The study presents the results from a project in which subjects related with history were taught to high school students using spherical videos, viewed by means of smartphones and Google Cardboard compatible HMDs. The target group was One hundred five 14-15 years old students, divided into three groups. The first used printed material, the second web pages, and the third the HMDs. The project lasted for 12 two-teaching-hours sessions (for for each tool), and data were collected using evaluation sheets and a questionnaire for recording student views and attitudes. The results suggested that students who used the HMDs outperformed students who used the other tools. All tools were considered equally effective and the participating students considered the web pages as easier to use. Then again, the combination of spherical videos, smartphones, and HMDs was more enjoyable and motivating. Though the findings highlighted the educational potential of spherical videos when viewed through HMDs, they also point to the need for finding innovative teaching methods/frameworks for better exploiting their potential.

This study addresses the growing complexity of privacy protection in cloud computing environments (CCEs) by introducing a comprehensive socio-technical framework for self-adaptive privacy, complemented by an AI-driven beta tool designed for social media platforms. The framework’s three-stage structure—social, technical, and infrastructural—integrates context-aware privacy controls, dynamic risk assessments, and scalable implementation strategies. Key benefits include enhanced user-centric privacy management through customizable group settings and adaptive controls that respect diverse social identities. The beta tool operationalizes these features via a profile store for structured preference management and a recommendation engine that delivers real-time, AI-powered privacy suggestions tailored to individual contexts. Additionally, the tool’s safety scoring system (0–100) empowers developers and guides them in designing effective privacy solutions and mitigating risks. By bridging social context awareness with technical and infrastructural innovation, this framework significantly improves privacy adaptability, regulatory compliance, and user empowerment in CCEs. It provides a robust foundation for developing scalable and responsive privacy solutions tailored to evolving user needs.