This chapter explores the developmental implications of artificial intelligence (AI) in contemporary educational settings. Employing a dual-methodological approach that combines interdisciplinary expertise with an integrative literature review, the chapter explores how AI technologies are reshaping student identity, emotional regulation, motivation, autonomy, and interpersonal relationships. Drawing on developmental psychology, educational theory, and empirical research, it interrogates the unintended consequences of algorithmic surveillance, pedagogical automation, and AI-mediated social interactions. The analysis highlights both the affordances and risks of AI in education, including its impact on emotional resilience, self-directed learning, and the construction of academic identity. Reframing the discourse away from purely technical efficiency toward developmental integrity makes visible the deeper human stakes of AI integration in education. The chapter consequently calls for ethical, inclusive, and human-centered approaches to AI design and implementation in schools.

The integration of digital technologies in education has profoundly transformed teacher education, necessitating a focus on creativity, problem-solving, and inquiry-based learning. Despite the expanding literature on technological self-efficacy, creativity, and curiosity in education, significant gaps persist in understanding their relationships, especially in teacher education. Utilizing a cross-sectional design, the study applies PLS-SEM to investigate the relationships among technological attitudes, technological self-efficacy, technological problem-solving engagement, intrinsic motivation, learning engagement, pedagogical knowledge, content knowledge, creative reasoning, and curiosity among 875 respondents from a state university in Cebu City, Philippines. The findings reveal that positive technological attitudes significantly enhance technological self-efficacy, which, while influencing technological problem-solving engagement, does not directly impact creative reasoning or curiosity. Additionally, both technological problem-solving engagement and intrinsic motivational factors substantially contribute to fostering creativity and curiosity. The strong roles of pedagogical knowledge and content knowledge further emphasize the need for teacher education programs to incorporate holistic strategies that combine technological engagement with pedagogical frameworks. These insights underscore the importance of equipping pre-service teachers with the skills and knowledge necessary to cultivate creativity and curiosity in their future classrooms, thereby enhancing overall educational effectiveness.

Purpose: This study aimed to examine how physical education (PE) students engage with fitness content on TikTok. Methods: The evaluation involved 597 students enrolled in a PE 1 course across three campuses of a prominent university. Results: Findings show that students primarily watch TikTok videos for entertainment, with male students also seeking motivation and social interaction, while female students look for escape, advice, and guidance. Engagement is highest for videos featuring body transformations, fitness tips, and motivational content, with a tendency to apply learned exercises, tips, and nutrition education. Body transformations and motivational videos effectively arouse emotions and elicit affective responses. Conclusion: This research highlights diverse motivations and impacts of fitness content on TikTok among PE students, contributing to the literature on social media usage and offering insights for enhancing instructional practices in PE and understanding digital media interaction.

Biochar also known as ‘biocarbon’ or ‘biocoal’ is a material that has a charcoal similar property. It is obtained from thermolysis (pyrolysis) of biomass feedstocks and plant matters. It can help the process of eliminating carbon dioxide from the atmosphere. The biochar was considered as waste by industrial plants and considered no additional cost except for the transportation. Biochar was tested for its chemical properties in Department of Science and Technology as a parameter for Simapro. Environmental and health impact were analyzed in this study for concrete with biochar as partial replacement for cement. Different mixtures with zero percent to twenty percent biochar replacement was simulated using life cycle assessment with the help of Simapro. Different sources in Luzon island, Philippines were gathered and found out that sources in southern part of Luzon is the best sources for biochar because of its near location that decreases the effect of transportation. Also, concrete with biochar replacement with or without considereing the effect of transportation yields greater health and environmental impact compared to mixture without biochar replacement.

Once confined to science fiction and speculative futures, generative artificial intelligence (GenAI) has swiftly entered the lecture halls of modern medical education. Despite its expanding use, a synthesis of its implementation, limitations, and educational value remains underexplored. This review aims to critically examine current applications, identify pedagogical pitfalls, and delineate future trajectories for GenAI in medical training. Key innovations include AI-driven content generation tailored to curricular benchmarks, automated assessments with real-time diagnostic feedback, and immersive virtual patient simulations replicating complex pathophysiologies. Additional advances span multilingual knowledge translation, anatomically precise surgical training environments, and adaptive learning systems powered by intelligent tutoring frameworks. As discussed herein, GenAI holds transformative potential for advancing clinical competence in an evolving medical landscape—provided its integration is evidence-based, ethically sound, and educationally coherent.

