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Archives Vol-17, Issue no. 1 ( SPECIAL ISSUE - JUNE 2026 )

TABLE OF CONTENTS

Paper Title:
ARTIFICIAL INTELLIGENCE IN ASSESSMENT OF PHYSICAL EDUCATION AND SKILL PERFORMANCE: A REVIEW
Author Name:
Amulya K. S. , Rajkumar P Malipatil
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21234199
Page No.:
1-4
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ARTIFICIAL INTELLIGENCE IN ASSESSMENT OF PHYSICAL EDUCATION AND SKILL PERFORMANCE: A REVIEW
Author: Amulya K. S. , Rajkumar P Malipatil

ABSTRACT
Artificial Intelligence (AI) has significantly transformed educational assessment, particularly in physical education (PE), where traditional evaluation methods are often subjective and limited in scope. This review paper examines the application of AI technologies such as machine learning, deep learning, and computer vision in assessing physical performance and skill development. Existing literature indicates that AI-driven systems enable objective, real-time, and data-driven evaluation by analyzing movement patterns, physiological data, and behavioural responses. These technologies enhance accuracy, reduce evaluator bias, and support personalized learning experiences. Furthermore, AI facilitates continuous monitoring and adaptive feedback, improving student engagement and skill acquisition. Despite these advantages, challenges such as data privacy concerns, high implementation costs, and limited technical expertise hinder widespread adoption. The review highlight

Paper Title:
EQUATION USING AI TOOLS
Author Name:
Anand G Puranik
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21234517
Page No.:
5-7
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EQUATION USING AI TOOLS
Author: Anand G Puranik

ABSTRACT:
Partial differential equations are widely used in all branches of science. Using PDE to construct mathematical model is a heuristic tool in many areas of sciences. Here in this paper, creation of a new mathematical model using PDE for a discrete data is used to represent a relationship between the various parameters of chemical compounds. We set a formula that connects topological indexes with the Physical properties of chemical compounds, using the above technique.
Keywords: PDE formation, Discrete Data, Scilab programing, Topological index, Mathematical Modelling, AMS classification

Paper Title:
SIGNIFICANCE OF CRITICAL PEDAGOGY IN ELT CLASSROOM FOR SUSTAINABLE SOCIAL ENVIRONMENT
Author Name:
Ananda K D
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21237747
Page No.:
8-11
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SIGNIFICANCE OF CRITICAL PEDAGOGY IN ELT CLASSROOM FOR SUSTAINABLE SOCIAL ENVIRONMENT
Author: Ananda K D

ABSTRACT:
ELT is one of the major areas of study among language learners and teachers. It encompasses several theoretical and conceptual frameworks related to how language is learnt and taught in varied contexts and at different levels. In India, English is taught as a second language at different levels of educational set up. However, a lot of complexities persist in the chalking out the content of study in teaching-learning of English as a second language as many a times students grapple with unfamiliarity of the content they are forced to read in terms of the subject matter and context of the text that seems to be alien for them. The reason behind this problem might be pointed at lack of exposure to culturally varied texts which are difficult to connect by our students. Thus, it is of paramount importance to select the content of their study which is backed by the principles of particularity, practicality and possibility and the contexts to which they could connect and learn effect

Paper Title:
THE LEGAL CONUNDRUM OF AI USAGE IN INDIA: AN ANALYSIS
Author Name:
Anitha K N
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21237798
Page No.:
12-21
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THE LEGAL CONUNDRUM OF AI USAGE IN INDIA: AN ANALYSIS
Author: Anitha K N

ABSTRACT
India stands at a critical inflection point in its relationship with Artificial Intelligence. As the world's most populous democracy and a rapidly emerging digital economy, India is simultaneously a massive consumer, an ambitious developer, and a prospective global standard-setter for AI technologies. Yet the country's legal architecture — spanning constitutional guarantees, sector-specific statutes, tort principles, and nascent regulatory instruments — was designed for an analogue era and is profoundly ill-equipped to address the multifarious challenges that AI systems pose. This article undertakes a comprehensive doctrinal and policy analysis of the legal conundrum surrounding AI usage in India. It examines five overlapping legal domains: data protection and privacy, intellectual property, civil and product liability, sector-specific regulation, and constitutional rights. Across each domain, the article identifies critical lacunae, contradictions, and interpretive ambiguiti

