Overview
ISO/IEC TR 9858:2026: Information technology - Use cases on advanced learning analytics services using emerging technologies is an international standard developed by ISO/IEC JTC 1/SC 36. This technical report focuses on advanced learning analytics services that leverage emerging technologies such as cloud computing, blockchain, virtual reality (VR), the Internet of Things (IoT), and artificial intelligence (AI). The document primarily targets educational sectors, including K12 education, higher education, and vocational education and training (VET).
The purpose of ISO/IEC TR 9858:2026 is to provide detailed use cases demonstrating practical applications of advanced learning analytics services (ALAS). It also introduces a comprehensive categorization system for these services and explores their interrelationships to guide the efficient design and development of learning analytics solutions.
Key Topics
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Advanced Learning Analytics Services (ALAS): The report examines systems that aggregate and analyze learner data from digital interactions, offering advanced insights through the use of innovative technologies.
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Emerging Technologies:
- Cloud computing supports scalable e-learning platforms, remote learning, secure data storage, and real-time student-teacher interaction.
- Blockchain ensures secure credential verification, immutable learning records, and enhanced data privacy.
- VR/AR enables immersive, experiential learning environments and realistic simulations to improve engagement and skill acquisition.
- IoT enhances data collection through smart classrooms, interactive laboratories, and automated educational administration.
- AI provides data-driven decision-making, automated assessments, predictive analytics, and personalized learning pathways.
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Categorization and Framework: The standard classifies learning analytics services into six groups:
- Learning environment or pedagogical support
- Data collection and data ecosystem
- Assessment, reasoning, and prediction
- Learning outcome and feedback
- Data visualization
- Privacy protection and data ownership
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Interrelationships: The document outlines how these groups interact within holistic educational ecosystems, emphasizing privacy and data ownership as cross-cutting considerations.
Applications
ISO/IEC TR 9858:2026 demonstrates practical applications of advanced learning analytics across a wide array of educational contexts:
- K12 Education: Supports individualized instruction, formative assessment, and improved classroom management using data from both digital and semi-digital activities.
- Higher Education: Enables predictive student performance analytics, automated feedback, and personalized curriculum development.
- Vocational Education & Training (VET): Provides immersive simulations through VR, tracks skill development, and facilitates secure credentialing with blockchain.
- Education Stakeholders: Teachers, administrators, and policy makers benefit from actionable analytics for curriculum improvement, resource allocation, and student retention.
- Data Governance: Establishes frameworks for robust privacy protection and clearly defined data ownership in compliance with international standards.
Related Standards
The report references and complements other international standards in learning analytics and data management, including:
- ISO/IEC TR 20748 series: Guidance and terminology for learning analytics services.
- ISO/IEC TS 20748-3 & TS 20748-4: Specifications for learning analytics systems and processes.
- ISO 2382: Fundamental concepts and vocabulary relating to data analysis.
- ISO/TS 29585: Dashboard interfaces for data presentation.
- IEEE 9274.1.1-2023: Related standards for educational data.
By organizing proven use cases and establishing a unified framework, ISO/IEC TR 9858:2026 serves as a critical reference for the development of next-generation, technology-enhanced learning analytics solutions that support personalized, data-driven education while ensuring privacy and effective data governance. This standard is relevant for education technology designers, software developers, data scientists, and institutional leaders seeking to implement cutting-edge analytics in educational environments.