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p-Index From 2020 - 2025
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All Journal Journal of Legal and Cultural Analytics (JLCA) International Journal of Environment, Engineering, and Education Language, Technology, and Social Media
Ismail, Aneta
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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AI-Powered Approaches for Sustainable Environmental Education in the Digital Age: A Study of Chongqing International Kindergarten Arif, Muhammad; Ismail, Aneta; Irfan, Sadia
International Journal of Environment, Engineering and Education Vol. 7 No. 1 (2025)
Publisher : Three E Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55151/ijeedu.v7i1.184

Abstract

The integration of technology into education has garnered significant interest, particularly in its potential to support environmental sustainability. This exploratory research investigates the role of artificial intelligence (AI) in early childhood education, with a focus on its implementation at Chongqing International Kindergarten to teach sustainability concepts. Guided by Mezirow’s Theory of Transformative Learning and Goleman’s concept of Ecological Intelligence, the study explores how AI-powered tools—including virtual ecosystems, real-time feedback systems, and eco-conscious behavior tracking mechanisms—enhance critical reflection, foster ecological intelligence, and promote environmentally responsible behaviors among young learners. A qualitative case study approach was employed, incorporating classroom observations, educator interviews, and pre-and post-assessments to evaluate engagement, environmental awareness, and behavioral changes. The findings reveal that AI tools significantly enhance environmental literacy, helping children understand the consequences of their actions and encouraging them to adopt sustainable practices. Interactive and personalized learning experiences AI provides stimulate critical thinking, transform sustainability-related values, and foster a deeper understanding of ecological interconnections. Students demonstrated improved awareness of sustainability concepts, such as resource conservation and biodiversity, alongside increased engagement in eco-friendly behaviors, including recycling and energy conservation. This research highlights the transformative potential of AI in early education, demonstrating its capacity to influence children's attitudes and behaviors toward environmental responsibility. Integrating AI-driven educational tools into sustainability curricula is crucial for cultivating a generation capable of making informed environmental decisions. The study concludes by recommending further exploration of AI's role in early education to optimize its impact on fostering long-term ecological intelligence and transformative learning.
The Impact of AI-Driven Tools on Foreign Students’ Chinese Language Acquisition: A Case Study at Southwest University Arif, Muhammad; Ismail, Aneta; Aqib, Muhammad; Rhaman Shaoan, Mirajur; Ali, Wazir; Uzochukwu Okafor, Miracle
Language, Technology, and Social Media Vol. 3 No. 1 (2025): June 2025 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v3i1.165

Abstract

This study explores the use of AI-powered tools such as language learning applications, chatbots, adaptive learning systems, and speech recognition software in the context of Chinese language acquisition by international students. Using a qualitative phenomenological approach, the study investigates how fifteen international students at Southwest University engaged with these tools, the challenges they encountered, and how such technologies shaped their linguistic development and cultural integration. Data were gathered through semi-structured interviews, focus group discussions, and reflective journals, and were analyzed thematically. The findings indicate that 80% of participants reported improved speaking confidence, 75% experienced enhanced listening comprehension, and 85% found chatbot-based interactions engaging. However, 65% of students noted insufficient cultural immersion and contextual learning in AI tools. Based on these insights, the study recommends integrating culturally immersive features such as virtual simulations and role-play into AI systems. It concludes that while AI tools can personalize and accelerate language acquisition, their impact can be maximized when aligned with cultural learning, supporting not only proficiency but also meaningful intercultural communication.
Pakistan's Diplomatic Maneuvering: Facilitating Sino-American Rapprochement in 1971-72 - A Historical Approach Ismail, Aneta; Arif, Muhammad; Yong, Wang; Weihong, Wang
Journal of Legal and Cultural Analytics Vol. 3 No. 4 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jlca.v3i4.12499

Abstract

This paper examines the vital role, which Pakistan played in bringing about the Sino- American normalization in 1971-72. The study shall add to Cold War diplomacy by uncovering Pakistan’s strategic location that facilitated top secret negotiations that escalated to Dr. Henry Kissinger’s visit to Beijing followed by President Nixon. As such, this research, based on the analysis of declassified documentation, memoirs, and oral histories analyzes the change in perceptual categorization of Pakistan from a minor to a gross strategic actor. This concern focuses the historical research for the period of 1971-72 and it uses historiographical sources. Findings indicate that Pakistan’s role in geopolitics specifically highlights the significance of the role of small states in major diplomatic shifts during the Cold War.
Co-Authors Ali, Wazir Aqib, Muhammad Irfan, Sadia Muhammad Arif Rhaman Shaoan, Mirajur Uzochukwu Okafor, Miracle WANG Yong Weihong, Wang