Visual Feedback for Players of Multi-Level Capture the Flag Games: Field Usability Study

Ošlejšek, Radek; Rusňák, Vít; Burská, Karolína; Švábenský, Valdemar; Vykopal, Jan

doi:10.48550/arxiv.1912.10781

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…There are various frameworks that have been developed for CSXs and cybersecurity education. Several academic papers (e.g., [8], [56]) and non-academic guides (e.g., [11], [57], [58]) describe the overall CSXs de- Capture the flag [19], [20], [21], [22], [23], [24], [25] [23] [22] [19], [20], [21], [22], [26] [27], [28] Discussion based game Drill Red team / blue team [29], [14], [30], [31] [32] [14] [33], [33], [34] Seminar Simulation [35], [36], [37], [38], [39], [40], [41], [42] [35] [35], [36], [43], [44] [38], [39] Table-top [45], [46] [45] Workshop [47], [48] Exercise/lab [15], [49] [50], [16], [51], [52],…”

Section: Comparison To Other Framework In Csxsmentioning

confidence: 99%

Learning Analytics Perspective: Evidencing Learning from Digital Datasets in Cybersecurity Exercises

Maennel

2020

2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

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Cybersecurity exercises are gaining in popularity in university curricula and professional training paths and are seen as an effective teaching method. Such exercises provide digital datasets to facilitate a learning analytics approach such as by using the traces that learners leave behind to improve the learning process and environment. While there are various learning measurement efforts from digital datasets in the existing literature, a holistic learning analytics approach incorporated into cybersecurity exercises is still lacking. We propose a practical reference model for incorporating a learning analytics approach into the cybersecurity exercise life-cycle. To facilitate this application, we have performed an extensive review of existing academic research on applying learning analytics in the context of cybersecurity exercises. We specifically focus on the learning indicators used to measure empirical impact and training effectiveness that could indicate achievement of defined learning outcomes. This reference model and overview of existing learning analytics use cases and learning metrics in various types of exercises can help educators, organisers and cyber range developers. This results in more adaptive exercise design and measurement using evidencebased data and connects digital learning traces to skills and competencies.

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Section: Comparison To Other Framework In Csxsmentioning

confidence: 99%

Learning Analytics Perspective: Evidencing Learning from Digital Datasets in Cybersecurity Exercises

Maennel

2020

2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

View full text Add to dashboard Cite

show abstract

Visual Feedback for Players of Multi-Level Capture the Flag Games: Field Usability Study

Abstract: Figure 1: CLUSTERING (left) and TIMELINE (right) interactive visualizations provide feedback to players of serious multi-level cybersecurity games. They offer holistic as well as person-centric perspectives on the score development of one or more players.

Cited by 1 publication

References 14 publications

Learning Analytics Perspective: Evidencing Learning from Digital Datasets in Cybersecurity Exercises

Learning Analytics Perspective: Evidencing Learning from Digital Datasets in Cybersecurity Exercises

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