As cybersecurity threats increasingly impact business operations, equipping future managers with foundational digital security skills is essential. This study presents the design and evaluation of an AI-personalized gamified website aimed at enhancing cybersecurity awareness among business management students. The platform integrates intelligent agents to adapt content difficulty, provide real-time feedback, and personalize learning paths based on user behavior. Gamification elements, including scenario-based challenges, progress badges, and interactive simulations, are embedded to improve engagement and retention. A pilot implementation across two higher education institutions measured learning outcomes, engagement metrics, and usability. Results indicate significant improvements in students’ cybersecurity knowledge, decision-making accuracy, and motivation compared to traditional instruction. The study contributes a scalable framework for integrating AI and gamification into business education, aligning with the evolving demands of digital business environments.

Generative artificial intelligence (AI) presents new opportunities for enhancing blended and hybrid learning through adaptive and visually rich instructional materials. This study proposes a concise pedagogical framework for integrating AIgenerated visuals, produced using text-to-image tools such as Adobe Firefly and NanoBanana, into hybrid classroom instruction. By enabling rapid creation of customized visual content aligned with lesson objectives, these tools support diverse learning styles and conceptual understanding. A mixed-methods approach was employed, combining pre-test and post-test assessments, learning management system (LMS) engagement analytics, and qualitative feedback from students and faculty. Results indicate measurable improvements in student comprehension, time-on-task, and interaction rates when AI-generated visuals were incorporated into blended learning modules. Ethical considerations, including content accuracy, bias, and faculty readiness, were also examined. The study contributes a practical and scalable model for the responsible integration of AI-generated visuals into technologyenhanced learning environments.

This study examines the use of Google Gemini Veo 3 for generating instructional videos in blended learning environments supported by a Learning Management System (LMS). A quasi-experimental mixed-methods approach was employed to evaluate the effects of AI-generated videos on students’ learning performance and engagement. Results show a statistically significant improvement in post-test scores with moderate effect size, as well as increased behavioral, cognitive, and emotional engagement. Qualitative findings indicate that students value the videos for their clarity, visual support, short length, accessibility features, and alignment with assessments, while also highlighting the importance of transparency in AI use. The findings suggest that AI-generated videos can enhance blended learning when integrated with sound instructional design and ethical practices.

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.