{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T00:21:35Z","timestamp":1720052495532},"reference-count":0,"publisher":"University of Florida George A Smathers Libraries","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["FLAIRS"],"abstract":"The ability to incorporate original and adapted data into query-based storage structures to provide dynamic and timely service to sequence recommendation systems is a continuous goal of learning management systems. This can be a challenging goal when data integrity and student privacy are paramount. We are developing a hybrid machine learning-assisted system (CyberTaliesin) for cybersecurity educational support. In this poster, we present the early building blocks of the system involving the use of federated knowledge graphs as a trusted knowledge source capable of learning from \u201cless restricted\u201d models such as large language models. How can integrating these tools yield a flexible system that improves sequence recommendations, facilitates concepts such as adaptive and personalized learning, and achieves improved competency-based educational outcomes?<\/jats:p>","DOI":"10.32473\/flairs.37.1.135522","type":"journal-article","created":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T14:35:07Z","timestamp":1720017307000},"source":"Crossref","is-referenced-by-count":0,"title":["Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems"],"prefix":"10.32473","volume":"37","author":[{"given":"Eric","family":"Brown","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8073-1134","authenticated-orcid":false,"given":"Douglas","family":"Talbert","sequence":"additional","affiliation":[]}],"member":"17357","published-online":{"date-parts":[[2024,5,13]]},"container-title":["The International FLAIRS Conference Proceedings"],"original-title":[],"link":[{"URL":"https:\/\/journals.flvc.org\/FLAIRS\/article\/download\/135522\/140244","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.flvc.org\/FLAIRS\/article\/download\/135522\/140244","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T14:36:54Z","timestamp":1720017414000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.flvc.org\/FLAIRS\/article\/view\/135522"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":0,"URL":"https:\/\/doi.org\/10.32473\/flairs.37.1.135522","relation":{},"ISSN":["2334-0762"],"issn-type":[{"value":"2334-0762","type":"print"}],"subject":[],"published":{"date-parts":[[2024,5,13]]}}}