Volume 13 | Issue 10

 Abstract

Physics derivations are a challenging aspect of the 9th-grade curriculum, requiring conceptual understanding, mathematical reasoning and step-by-step problem-solving skills. Many students struggle with derivations due to weak math skills, reliance on memorization and ineffective teaching methods, resulting in low confidence and poor academic performance. This action research employed a one-group pre-test and post-test experimental design with six 9th-grade students to identify difficulties and implement targeted interventions. Three activity-based strategies-"Pathway to Solving Physics Derivation," "Match the Following," and "From Formula to Solution" were implemented. Post-test results indicated significant improvement in students' problem-solving accuracy, logical reasoning, conceptual understanding and confidence. The study highlights the effectiveness of visual aids, activity-based learning and stepwise instruction in enhancing students' derivation skills in physics.

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Physics derivations, Mathematical Reasoning, Activity-Based Learning, Stepwise Problem-Solving, Visual Aids, Problem-Solving Skills, Confidence in Physics

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Hygiene is a vital component of adolescent health, influencing both immediate well-being and lifelong habits. This study aimed to assess and enhance awareness of hygienic practices among secondary school students of Sri Siddeshwara High School, Vijayanagar, Mysuru. Using a descriptive quantitative approach, 24 eighth-grade students were observed over five weeks through structured checklists. Interventions included orientation sessions, video-based awareness, cleanliness and drawing competitions, dramatization and distribution of hygiene kits. Post-intervention analysis showed notable improvements across personal, hand, clothing, food, environmental and health hygiene practices, with an average increase of 23-34%. Findings highlight the effectiveness of structured hygiene education in fostering positive behavioral change. The study underscores the need for collaborative efforts by educators, parents and policymakers to sustain hygiene awareness, ensuring healthier, disciplined and responsible adolescents.

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Hygiene awareness, Personal hygiene, Environmental hygiene, Health Education, Behavioral change, Hygiene interventions, Adolescent health, WASH practices

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Algebra is a fundamental branch of mathematics that enhances logical thinking, reasoning and problem-solving skills. Yet, many middle school students find it difficult to connect algebraic expressions and identities to real-life situations, making learning abstract and less engaging. To address this, an Action Research study was undertaken to bridge this gap through activity-based learning. The study involved 24 students of Class 8 from Kamadhenu Convent, Basavanagudi, Mysuru (Hebbal cluster, Mysuru North block). The tools used were a Pre-test, Post-test, observation checklist and student feedback form to assess understanding, participation and attitude before and after the intervention. The research had three phases: Pre-test, intervention through two real-life-based activities and Post-test. The Pre-test results showed 18 students scored above 10 out of 20, while 6 scored 10 or below. To support weaker learners and reinforce concepts for all, three activities-Algebra in Cooking, Match the Expressions and Algebra in Shopping were conducted. These activities encouraged students to observe, analyze and apply algebra in real contexts. The Post-test showed clear improvement among the 6 initially low scorers and further progress among the 18 others. Observation and feedback revealed higher engagement, confidence and motivation. Students stated that activities made algebra more practical, enjoyable and understandable. The findings confirm that activity-based learning effectively connects abstract algebra with real life, improving retention and application. It is suggested that teachers adopt real-life examples and interactive methods, while policymakers promote flexible, experiential curricula. The research concludes that such approaches make algebra more meaningful and engaging.

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Algebraic Expressions, Real-life learning, Activity-based learning, Identities, Student engagement, Experiential learning.

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The rapid advancement of Artificial Intelligence (AI) has transformed the teaching-learning process from traditional teacher-centered approaches to technology-integrated, learner-centered methods. This study explores the AI readiness and ethical attitudes of B.Ed. trainees, focusing on their awareness, confidence, and moral responsibility in integrating AI into educational practices. A descriptive survey design was employed, involving 51 randomly selected teacher trainees. Data were analyzed using statistical tools such as mean, frequency, and range. The findings revealed a moderate level of AI literacy (mean = 2.44), indicating limited conceptual understanding and technical competence. However, trainees exhibited strong AI readiness and highly positive ethical attitudes, reflecting enthusiasm toward adopting AI tools responsibly. Postgraduate and science-stream trainees demonstrated higher AI literacy and readiness compared to their graduate and arts counterparts, though ethical awareness remained high across all groups. The study emphasizes the importance of incorporating structured AI training, workshops, and practical exposure into teacher education curricula. It concludes that while B.Ed. trainees possess commendable ethical sensitivity and willingness to adopt AI, their limited technical proficiency necessitates targeted interventions to enhance AI literacy and techno-pedagogical competence. Strengthening experiential learning and ethical digital education is essential for preparing future educators to effectively and responsibly integrate AI in teaching and learning environments.

