An AI-Enable Knowledge Graph and Student’s Agency in Productive Struggle During Problem-Based Learning in Cybersecurity Education

Abstract

Problem-based learning (PBL) is adapted to support students' learning in cybersecurity courses. However, students frequently lack learner agency and require step-by-step instruction. With an instructor's minimum help, students struggle with integrating coherent target concepts, applying those concepts to solve real-world problems, and managing their learning progress. To respond to the national challenge on the workforce development in AI for Cybersecurity, we propose a novel AI-enabled CyberSecurity knowledge graph (AISecKG) in the hands-on labs to simulate real-life cybersecurity scenarios, support students to engage in productive struggle, and enhance learner agency in Cybersecurity problem-solving. We interviewed twelve students after two projects to understand what dimensions affect their learner agency and if AISecKG, an AI-enabled knowledge graph, help them develop learner agency in solving Cybersecurity problem. The results reveal four dimensions of learner agency in problem-solving: productive struggle during the projects, alignment between instructor and student expectation, familiarity with the PBL tasks, strategies for sensemaking. The rubric scores showed that students used AISecKG in productive struggle, alignment between instructor and student expectations and sensemaking strategies and generally improved their learner agency after the second project.



Author Information
Inging Ratrapee Techawitthayachinda, Arizona State University, United States
Yuli Deng, Arizona State University, United States
Zhen Zeng, Arizona State University, United States
Huan Liu, Arizona State University, United States
Ying-Chih Chen, Arizona State University, United States
Dijiang Huang, Arizona State University, United States

Paper Information
Conference: IICE2022
Stream: Design

This paper is part of the IICE2022 Conference Proceedings (View)
Full Paper
View / Download the full paper in a new tab/window


To cite this article:
Techawitthayachinda I., Deng Y., Zeng Z., Liu H., Chen Y., & Huang D. (2022) An AI-Enable Knowledge Graph and Student’s Agency in Productive Struggle During Problem-Based Learning in Cybersecurity Education ISSN: 2189-1036 – The IAFOR International Conference on Education – Hawaii 2022 Official Conference Proceedings https://doi.org/10.22492/issn.2189-1036.2022.40
To link to this article: https://doi.org/10.22492/issn.2189-1036.2022.40


Video Presentation

Comments & Feedback

Place a comment using your LinkedIn profile

Comments

Share on activity feed

Powered by WP LinkPress

Share this Research

Posted by amp21