Paper Title:
THE AUTOMATION DIVIDEND: PROS, CONS AND ETHICAL RESPONSIBILITY FOR AI-DISPLACED WORKERS : A STUDY ON SELECTED INFORMATION TECHNOLOGY ENABLED SERVICE COMPANIES IN BENGALURU
Author Name:
Anthony Samson
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21237884
Page No.:
22-32
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THE AUTOMATION DIVIDEND: PROS, CONS AND ETHICAL RESPONSIBILITY FOR AI-DISPLACED WORKERS : A STUDY ON SELECTED INFORMATION TECHNOLOGY ENABLED SERVICE COMPANIES IN BENGALURU
Author: Anthony Samson

ABSTRACT
The rapid proliferation of Artificial Intelligence (AI) and automation technologies in India's Information Technology Enabled Service (ITeS) sector is fundamentally altering the human–machine relationship at the workplace. While automation promises significant productivity dividends, it simultaneously displaces routine and semi-routine job roles, generating workforce anxiety and diminishing cognitive autonomy. The present study investigates the pros and cons of AI-driven automation and the ethical obligations that accrue to employers when workers are displaced or reskilled. With job satisfaction as the dependent variable and AI-related cognitive factors (perceived autonomy, reskilling opportunity, ethical transparency, and decision-making freedom) as independent variables, the study surveyed 1,000 employees across 10 ITeS companies in Bengaluru using stratified random sampling. Factor analysis, Kruskal-Wallis tests, Pearson correlation, and multiple regression (Adjusted R² =

Paper Title:
AI-DRIVEN TRANSFORMATION IN HIGHER EDUCATION: A FACULTY PERSPECTIVE
Author Name:
Anupama B R
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21237956
Page No.:
33-41
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AI-DRIVEN TRANSFORMATION IN HIGHER EDUCATION: A FACULTY PERSPECTIVE
Author: Anupama B R

ABSTRACT
This study explores the significant effects of Artificial Intelligence (AI) on higher education through the lens of faculty. The main aim of the research is to investigate how AI is transforming educational practices and learning experiences, as well as examining the challenges and ethical concerns encountered by teachers. The research employs a descriptive and conceptual methodology, utilizing existing literature and thematic analysis to deliver a thorough insight into AI-induced transformations within the academic setting.
The article highlights important themes such as the use of AI in education via personalized learning, content creation, and evaluation tools; faculty attitudes regarding both advantages and apprehensions; difficulties associated with training, infrastructure, and resistance to transformation; and significant ethical matters like data privacy, academic honesty, and algorithmic bias. The analysis reveals that although AI improves efficiency, innovation, an

Paper Title:
ARTIFICIAL INTELLIGENCE IN ENGLISH LANGUAGE TEACHING AND WRITING: PEDAGOGICAL TRANSFORMATIONS, OPPORTUNITIES, AND CHALLENGES
Author Name:
Anuradha H.R.
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21238026
Page No.:
42-46
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ARTIFICIAL INTELLIGENCE IN ENGLISH LANGUAGE TEACHING AND WRITING: PEDAGOGICAL TRANSFORMATIONS, OPPORTUNITIES, AND CHALLENGES
Author: Anuradha H.R.

ABSTRACT
The rapid advancement of Artificial Intelligence (AI) has significantly reshaped educational practices across disciplines, including English Language Teaching (ELT) and writing instruction. This paper explores the integration of AI technologies in language learning environments, examining their impact on teaching methodologies, student engagement, writing development, and assessment practices. It analyses both opportunities and challenges associated with AI adoption, including issues of ethics, academic integrity, accessibility, and teacher roles. Drawing on current research and emerging trends, the paper argues that while AI holds transformative potential, its effectiveness depends on thoughtful implementation, pedagogical alignment, and critical awareness. The study concludes by offering recommendations for educators, policymakers, and researchers to harness AI responsibly and effectively in ELT and writing instruction.

