Environmental Burden and AI Ethics: Developing Quality Education
Authors: Tahmid Zaman and Muslima ZahanAffiliation: North South University, BangladeshConference: THE 2026Venue: Independent University, BangladeshDate: 12–13 June 2026 Generative AI tools such as ChatGPT are rapidly becoming part of higher education, reshaping how students learn, write, and complete academic tasks. However, the misuse of AI also raises serious concerns about learning quality, fairness, academic integrity, and institutional trust. This study examined the frequency and patterns of AI misuse among undergraduate students in Bangladesh and explored its impact on learning outcomes and the educational environment. Using a quantitative cross-sectional survey of 1,700 Bangladeshi undergraduate students, the research measured AI misuse, AI consumption intensity, learning outcomes, ethical awareness, and educational environmental burden. The paper also applied an adapted IPAT framework to explain AI misuse as a broader systemic burden rather than only individual misconduct. The findings show that AI use is now common and normalized among students, while misuse appears at a moderate level. The results partially support the idea that AI misuse increases educational environmental burden and that higher AI consumption can be linked with weaker learning outcomes. However, ethical awareness was not found to significantly moderate the relationship, suggesting that awareness alone may not be enough without proper institutional policies, assessment redesign, and responsible AI-use guidelines. Download Conference Proceedings
Customer Responsiveness and Rivalry: A Strategic Implication on Chinese Cuisine in Bangladesh
Authors: Dr. Muslima Zahan, Thamid Thasin , Samwati K Zahan , & Abir Khan Abstract: In Bangladesh, apart from Bangladeshi Dishes, Chinese cuisines achieves its first position to serve authentic and fusion dishes. From a Google form survey, n=1,922 and using snowball sampling, primary data is collected and analyzed to generate some descriptive statistics as well as two multivariate regression are conducted to accept null hypotheses. This study shows that Customer Responsiveness comprised with Authentication & Adaptation, Service Quality & Fair Price, Continuous Innovation, Diversification and Social Media engagement as well as Rivalry (intense competition) comprised with Innovators & Early Adopters, Early Majority, Mature Industry, Niche and Global Strategy have significant influence on the strategic shift, customer retention, competition and sustainable operation.