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 Keywords

Artificial Intelligence, AI Readiness, Ethical Attitudes, Teaching- Learning Process, Techno-Pedagogy

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The concept of percentage is fundamental in mathematics and essential for real-life applications, yet many Class 8 students struggle to understand and apply it effectively. This action research aimed to identify the difficulties faced by students in learning percentages and implement activity-based teaching strategies to enhance conceptual understanding. A sample of 13 students from Vasavi Vidyanikethana, Mysuru, who scored below average in a pre-test, participated in interventions such as "Know Your Scores," "Discount Shopping Simulation," "Real-Life Bill Analysis," and "Pie Chart Art." Pre- and post-tests revealed significant improvements, with students' scores increasing by 20% to 45%, indicating enhanced comprehension, practical application, and confidence. The study highlights the effectiveness of experiential, visual, and real-life-based strategies in fostering mathematical understanding, problem-solving skills, and positive attitudes toward learning percentages. These findings underscore the need for innovative, student-centered teaching approaches to strengthen conceptual clarity and promote lifelong mathematical skills.

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Percentage, Experiential Learning, Activity-Based Teaching, Real-Life Applications, Visual Learning, Problem-Solving Skills

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This action research study investigated the effectiveness of active learning strategies in enhancing the conceptual understanding of atoms and molecules among 8th standard students. The study addressed the persistent challenge of teaching these abstract concepts, which are often difficult for students to visualize and comprehend through traditional lecture methods. A one-group pre-test post-test design was employed with a sample of 20 students from Government High School, Hinkal, Mysuru. Active learning strategies--including group activities and role play, 3D molecular model construction, animated simulations, and concept mapping were implemented over a period of four weeks. Pre-test results revealed low conceptual clarity with a mean score of 6.72, indicating significant learning gaps. Post-intervention results demonstrated substantial improvement, with the mean score increasing to 14.4. Students displayed enhanced visualization of atomic structures, active participation, and improved retention of scientific concepts. The study concludes that active learning strategies are effective in addressing misconceptions, improving comprehension of abstract concepts, and fostering student engagement in science learning. These findings underscore the importance of integrating interactive, student-centered teaching methods into science classrooms to improve conceptual understanding and learning outcomes.

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Active Learning Strategies, Atoms and Molecules, Role Play, 3D Models, Animated Simulations, Concept Mapping, Student Engagement.

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The study explores the unique characteristics, learning preferences and engagement strategies suitable for Generation Z learners, born between 1997 and 2012. Raised in a digital-first environment, Gen Z values authenticity, inclusivity, purpose-driven engagement and flexible learning. Traditional teaching methods often fail to address their needs, creating gaps in conceptual understanding, motivation and skill development. This action research employed quantitative methodology and experimental design, incorporating teaching-learning materials, storytelling, collaborative learning, role play and digital tools to enhance cognitive, affective and psychomotor learning domains. Pre- and post-test analyses demonstrated significant improvements in conceptual clarity, retention, engagement, creativity and 21st Century skill development. The findings underscore the importance of integrating technology, interactive pedagogies, experiential learning and value-based education to foster holistic development and prepare Gen Z students for academic, emotional and social success. The study provides actionable recommendations for educators to adopt innovative, student-centered and digitally enhanced teaching strategies that resonate with the evolving mindset of Generation Z learners.

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Generation Z, Digital Natives, Experiential Learning, 21st Century Skills, Interactive Teaching, Conceptual Understanding, Value-Based Education

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This action research investigates the challenges faced by secondary school students in solving numerical problems related to Force and Laws of Motion in Physics. Despite understanding the theoretical concepts, many students struggle to apply them effectively due to issues such as memorization without comprehension, poor visualization skills, confusion with sign notations and weak connections between real-life situations and numerical problems. A sample of 12 students from Kannika Cauvery School, Mysuru, was selected. A pre-test was conducted to assess their existing problem-solving skills, followed by intervention strategies including role play and visualization and simulation techniques. After the intervention, a post-test was administered to measure improvement. Statistical analysis revealed that the mean score increased from 4.66 to 13, indicating a 41.12% improvement in performance. The findings highlight that interactive and visual learning strategies effectively bridge the gap between theory and application, enhance students' problem-solving skills and reduce anxiety associated with numerical problem solving. This study emphasizes the importance of innovative teaching methods in strengthening conceptual understanding and promoting active engagement in Physics classrooms.

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Numerical problem solving, Force and Laws of Motion, Visualization, Conceptual Understanding, Teaching Strategies, Problem-Solving Skills.