Keywords: Artificial Intelligence, English Language

Paper Title:
ROLE OF AI-DRIVEN ONLINE MARKETING ECOSYSTEM IN SHAPING CONSUMER BUYING BEHAVIOR PATTERNS: AN EMPIRICAL STUDY
Author Name:
Ayisha Banu
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21238096
Page No.:
47-51
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ROLE OF AI-DRIVEN ONLINE MARKETING ECOSYSTEM IN SHAPING CONSUMER BUYING BEHAVIOR PATTERNS: AN EMPIRICAL STUDY
Author: Ayisha Banu

ABSTRACT
In today’s world online marketing has changed a lot. Now marketing is not about traditional methods and limited to just informing the people about the availability of the product and inducing them to purchase. It is about how businesses connect with people. There has been significant change in the way businesses communicate with consumers today, because of the advancements in technology, internet accessibility and AI which has given rise to an integrated online marketing ecosystem. This study looks at how AI driven components of this ecosystem like social media, online reviews, influencer marketing and personalized advertisements affect how people buy things. Primary data was collected from 50 respondents using a structured questionnaire asking about their buying habits. Study reveals that online reviews have the major impact on what people buy while Social media and personalized advertisements also play significant role. Influencers have some impact not much but they contrib

Paper Title:
AI-ASSISTED QSPR ANALYSIS OF RHEUMATOID ARTHRITIS DRUGS USING THE VL TOPOLOGICAL INDEX
Author Name:
Bharathi Shettahalli Nagaraje Urs
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21238178
Page No.:
52-59
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AI-ASSISTED QSPR ANALYSIS OF RHEUMATOID ARTHRITIS DRUGS USING THE VL TOPOLOGICAL INDEX
Author: Bharathi Shettahalli Nagaraje Urs

ABSTRACT:
Artificial Intelligence (AI)-supported computational methods play an important role in modern scientific research by helping researchers analyse molecular data and predict physio-chemical properties efficiently. In the present work, a quantitative structure-property relationship (QSPR) study of ten rheumatoid arthritis (RA) drugs was performed using the VL topological index and its transformed forms, namely √(VL(G) ), [VL(G)]², 1/VL(G), and 1/√(VL(G) ) . The study investigates the relationship between these descriptors and selected physio-chemical properties, including molar volume (MV), polarity (P), refractive index (RI), complexity (C), boiling point (BP), and enthalpy (E). Correlation analysis revealed that VL(G), √(VL(G) ), and [VL(G)]² exhibited strong positive associations with MV, P, RI, and C, whereas inverse descriptors showed negative correlations with the same properties. Among the descriptors, √(VL(G) )showed the strongest correlations with MV (r = 0.8645), P (

Paper Title:
A COMPREHENSIVE ANALYSIS ON ARTIFICIAL INTELLIGENCE IN SCIENCE AND TECHNOLOGICAL RESEARCH
Author Name:
Bharathi. Y. H
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21238338
Page No.:
60-68
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A COMPREHENSIVE ANALYSIS ON ARTIFICIAL INTELLIGENCE IN SCIENCE AND TECHNOLOGICAL RESEARCH
Author: Bharathi. Y. H

ABSTRACT
Artificial Intelligence (AI) is a vast array of computational algorithms that enable machines to perform tasks that typically require human intelligence. In scientific and technological research, these algorithms serve as a unified toolkit for tasks such as data analysis, modeling, simulations, and decision-making. By harnessing computer power and data-driven methods, AI facilitates the examination of intricate systems, automation, and a rise in innovation. This paper extensively reviews the evolution and uses of AI in fundamental scientific fields. Furthermore, it spotlights emerging research trends in science that incorporate AI techniques. The objective of this research is to provide guidance on utilizing AI approaches in scientific and technological research to better comprehend the state-of-the-art developments.

