Architecture for a large scale learning ecosystem

dc.contributor.author Pal, J. van der
dc.contributor.author Buiel, E.
dc.contributor.author Korteling, H.
dc.contributor.author Oprins, E.
dc.date.accessioned 2026-01-16T13:07:12Z
dc.date.available 2026-01-16T13:07:12Z
dc.date.issued 2025
dc.description.abstract This paper presents a concept for an integral learning ecosystem for the Netherlands armed forces consisting of six components: learning content, didactics, people, technology, data, and policy and governance. The ecosystem is designed to enhance personalized learning and development by improving both effectiveness and efficiency. To facilitate the design of learning ecosystems, we propose a reference architecture tailored to the Netherlands armed forces. This paper also explores the implications of this architecture for Automated Instructional Systems (AIS), emphasizing the need for adaptability, standardization, and seamless integration with learning analytics. The continuous development of this learning ecosystem in The Netherlands may serve as a testcase for AIS platforms, providing further research and evaluation of their effectiveness in large-scale learning ecosystems.
dc.identifier.citation van der Pal, J., Buiel, E., Korteling, H., Oprins, E. (2025). Architecture for a Large Scale Learning Ecosystem. In: Sottilare, R.A., Schwarz, J. (eds) Adaptive Instructional Systems. HCII 2025. Lecture Notes in Computer Science, vol 15812. Springer, Cham. https://doi.org/10.1007/978-3-031-92967-0_10
dc.identifier.uri https://hdl.handle.net/10921/1846
dc.language.iso en
dc.publisher Springer
dc.rights.holder © 2025 by the authors, under exclusive license to Springer Nature Switzerland AG
dc.title Architecture for a large scale learning ecosystem
dc.type Other
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