Repurposing Case-Based Learning to a Conversational Agent for Healthcare Cybersecurity.

Area of Science:

• Cybersecurity Education
• Human-Computer Interaction
• Educational Technology

Background:

• Effective communication is vital for cybersecurity education.
• Case-based learning improves cybersecurity behavior, but current methods may limit critical appraisal.
• Conversational agents offer potential to scaffold learning and deterrence strategies.

Purpose of the Study:

• To explore challenges in repurposing existing material for a case-based conversational agent.
• To modify the ASPIRE process for creating educational conversational agents.
• To evaluate the usability and identify areas for improvement in the developed agent.

Main Methods:

• Modified the ASPIRE process for content repurposing.
• Developed a case-based conversational agent for cybersecurity education.
• Conducted heuristic evaluation with 10 experts in educational technology.

Main Results:

• The modified ASPIRE process yielded a usable conversational agent.
• Heuristic evaluation confirmed desired usability outcomes.
• Natural Language Understanding (NLU) components require further enhancement.

Conclusions:

• Repurposing material into conversational agents is feasible with process modification.
• The modified ASPIRE process is suitable for future development of educational conversational agents.
• Future work should focus on improving NLU for enhanced agent performance.