Keywords: Artificial Intelligence, Machine Learning, Scientific Research, Technological Innovation, Automation, Data-Driven Discovery.

Paper Title:
ETHICAL AI AND CONSUMER TRUST PARADOX: ENHANCING ORGANIC FOOD BRANDING IN KARNATAKA
Author Name:
Bhavya C , Harisha N.
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21238618
Page No.:
69-78
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ETHICAL AI AND CONSUMER TRUST PARADOX: ENHANCING ORGANIC FOOD BRANDING IN KARNATAKA
Author: Bhavya C , Harisha N.

ABSTRACT
Artificial Intelligence (AI) is one of the most dynamic and influential forces shaping the global economy, moving beyond basic digital work to become a strategic partner in "Enterprise Intelligence 5.0" (Magsi et al., 2026). In Karnataka, a leader in India’s organic farming, the state has established itself as an organic powerhouse with approximately 1.2 lakh hectares of land under certified cultivation (KSDA, 2025). This study examines how organic food brands in Karnataka can utilize ethical AI to foster authentic consumer trust, positioning technology as a strategic partner designed to enhance information transparency and supply chain reliability (Wang, 2026). The paper aims to analyze the challenges of "greenwashing" and the "AI Trust Paradox," where consumer trust significantly diminishes if an AI interface appears overly anthropomorphized or intrusive (Nie et al., 2026). By synthesizing reports and secondary data from 2021 to 2026 with a focus on Bengaluru, Mysuru, Mandy

Paper Title:
IMPACT OF ARTIFICIAL INTELLIGENCE ON EDUCATION
Author Name:
Boregowda S B
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21238711
Page No.:
79-84
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IMPACT OF ARTIFICIAL INTELLIGENCE ON EDUCATION
Author: Boregowda S B

ABSTRACT:
While no one knows how AI will shape the future, we can all agree on one thing: AI is one of the most important technologies in the world today that is already at work in our everyday lives, influencing everything from online dating to our shopping habits. But how will this technology affect work in the future? What will be the result? A permanent class of people who can not find work because their jobs have been automated? An economy where super-intelligent computers compete to one day take over the planet? What is happening to people, how do we transform and adapt our education systems to be consistent with the digital age? According to research, by the mid-2030s, one third of all employees will be exposed to the risk of being automated, and the labor force segment most likely to be affected is people with a low level of education (Vimal 2022). Education can change everything in the sense that human reasoning will continue to be necessary, at least at every level and in a

Paper Title:
THE WORKING OF UNESCO IN PROTECTING ETHICAL VALUES IN AI
Author Name:
Chandraprabha G V , Supriyaa
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21238991
Page No.:
85-92
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THE WORKING OF UNESCO IN PROTECTING ETHICAL VALUES IN AI
Author: Chandraprabha G V , Supriyaa

ABSTRACT:
The dynamic position of AI (Artificial Intelligence) in global landscape spheres including agriculture, pharmaceuticals, education, defence and more made it essential in upgrading the technology into it. But maintaining ethical values emphasizing the need for robust ethical frameworks and proactive strategies to mitigate biases and ensure equitable outcomes. In this view, this paper attempts to study the detailed working of UNESCO in protecting the ethical values in areas such as health and social well-being, education and research, communication and information, economy and labour, culture, environment and ecosystem, gender development and international cooperation, data policy, ethical governance and more. Paper also concentrates on the policy recommendation with Indian context where how the AI risk based analysis and legal reviews are taken and operationalising the ethical AI in India, where it also includes Central and state coordination with respect to strengthening th

Paper Title:
ETHICAL AI IN TEACHING & RESEARCH
Author Name:
Channamma. M
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21239164
Page No.:
93-98
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ETHICAL AI IN TEACHING & RESEARCH
Author: Channamma. M

