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Title: Impact of Generative AI (ChatGPT, Gemini, Copilot) on Learning Efficiency in the Indian Education System

Abstract: Generative Artificial Intelligence (GenAI) has emerged as one of the most influential technological developments shaping modern learning environments. Tools such as ChatGPT, Google Gemini, and Microsoft Copilot are increasingly being used by Indian students and teachers for explanation, summarization, content generation, and academic support. This study examines how these tools influence learning efficiency in the Indian education system. Using a mixed-method design consisting of a structured student–teacher survey and focused interviews, the study explores changes in understanding, productivity, doubt-clearing, academic confidence, and skill development. Findings reveal that GenAI significantly enhances conceptual clarity, reduces learning time, and supports self-paced learning. However, concerns remain regarding over-dependence, misinformation, ethical use, and unequal access. The paper concludes with recommendations for responsible AI integration in Indian classrooms.

By Shantam Babbar, Rajesh Kumar Raju, Monika Kumari
In Volume: 14,Issue: 2
Title: Minimizing the Impact of U.S. Tariffs on India’s Economic Growth: Strategic Responses and Policy Recommendations

Abstract: Due to imports of goods and particularly textiles, gems, seafood, and electronics, the United States presents tariff levels that are very high to Indian exports and this presents a great challenge to Indian trade balance and GDP. This paper will examine the economic effects of these tariffs, examine the bilateral trade pattern between India and the U.S., and provide an internal policy action to alleviate the effect. It also analyses strategic potential of the India UK Free Trade Agreement (FTA) as hedge against U.S trade headwinds. By quantitatively supported thought and sectoral knowledge, the paper draws a plan on how India can be resilient in exports and its economy.

By Nakshatra Gupta
In Volume: 14,Issue: 2
Title: Executive Clemency in South Asia: Scope and Limits of Pardoning Power in SAARC Nations

Abstract: Within the nations of the South Asian Association for Regional Cooperation (SAARC), the Constitutional power of pardon, which has historically been defended as a tool of mercy and remedial justice, has become a site of administrative excess and constitutional tension. Despite being universally vested in the head of state, the region's use of this power often deviates from its humanitarian justification and serves as a politically useful instrument that erodes public trust in criminal justice systems, judicial finality, and equality before the law. The legislative framework enabling executive clemency in SAARC member states-India, Pakistan, Bangladesh, Nepal, Sri Lanka, Bhutan, Maldives, and Afghanistan is examined critically and comparably in this paper. Through a doctrinal analysis of recent and significant case laws such as A.G. Perarivalan v. State of Tamil Nadu, 2022, Bal Krishna Dhungel (Nepal), 2018 and contentious presidential pardons in Sri Lanka and Bangladesh, the study reveals recurring patterns of partisan misuse of mercy powers, arbitrariness, and opacity in jurisdictions lacking significant judicial or statutory constraints. The paper argues that constitutional democracies dedicated to upholding the rule of law, the current deference to executive discretion is normatively untenable. It contends that limited but principled judicial review, combined with procedural protections such as reason-giving, victim engagement, and independent clemency advisory procedures, is required to keep clemency from devolving into an instrument of impunity. The study concludes by suggesting a reform-oriented constitutional framework and regionally harmonized norms for recalibrating executive mercy within the parameters of legality, accountability, and democratic legitimacy.

By Faraha, Sadaf Ansari
In Volume: 14,Issue: 2
Title: The Impact of Pawnbroking on Local Communities with special reference to Bangladesh

Abstract: This study examines pawnbroking's impact on social entrepreneurship and its implications for social development. It posits that Pawnbroking aids vulnerable entrepreneurs, often excluded from formal credit, in accessing quick financial resources, thereby enhancing social entrepreneurship. Through a meta-analysis and literature review, including three case studies from Bangladesh, the findings indicate that, despite exploitative practices, pawnshops are vital for providing the impoverished with financial access and supporting social welfare. However, risks such as asset loss, debt cycles, and exploitation of desperate borrowers are also highlighted. The study emphasizes the need for regulatory oversight and more accessible financial systems that protect borrowers while maintaining accessibility. Overall, pawnbroking offers both advantages and challenges for local communities in Bangladesh, necessitating a balance between quick cash access and consumer protections to promote healthier community dynamics.

By José G. Vargas-Hernández, Amina Khatun, Csongor Czipf, Absalón J. Salmerón-Zapata
In Volume: 14,Issue: 2
Title: Impact of Generative AI (ChatGPT, Gemini, Copilot) on Learning Efficiency in the Indian Education System

Abstract: Generative Artificial Intelligence (GenAI) has emerged as one of the most influential technological developments shaping modern learning environments. Tools such as ChatGPT, Google Gemini, and Microsoft Copilot are increasingly being used by Indian students and teachers for explanation, summarization, content generation, and academic support. This study examines how these tools influence learning efficiency in the Indian education system. Using a mixed-method design consisting of a structured student–teacher survey and focused interviews, the study explores changes in understanding, productivity, doubt-clearing, academic confidence, and skill development. Findings reveal that GenAI significantly enhances conceptual clarity, reduces learning time, and supports self-paced learning. However, concerns remain regarding over-dependence, misinformation, ethical use, and unequal access. The paper concludes with recommendations for responsible AI integration in Indian classrooms.

By Shantam Babbar, Rajesh Kumar Raju, Monika Kumari
In Volume: 14,Issue: 2