Philippine is one of the countries near in the Pacific Ring of Fire. In recent years, several moderate to high seismic activities happened that leads to casualties, deaths and damages in different structures. Manila is the capital of the Philippines with a population of almost 1.8 million. Many structures have been considered as old and unsafe and with an impending earthquake, it is essential to rehabilitate these structures. The imminent danger of the West Valley Fault when it moves is known throughout the metro manila and other neighbouring regions. The damage and casualties that will sustain from the possible 7.2 magnitude earthquake is fatal. Conducting mitigation programs is critical for it will greatly benefit the government and the people. Rapid Visual Screening (RVS) is an effective and efficient way of assessing the building’s structural integrity. This methodology is used to assess the structure’s seismic risk by visual observation of the exterior and interior of the buildings and a data collection form. RVS was applied in 26 hospital building’s located in Manila and the outcome of the assessment has shown that only 6 hospital buildings proved to be seismically adequate when using the level 1 data collection form. RVS is an effective tool in providing initial insight in the building’s vulnerability to seismic event.

Hydrogen production via water electrolysis faces significant commercialization challenges due to the high cost and scarcity of iridium (Ir). Reducing Ir loading while maintaining high catalytic performance is critical for advancing proton exchange membrane (PEM) water electrolyzers. To address these challenges, this study introduces Ni@Ir core-shell nanowires (CSNW) as a cost-effective catalyst for enhancing Ir utilization in oxygen evolution reaction (OER). Ni@Ir-CSNW features an amorphous Ir shell coating crystalline Ni nanowires, achieving a high BET surface area of 417 m2 g−1 and an electrochemical surface area (ECSA) of 324 m2 g−1. With a reduced Ir loading of 22 wt.%, Ni@Ir-CSNW delivers remarkable performance, including a mass activity of 9.4 A mg−1 which is a 35-fold increase compared to conventional Ir nanoparticle (Ir-NP) catalysts. Ni@Ir-CSNW achieves an overpotential of 260 mV at 10 mA cm−2 and a favorable Tafel slope of 54 mV dec−1. Stability tests further demonstrate 68% retention of mass activity after 100 cycles. This work presents an effective strategy to enhance catalyst performance while reducing Ir usage, contributing to more sustainable and economically viable PEM water electrolysis systems.

As artificial intelligence (AI) becomes increasingly integrated into educational contexts, they present new challenges to traditional assessment methods. A particularly pressing issue is academic dishonesty, which undermines learning authenticity and the credibility of educational institutions. With generative AI tools like ChatGPT making it easier for students to produce automated answers, educational assessments are at risk of measuring AI capabilities rather than students' actual knowledge. Thus, this chapter explores a range of strategies designed to adapt assessment practices in response to the influence of AI in education. These strategies offer actionable frameworks to support authentic learning and uphold academic integrity. Additionally, the chapter highlights future research directions to guide further adaptation of educational policies and practices. Given the rapid integration of AI in the education sector, this chapter provides sensible insights that reinforce the importance of integrity-focused reforms in sustaining meaningful educational outcomes in an AI-driven world.

As generative AI tools become increasingly integrated into educational practice, its use among pre-service teachers is often accompanied by hesitation and discomfort. This chapter examines the phenomenon of AI shaming among teacher education students—the stigma and reluctance to disclose AI tool use due to perceived threats to academic authenticity. Drawing on classroom insights and student reflections, it explores how social norms, institutional pressures, and identity formation shape this behavior. These experiences reveal the deep tension between embracing technological innovation and maintaining traditional standards of academic merit. The chapter highlights the implications for digital literacy, professional development, and ethical technology integration. It calls for a shift in narrative, framing AI not as a shortcut but as a tool for innovation. Actionable strategies for educators and institutions are proposed to foster open, reflective, and supportive environments for responsible AI use in teacher education.

In an era marked by rapid technological advancement, protecting the intellectual property (IP) of educational innovations has become more critical than ever. This chapter examines the intersection of educational innovation, artificial intelligence (AI), and IP protection. Patents, which safeguard the technical and functional aspects of inventions, are crucial for protecting these advancements amid rapid technological disruptions. As discussed in the chapter, several challenges are posed by AI in generating and managing IP, including the need to redefine inventorship, address skill obsolescence, and ensure equitable IP frameworks. Despite the importance of addressing these issues to foster innovation, they remain underexplored in the existing literature. Therefore, this chapter calls for a reassessment of existing legal and procedural frameworks to adapt to the evolving IP landscape and sustain the integrity of educational innovations. Overall, this chapter aims to contribute to the development of robust strategies for safeguarding educational innovations in an AI-driven era.