The rapid advancement of large language models (LLMs) such as ChatGPT, Claude, and Gemini presents new opportunities for personalized education. These AI systems are capable of tailoring learning experiences, providing instant feedback, and supporting self-paced study. However, questions remain regarding their pedagogical effectiveness, ethical implications, and alignment with educational goals. This study explores the opportunities and challenges of integrating LLMs into personalized learning environments in higher education. Using a mixed-method approach that combines experimental use of LLM-based tutoring with surveys and interviews of students and educators, the research evaluates their impact on engagement, learning outcomes, and inclusivity. Findings are expected to contribute to the discourse on AI in education while supporting the United Nations’ Sustainable Development Goal 4 (Quality Education), particularly in promoting inclusive and equitable access to learning opportunities through emerging technologies.

Cybersecurity literacy is increasingly vital in higher education, yet traditional teaching methods often fail to sustain student engagement. This paper introduces Aegis Academy, an AI-driven gamified learning platform that uniquely integrates adaptive feedback mechanisms with game-based elements to enhance cybersecurity awareness and skills. Unlike existing systems, Aegis Academy combines real-time personalization, rolebased analytics, and modular gamification tailored for academic settings. A pilot study involving 100 students and 20 instructors demonstrated significant improvements in phishing awareness (+22 %), overall scores (+18 %), and module completion rates (87% vs. 64%). Students rated the platform highly for engagement and learning impact, while instructors reported strong pedagogical alignment and usability. The platform supports Sustainable Development Goal 4 (SDG 4) by promoting inclusive, equitable, and engaging digital education. These findings suggest that Aegis Academy offers a scalable and effective model for cybersecurity instruction in higher education.

In the digital age, cybersecurity awareness is increasingly vital, especially for information technology (IT) students who will eventually design and manage secure systems. This paper presents CyberSAFE, a gamified web-based platform developed to enhance cybersecurity literacy through interactive modules, quizzes, and analytics dashboards. By integrating gamification with digital pedagogy principles, the platform promotes engagement, tracks learning progress, and identifies knowledge gaps in real time. A developmental-evaluative research methodology was employed, using pre- and post-tests, survey data, and system-generated analytics. Results indicate that students demonstrated measurable gains in cybersecurity knowledge, supported by positive perceptions of the platform’s usability, content relevance, and motivational impact. On a 5-point Likert scale, mean survey ratings exceeded 4.5, reflecting high acceptance and perceived effectiveness. These findings suggest that CyberSAFE can improve cybersecurity literacy while contributing to the Sustainable Development Goals (SDG 4: Quality Education and SDG 9: Industry, Innovation, and Infrastructure).

As social engineering threats continue to evolve, equipping learners with the skills to recognize and respond to digital manipulation has become a critical component of digital citizenship education. This paper explores the use of Microsoft Copilot—an AI-powered assistant—as a tool for generating instructional content that enhances awareness of social engineering tactics within digital learning environments. By integrating Copilot into the instructional design process, educators can rapidly produce scenario-based learning modules, phishing simulations, ethical discussion prompts, and adaptive assessments tailored to diverse learner profiles. The study presents a framework for human-AI collaboration in content creation, emphasizing pedagogical alignment, personalization, and scalability. Through case examples and prototype lesson plans, the paper demonstrates how Copilot can support educators in developing engaging, context-aware materials that foster critical thinking and digital resilience. This approach not only streamlines curriculum development but also positions generative AI as a strategic partner in advancing cybersecurity education across formal and informal learning contexts).

Allie’s Misadventures: Policies Sound Ridiculously Close to Fallacies” is a 3D single-player actionadventure game designed to combat misinformation by teaching players how to detect logical fallacies. Players assume the role of Allie, a bioroid journalist investigating media broadcasts and statements in a world dominated by disinformation. By infiltrating media towers under the King’s control, players learn to cross-examine and challenge deceptive arguments. The game aims to enhance critical thinking skills and reduce susceptibility to false information.