educational institutions and employers capture, share, and verify a learner’s achievements, skills, and competencies across their lifelong learning journey. It builds on earlier versions by integrating with the World Wide Web Consortium (W3C) Verifiable Credentials framework, enabling secure, tamper-evident digital records that learners can control and share easily. CLR 2.0 supports a wide range of learning outcomes—from academic courses and co-curricular activities to workplace skills and competencies—packaging them into a single, interoperable record. Using a RESTful API and JSON-LD format, it connects seamlessly with learning management systems, digital wallets, and employment platforms, aligning educational frameworks with workforce needs. This standard empowers learners to showcase their full range of abilities while providing institutions and employers with a trusted, flexible tool to recognize and validate diverse learning experiences.
The goal of the Ed-Fi Alliance is to drive national adoption of the Ed-Fi Data Standard — a common language that allows education technology systems to securely exchange data from multiple sources. The data standard empowers educators and administrators by providing a comprehensive view of all data. It enables a clear understanding of student progress, informs instructional decisions, and supports the achievement of desired learning outcomes.
A data standard is a set of rules for collecting, managing, and organizing educational data that allows multiple systems to seamlessly and securely share actionable information.
Edu-API is the latest in the 1EdTech family of academic enterprise specifications. Driving off the comprehensive modeling of Learning Information Services (LIS) and leveraging the extensive history and experience of past efforts like OneRoster® and LTI®, Edu-API allows for the standardized exchange of data between the transactional systems that manage higher education administration and teaching and learning. That means not only increased efficiency on campus but also the facilitation of the development of a new generation of smart, sustainable apps, personalized based on data about the student shared in a secure and responsible way.
The Edu-V agreement system (Standardisation Framework) describes the agreements made by public and private parties regarding the exchange of digital data between learning and teaching materials for primary education, specialized education, secondary education and secondary vocational education in the Netherlands.
This document specifies a reference model that identifies the diverse IT system requirements of learning analytics interoperability. The reference model identifies relevant terminology, user requirements, workflow and a reference architecture for learning analytics.
Broad set of standards to support the educational development of health professionals. Activity Report, Competency Framework, Curriculum Inventory, Educational Achievement, etc etc
Broad set of standards to support the educational development of health professionals:
Question and Test Interoperability (QTI) is a technical standard that facilitates the creation, exchange, and delivery of assessments, quizzes, and test items focused on learning outcomes, skills, and competencies across educational platforms. It incorporates a structured format to define diverse question types—such as multiple-choice, essays, or interactive tasks—along with scoring rules, feedback, and metadata, ensuring consistent performance in learning management systems (LMS) and assessment tools. QTI integrates support for Access For All and Personal Needs and Preferences, enabling personalized accessibility adjustments—like accommodations for visual, auditory, or motor impairments—aligned with individual learner needs and broader educational frameworks. Deployed heavily worldwide for high-stakes assessment scenarios, QTI ensures equitable access and fairness, allowing educators to align assessments with curriculum goals, share interoperable content, and effectively measure skill development in diverse, inclusive digital testing environments.