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Artificial intelligence AI has emerged as a transforming force reshaping contemporary organisation life and redefining the contours of human resource management HRM. The convergence of digital intelligence and human capital functions present both and unprecedented opportunity for strategic value creation and a profound ethical dilemma regarding concepts like fairness transparency and autonomy. This paper takes a comprehensive review of the extent literature on artificial intelligence integration into HRM processes which emphasizes its dualistic nature as both and enabler of efficiency and potential disruptor of ethical equilibrium. And curd in socio technical and ethical decision-making theories, the paper landscape of AI in HRM, identify major thematic domains.

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: Artificial Intelligence, Human Resource Management, Algorithmic Bias, Ethical Governance, Responsible HR Analytics, Employee Trust.

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Abstract This study explores the dynamics of grassroots mobilization and popular resistance in Eastern Uttar Pradesh during the Revolution of 1857, emphasizing the active participation of peasants, artisans, and marginalized groups. Moving beyond elite-cantered narratives, it highlights how local grievances, stemming from oppressive land policies, economic exploitation, and cultural disruptions fuelled widespread rebellion against colonial authority. The research examines the formation of local networks, the role of village leaders, and the convergence of social and religious sentiments that sustained the revolutionary spirit. It argues that the movement in Eastern Uttar Pradesh was not merely a military uprising but a collective expression of socio-economic and political discontent rooted in local realities. By analysing archival records, folk traditions, and regional accounts, this paper situates the revolution as a people's struggle that redefined notions of resistance and challenged the colonial order at its grassroots level.

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Keywords: Grassroots mobilization, Popular resistance, Eastern Uttar Pradesh, Revolution of 1857, Peasants and artisans, colonial oppression, Local leadership

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Afghanistan is composed of diverse ethnic groups, religions, and languages, which makes its identity very complex. Afghanistan, being the site of major political tension and prolonged conflict, people often feel separated from their tradition and modern life, especially when they live in other countries as refugees or migrants. Khaled Hosseini's The Kite Runner is often interpreted through the lens of trauma, guilt, and migration. This paper instead considers the novel as a repository of Afghan environmental memory and eco-cultural identity. It argues that the author stages everyday practices like kite- fighting, oral storytelling, hospitality codes, foodways, and neighborhood sociability as identity-making rituals ecologically embedded that persist even during war and exile. This study employs qualitative textual analysis to explore how the characters' engagement with indigenous practices shapes their identity. It reveals how afghan cultural memories can serve as sources of renewal rather than symbols of loss, extending Hosseini's work beyond trauma toward a culturally ecocritical reading of Afghan resilience and belonging.

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Khaled Hosseini, The Kite Runner, Ecocriticism, Lawrence Buell, Cultural Memory, Environmental Imagination, Identity, Redemption, Afghan Landscape.

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Persons with disabilities (PWDs) struggle with several challenges across various domains of their everyday lives, which severely impair their routine and quality of life. Several therapeutic interventions have shown improvement in various developmental areas of persons with disabilities. The current research was conducted on 17 individuals with intellectual disability with an aim to assess the effectiveness of Sports as a therapeutic intervention for improvement in developmental domains such as psycho-motor, social skills, communication skill, emotional and cognitive domains. The findings indicated that there is a significant improvement in the psycho-motor domain, social skills domain, communication skills domain and cognitive domain as a result of utilizing Sports as a therapeutic intervention. Except the emotional domain, Sports as an intervention displayed a significant positive correlation across domains in the next 3 and 6 months respectively.

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Sports, exercise, psycho-motor domain, social skills, communication skill, emotional domain, cognitive domain

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ABSTRACT This study develops an analytical framework derived from Gandhian economic principles-Swaraj (self-rule), Swadeshi (local self-reliance), Sarvodaya (welfare of all), and Trusteeship-to evaluate India's development trajectory following economic liberalization in 1991. Analysis of secondary data from Indian official sources (1991-2023) reveals significant disparities: wealth concentration (top 1% income share increasing from 11% to 22%), persistent agrarian distress despite workforce dependence, and substantial ecological costs. The study proposes three specific policy correctives derived from Gandhian principles: decentralized governance strengthening, sustainable agricultural transition, and ecological fiscal reforms. It argues for Gandhian economics as a complementary framework that addresses globalization excesses while preserving its benefits for sustainable and equitable development in India.

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Keywords: Gandhian Economics, Globalization, India Development, Sustainable Development, Economic Equity, Policy Correctives

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This study has been undertaken because as we know Proteins are central to biology, and their functions rely inextricably on their three-dimensional conformations. Although technologies such as AlphaFold have dramatically improved the prediction of structure using dazzling accuracy, they rely on Large-scale datasets and massive computing capacity, which frequently puts them inaccessibly outside of smaller labs, schools, and low-resource environments. To bridge this gap, we present Beta-Fold, an efficient and easy-to-use framework for the prediction of protein secondary structures specifically ?-helices, ?-sheets, and coils--directly from amino acid sequences. Utilizing a hybrid CNN-BiLSTM approach, Beta-Fold obviates the requirement for multiple sequence alignments (MSAs) and GPU-based computation. This allows for real-time prediction as well as interactive visualization via a simple web interface, making protein analysis more accessible and convenient in various research environments. Through reduced computational requirements, Beta-Fold has the potential to expedite applications in molecular diagnostics, drug discovery, and biomedical research. Directions for future work involve disease-specific case studies and incorporation into clinical bioinformatics pipelines with the ultimate aim of improving translational reach and enabling equitable access to protein modeling tools.

