How Effective is Origami as a Pedagogical Tool for Teaching Geometric Concepts Compared to Traditional Methods
This review paper examines the effectiveness of origami as a pedagogical tool for teaching geometric concepts in comparison to traditional instructional methods. Geometry is often perceived as abstract and difficult for students to grasp through conventional approaches that rely heavily on definitions and rote learning. In response, educators have explored origami as a hands-on and visual strategy to enhance understanding. This paper analyses multiple teaching approaches that incorporate origami, including algorithmic instruction, language-based methods, collaborative learning, and problem-solving frameworks. The findings suggest that origami can significantly improve conceptual understanding, spatial reasoning, and student engagement when implemented with clear pedagogical intent. In particular, approaches that integrate discussion, reasoning, and mathematical language are found to be the most effective. However, the review also identifies limitations, including the lack of long-term empirical evidence and the dependence on teacher expertise. Overall, origami emerges as a flexible and powerful instructional tool that, when thoughtfully applied, can make geometry more accessible, interactive, and meaningful for learners.
Published by: Sachit Venkatesh
Author: Sachit Venkatesh
Paper ID: V12I2-1231
Paper Status: published
Published: April 10, 2026
Design and Development of a Portable Generator Using Scrap Materials
The rapid growth of small and medium-scale industries has increased the demand for compact, efficient, and cost-effective internal material-handling solutions. Traditional manually operated trolleys cause significant operator fatigue, reduced productivity, and safety risks when transporting loads above 150 kg. This paper presents the design, development, and experimental validation of an electric material handling cart powered by a 500 W BLDC motor, a dual-mode BLDC controller, and a 48 V, 10 Ah Genesys battery system. The cart is constructed on a robust stainless-steel chassis with optimized dimensions of 1200 mm × 1000 mm × 500 mm, supported by a CNC-machined drive axle, differential mechanism, and 17-inch pneumatic wheels. A chain–sprocket reduction drive provides high starting torque for industrial loads between 200–250 kg and ramp climbing up to 5%. Extensive field testing—including load trials, gradient climbing, structural assessment, runtime evaluation, braking tests, and narrow-corridor maneuverability checks—validated the system's performance. The cart demonstrated a mixed-duty runtime of approximately 50 minutes and a controlled braking distance of 0.35 m, confirming theoretical predictions. Results confirm that the developed electric cart offers a reliable, zero-emission, and ergonomically superior alternative to manual material handling, making it highly suitable for warehouses, workshops, and confined industrial environments.
Published by: Gayatri Madhu Varpe, Sachin Madan Rathod, Santosh Sitaram Devkar, Prathamesh Balaji Bedjawalge
Author: Gayatri Madhu Varpe
Paper ID: V12I2-1223
Paper Status: published
Published: April 10, 2026
Effects of Minefields on Livelihood Access of Resettled Internally Displaced Persons IDPs in Borno State, Nigeria
Minefields remain significant threats to civilian populations in post-conflict regions, particularly in areas affected by insurgency. This study examines the impact of minefields on the socio-economic activities of resettled Internally Displaced Persons (IDPs) in selected Local Government Areas of Borno State, Nigeria. The study adopted a mixed-methods approach involving household surveys, Key Informant Interviews (KIIs, and Focus Group Discussions (FGDs). A total of 384 questionnaires were administered to resettled IDPs, while geospatial analysis was used to map landmine and ERW hotspot areas. Descriptive statistics, spatial analysis, and inferential statistics were used for data analysis. The findings reveal that landmine and ERW incidents are concentrated in areas such as Gwoza, Bama, Jere and Kaga Local Government Areas. The presence of explosive hazards has significantly restricted agricultural activities, movement, and livelihood opportunities among resettled IDPs. Risk perception analysis shows that most respondents perceive landmines and ERW as a major threat to their safety and economic recovery. The study concludes that landmine contamination continues to hinder sustainable resettlement and economic recovery in post-conflict communities. The study recommends intensified mine clearance operations, improved mine risk education, and livelihood support programmes for affected populations.
