Published conference paper · 2017 · Teaching, learning & AI

Cybersecurity: Scenario-Based Inquiry for Engagement in Computer Literacy Education

ACM SIGCSE Technical Symposium · pp. 303–308

Can realistic problem scenarios make cybersecurity more accessible in computer-literacy education?

RESEARCH IN DEPTH

Learning cybersecurity through choices and consequences

A closer account of the question, evidence, and how to interpret this work.

01 / RESEARCH

Why a scenario changes the lesson

The interdisciplinary ACM conference paper considers scenario-based inquiry in computer literacy education. Cybersecurity topics can remain abstract when students memorize types of threats without evaluating a decision. A scenario instead makes learners identify relevant information, consider possible consequences, and explain which action is justified.

02 / RESEARCH

A bridge between computing and social reasoning

Choices about security are often about people, rules, and institutions as much as devices. A well-designed situation can involve competing priorities such as convenience, privacy, organizational responsibility, and risk. The contribution is an instructional approach that treats technical knowledge as something to be used in context rather than merely recited.

03 / RESEARCH

How to read the publication

The paper is a conference contribution about teaching design and engagement. Its bibliographic record supports the focus on scenario-based inquiry; claims about particular experimental conditions, performance gains, or significant statistical results require the complete paper and cannot be supplied from the title alone.

Source: Kerven, Nagel, Smith, Abraham and Young, Cybersecurity: Scenario-Based Inquiry for Engagement in Computer Literacy Education, ACM SIGCSE (2017).

Reading the record carefully

Scope, status, and limits.

A conference paper's actual measures and results must be checked in its source; engagement gains cannot be inferred from a descriptive title alone.

Published conference paper · 2017 · David Kerven, Kristine Nagel, Stella Smith, Sherly Abraham, and Laura D. Young · ACM SIGCSE Technical Symposium · pp. 303–308.