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Protein Folding, 3D Structure Prediction, Deep Learning, AlphaFold, Bioinformatics, Convolutional Neural Networks, Transformer Models, Molecular Visualization

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This paper presents a conceptual design and theoretical performance analysis of a sustainable footstep energy harvester using Polyvinylidene Fluoride/Barium Titanate (PVDF/BaTiO3) nanocomposite transducers.A compliant bridge-type mechanism is proposed to amplify footstep forces (assuming a 15x amplification factor) and maximize strain in the transducers, while ultra-low cold-start Power Management Integrated Circuits (PMICs) and supercapacitor storage are integrated for efficient energy capture.Theoretical voltage and energy per step are estimated using material properties from literature and plausible assumptions for transducer area, thickness, and force amplification.The study also outlines a conceptual IoT-enabled architecture for autonomous data collection and gait analysis using ultra-low-power microcontrollers.While no experimental validation has been performed, this framework provides a feasible blueprint for energy-autonomous smart flooring applications.

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Piezoelectric Nanocomposites, PVDF/BaTiO3, Compliant Mechanisms, Power Management ICs, Ultra-Low-Power IoT, Theoretical Performance Analysis, Force Amplification, Ultra-Low-Power Management IC (PMIC), Cold-Start Voltage, Supercapacitor, Sustainable Energy Harvesting.

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Differentiated Instruction (DI) has gained prominence as a pedagogical approach that caters to diverse student needs, learning styles, and abilities. This study explores teachers' readiness to implement DI strategies and their perceptions regarding its effectiveness in enhancing student learning. It examines factors such as confidence in designing DI-based strategies, perceived ease of implementation, and challenges such as class size, discipline, and cost-effectiveness. The study also investigates whether teachers believe DI fosters inclusivity and improves student self-esteem and retention. By analysing educator insights, this research aims to provide valuable recommendations for successful DI implementation in varied classroom settings.

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Differentiated Instruction, perceptions, implementation

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Abstract: Forest fires are becoming more frequent and intense worldwide due to climate change, human activity, and shifting environmental conditions. Rising temperatures, prolonged droughts, and land-use changes have significantly increased wildfire risks, causing severe ecological and economic losses. Early detection and reliable risk mapping are essential to minimize such impacts and enable timely response. However, conventional methods like ground observation or single-sensor monitoring often face limitations due to restricted coverage, delayed detection, and interference from clouds or smoke. This study proposes an artificial intelligence (AI)-based multi-sensor image fusion framework for early forest fire detection and risk assessment. The approach integrates thermal, optical, and radar satellite data from publicly available open-access sources to enhance spatial and temporal accuracy. Fusion is applied at pixel, feature, and decision levels, improving detection precision and minimizing false alarms. The results demonstrate that combining multi-sensor data with AI significantly improves early fire identification and mapping capabilities. The developed framework provides scalable, near-real-time monitoring suitable for various forest ecosystems. It supports faster emergency response, efficient resource deployment, and improved forest management practices, contributing to the development of smarter, data-driven wildfire mitigation systems

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Artificial Intelligence (AI), Forest Fire Detection Remote Sensing Satellite Imagery, Risk Mapping, Environmental Monitoring.

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Prophecy, Kirhupfümia and Sighting of Spirits as Elements of Magic Realism in Easterine Kire’s When the River Sleeps

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Easterine Kire, magic realism, spirits, supernatural, prophecy, faith-based magical realism

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The integration of Artificial Intelligence (AI) and Big Data into agricultural marketing is reshaping the agri-value chain by enabling precision-based decision-making, real-time forecasting, and sustainable market connectivity. Drawing from frameworks of zero-carbon and climate-smart agriculture, this study evaluates how digital data analytics and AI-driven platforms enhance transparency, profitability, and efficiency in Indian agriculture. Evidence from policy reports, institutional data, and field observations demonstrates that digital technologies significantly improve price discovery, reduce post-harvest losses, and empower smallholders. The findings position AI and Big Data as catalysts for transforming traditional agricultural marketing into a sustainable, inclusive, and data-centric ecosystem.

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Artificial Intelligence, Big Data, Climate-Smart Agriculture, Agricultural Marketing, Precision Farming, Digital Agriculture, Sustainable Development, India

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