Published by: Babagana Zannah Audu, Mohammed Kaka Shettima
Author: Babagana Zannah Audu
Paper ID: V12I2-1234
Paper Status: published
Published: April 10, 2026
Tracking System for E-commerce Product
The proliferation of aggressive dynamic pricing strategies within contemporary e-commerce platforms has fundamentally altered consumer purchasing environments. These algorithmic pricing models, driven by real-time market shifts, inventory levels, and competitor actions, generate significant price volatility, leading to inherent information asymmetry. Consumers frequently lack access to crucial historical price trajectories and comprehensive cross-platform comparisons, resulting in suboptimal purchasing decisions, missed financial opportunities, and diminished overall market transparency. To mitigate this systemic challenge, this paper presents the design and implementation of a robust E-commerce Price Tracker System. The proposed architecture utilizes a Python-based backend to perform scheduled, real-time data aggregation through integration with external e-commerce APIs, such as Keepa for Amazon and dedicated interfaces for other major retailers. All fetched price points and associated metadata are meticulously timestamped and persistently archived within a scalable NoSQL repository (Firebase Real-time Database or Firestore), thereby establishing a reliable time-series dataset suitable for rigorous longitudinal analysis.
Published by: Roopam Kashte, Rubana Khan, Anis Ansari, Shivam Uttarwar, Piyush Kalbande, Harshal Thakur
Author: Roopam Kashte
Paper ID: V12I2-1224
Paper Status: published
Published: April 10, 2026
The Theory and Practice behind Workplace Behaviour
This paper delves into organizational behaviour which is the study of how individuals and groups act within the organization. It explores the evolution of organizational behaviour from classical management theories, which emphasise structure, efficiency and control, to modern approaches that highlight human motivation, psychological factors and relationships. Key theoretical approaches include classical theory, human relations movement and Contemporary systems. The paper also articulates the role of motivation, personality and group dynamics in organizational effectiveness. The findings from the literature prove that there must exist a balance between technological advancements and human-focused practices to ensure long-term success.
Published by: Yashasvi Agrawal
Author: Yashasvi Agrawal
Paper ID: V12I2-1229
Paper Status: published
Published: April 10, 2026
How are AI Advancements Supporting People with Learning Disabilities to Achieve their Maximum Potential?
Artificial Intelligence (AI) advancements are significantly transforming educational accessibility and learning outcomes for individuals with learning disabilities. Students with conditions such as dyslexia, dyscalculia, speech impairments, autism spectrum disorder, and other cognitive challenges often experience difficulties in traditional learning environments that rely on standardized teaching approaches. AI technologies are increasingly being used to create personalized, adaptive, and inclusive learning environments that better address the diverse needs of these learners. AI-based assistive technologies have also significantly improved accessibility in education. Tools such as text-to-speech (TTS), speech-to-text (STT), predictive text systems, and AI-driven writing assistants help students with dyslexia and other learning disorders improve reading, writing, and spelling abilities. Similarly, adaptive algorithms are being used for early detection and intervention in conditions such as dyscalculia by analyzing students' performance in mathematical tasks and providing targeted support. AI technologies also support students with speech and communication impairments through speech recognition systems, speech-generating devices, and even automatic sign language recognition systems. Overall, AI advancements have the potential to revolutionize special education by providing personalized learning opportunities, improving communication and accessibility, and enabling individuals with learning disabilities to achieve their maximum potential. Another important aspect highlighted in this study is the growing role of AI as a supportive learning companion for students with learning disabilities. By providing real-time assistance, personalized feedback, and adaptive learning pathways, AI tools allow students to engage with educational content in ways that suit their individual abilities and preferences. As AI continues to evolve, its integration into educational systems has the potential to create more inclusive learning environments where students with learning disabilities can actively participate, develop their skills, and reach their academic and personal goals more effectively.
Published by: Yashi Upadhyay
Author: Yashi Upadhyay
Paper ID: V12I2-1228
Paper Status: published
Published: April 10, 2026
