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This Author published in this journals
All Journal Civil and Sustainable Urban Engineering Acta Pedagogia Asiana
Kuok Ho Daniel Tang
Department of Environmental Science, The University of Arizona, Tucson, AZ 85721, USA
Civil Engineering, Building, Construction & Architecture Education Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation Other

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Valorization of Plastic Waste through Incorporation into Construction Materials Kuok Ho Daniel Tang
Civil and Sustainable Urban Engineering Vol. 2 Iss. 2 (2022)
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/csue.v2i2.141

Abstract

The growing plastic pollution has prompted the quest to reduce plastic waste sustainably and control the mismanaged plastic stream. The valorization of plastic waste through reusing and recycling has received much attention as a sustainable solution to the global plastic problem, and the construction sector provides an important avenue for such an endeavor. This review aims to present the latest advances in the valorization of plastic waste as construction and building materials through the review of 60 relevant scholarly papers and a content analysis of the papers. In the construction sector, plastic waste can be valorized as additives or raw materials for brick production. As additives, plastic waste is added at different proportions (1%–70%) with other materials, including non-plastic waste, followed by curing to acquire the desired properties. Plastic waste is used as a raw material to contain strength-imparting materials. The former has been reported to have good strengths (5.15-55.91 MPa), chemical, and thermal resistance, whereas the latter may impart lower strengths (0.67-15.25 MPa). Plastic waste is also used as additives for road pavement, primarily as substitutes for concrete-making materials, and was observed to produce desirable strengths (0.95–35 MPa) at appropriate proportions (0.5–25%), indicating the importance of optimizing the plastic contents in the concrete. Plastic waste has been recycled as plastic lumber, plastic-based door panels and gates, as well as insulation materials. Plastic-based construction materials are generally lightweight, resistant to chemicals and heat, and have good sound insulation, but they may pose a fire safety concern.
AI-Augmented Student-Centered Learning: Personalization and Agency Kuok Ho Daniel Tang
Acta Pedagogia Asiana Volume 5 - Issue 2 - 2026
Publisher : Tecno Scientifica Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/apga.v5i2.1107

Abstract

Artificial intelligence (AI) is increasingly integrated into educational environments and is widely recognized as a transformative technology for advancing Student-Centered Learning (SCL). By enabling adaptive instruction, real-time feedback, and learning analytics, AI systems can personalize learning experiences and address diverse learners’ needs. This review synthesizes current research on how AI contributes to key dimensions of SCL, including adaptive content delivery, data-driven feedback, learner agency, and human–AI collaboration. The literature indicates that AI-powered educational technologies can enhance engagement, facilitate individualized learning pathways, and support self-regulated learning by providing timely insights into performance, progress, and learning strategies. Learning analytics and intelligent tutoring systems further allow instructors to better understand learners’ behavior and tailor instructional support, strengthening alignment between teaching practices and students’ needs. However, integrating AI into SCL environments also presents several challenges. Concerns have emerged regarding cognitive offloading and overreliance on AI systems, which may reduce learners’ active problem-solving and critical thinking if not carefully managed. Issues related to algorithmic transparency, data privacy, and equitable access also remain important considerations as educational institutions increasingly depend on data-driven technologies. Moreover, educators continue to play a critical role in guiding the effective use of AI and ensuring that technology enhances rather than replaces meaningful learning processes. By and large, AI has substantial potential to strengthen SCL when implemented as a transparent, supportive pedagogical tool. Effective integration requires balancing algorithmic guidance with learner autonomy and maintaining strong human oversight. Future research should examine long-term impacts on learner agency and self-regulation and develop pedagogical frameworks that support responsible human–AI collaboration in student-centered education.
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