Volume 5
Abstract: Educational technologies struggle to represent the human-AI collaborative competencies increasingly central to cybersecurity practice. Current learning management systems and assessment frameworks assume individual human learners interacting with passive technological tools, failing to capture the distributed agency and technological mediation that characterize contemporary professional work. This research addresses these limitations by developing semantic web representations of posthumanist educational concepts using JSON-LD schemas. Through in-depth qualitative analysis of the NICE Framework's Technology Portfolio Management work role (OG-015)—examining 73 coded instances across 9 posthumanist categories—we demonstrate how qualitative posthumanist coding can be translated into machine-readable formats while preserving theoretical sophistication. This detailed case study approach shows how JSON-LD enables computational analysis of human-technology entanglement patterns in professional competencies. The resulting semantic framework supports SPARQL queries that reveal collaborative learning processes, technological mediation patterns, and distributed agency requirements, with patterns suggesting broader applicability across the 52 NICE Framework roles. This methodology provides a practical pathway for developing educational technologies that recognize learning as emerging through human-AI assemblages rather than occurring within isolated human subjects. Results demonstrate the feasibility of operationalizing posthumanist theory for educational technology design, offering new possibilities for curriculum development and assessment in domains where human-AI collaboration is fundamental to professional practice. Download this article: CPPJ - V5 N1 Page 79.pdf Recommended Citation: Straight, R., Escamilla, A., (2026). Semantic Technologies for Cybersecurity Education Competencies: JSON-LD Implementation of Distributed Learning Analytics. Cybersecurity Pedagogy and Practice Journal 5(1) pp 79-103. https://doi.org/10.62273/SCRC1853 | ||||||