ABSTRACT
Artificial Intelligence (AI) is transforming education systems across the globe, including India. From automated grading systems to personalized learning platforms, AI has become an integral part of teaching, learning, and research. However, the rapid adoption of AI also raises significant ethical concerns such as data privacy, bias, academic integrity, and over-dependence on technology. This research paper focuses on developing a human-centered ethical framework for the use of AI in education, pedagogy, and research methodology.
The study highlights how AI can enhance learning outcomes when used responsibly. It examines the ethical principles of transparency, accountability, fairness, inclusivity, and data protection in the context of educational institutions. Special attention is given to the Indian higher education ecosystem, where digital transformation is growing rapidly through initiatives like NEP 2020 and Digital India.
This paper adopts a qualitative and conceptual

Paper Title:
THE ROLE OF ARTIFICIAL INTELLIGENCE WITH SPECIFIC REFERENCE TO LABOUR STUDIES
Author Name:
Chethana S.B
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21239353
Page No.:
99-103
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THE ROLE OF ARTIFICIAL INTELLIGENCE WITH SPECIFIC REFERENCE TO LABOUR STUDIES
Author: Chethana S.B

ABSTRACT:
Artificial Intelligence (AI) is rapidly transforming the global labour landscape by reshaping the nature, organization, and regulation of work. This article presents a critical analysis of AI technology through its application to labour studies, demonstrating its diverse impact on employment patterns, workforce capabilities, workplace efficiency, and industrial relations. The research demonstrates that AI-based automation systems create employment opportunities in advanced technological roles while they simultaneously eliminate jobs from standard work and entry-level positions. The dual impact of this phenomenon has led to fundamental alterations in work environments, resulting in two distinct patterns of work: skill-based categorization and continuous workforce development.
The article investigates how AI affects organizational productivity and employee efficiency because AI organizational processes and decision-making abilities lead to improved productivity, but create ad

Paper Title:
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON SOCIAL INEQUALITY: CHALLENGES AND OPPORTUNITIES
Author Name:
Chikkaraju C
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21239537
Page No.:
104-108
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON SOCIAL INEQUALITY: CHALLENGES AND OPPORTUNITIES
Author: Chikkaraju C

ABSTRACT:
Artificial Intelligence (AI) is rapidly transforming economies and societies, reshaping how resources, opportunities, and power are distributed. This paper examines the impact of AI on social inequality, highlighting both the challenges and opportunities it presents. On one hand, AI systems can exacerbate existing inequalities through job displacement, particularly among low- and middle-skilled workers, and through algorithmic bias that may reinforce discrimination in areas such as hiring, lending, and law enforcement. Additionally, unequal access to digital infrastructure and data resources further widens the gap between advantaged and marginalized populations.
On the other hand, AI also offers significant potential to reduce inequality by improving access to essential services, including healthcare, education, and public welfare. AI-driven tools can enhance decision-making, optimize resource allocation, and support inclusive development when designed and implemented respo

Paper Title:
RESPONSIBLE AI PRACTICES IN DIGITAL MARKETING: ETHICAL ISSUES, CONSUMER PRIVACY AND TRUST
Author Name:
Dakshayini B S , Kavitha Yadav S K
Country:
India
DOI:
https://doi.org/10.5281/zenodo.21239672
Page No.:
109-120
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RESPONSIBLE AI PRACTICES IN DIGITAL MARKETING: ETHICAL ISSUES, CONSUMER PRIVACY AND TRUST
Author: Dakshayini B S , Kavitha Yadav S K

ABSTRACT:
The role of artificial intelligence in digital marketing and consumer data analytics for personalized advertising, predictive analysis and automated customer engagement has become integral. The increasing use of marketing systems driven by AI may be advantageous but also raises ethical concerns regarding privacy, transparency, data misuse and consumer manipulation. This research paper will look into the ethical issues surrounding the utilization of AI in digital marketing. The researcher selected 250 respondents using the convenience sampling method for conducting the study among consumers in Bengaluru. The objectives of the study are to determine the ethical issues concerning unethical AI-driven digital marketing practices; to investigate consumer perceptions with regard to privacy and transparency in AI-based marketing systems; to evaluate the impact of responsible AI practices on consumer trust and satisfaction. Primary data were collected through a structured questionnai

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