Volume 12 | Issue 11 |

 Abstract

This piece delves into the shift from behaviorism to constructivism in the realm of education, emphasizing the importance of constructivism in transforming modern teaching methods. It starts by providing a historical context for behaviorism's impact on education, before introducing constructivism as a new theory of learning. By contrasting the viewpoints of behaviorism and constructivism, the piece shows how constructivism overcomes the shortcomings of behaviorism and provides a broader view of the learning process. It examines how constructivist ideas influence teaching techniques, the design of the curriculum, and methods of evaluating student progress, with examples of constructivist practices in educational environments. Additionally, it points out the obstacles to implementing constructivism and discusses ways to encourage its integration into educational practices. In conclusion, it calls on teachers to adopt constructivism and to reconsider conventional teaching and learning approaches.

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 Keywords

Behaviorism, Constructivism, Educational practice and Alternative Learning Theory

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigated the effects of a targeted training program on key performance metrics compared to a control group. The primary objective was to evaluate pre- and post-test differences in orientation ability, skill performance, and physical attributes. Data analysis revealed significant improvements in the training group, with notable reductions in mean values and standard deviations across various parameters. For instance, orientation ability showed a 7.93% improvement, with a mean difference of 1.034 (t=6.956, p=0.000). Similarly, skill-related metrics demonstrated substantial gains, such as a 28.19% enhancement in performance scores (t=6.559, p=0.000). In contrast, the control group exhibited minimal or statistically insignificant changes across the same variables, confirming the efficacy of the intervention. The findings highlight the role of systematic training programs in optimizing performance metrics, including reaction time, coordination, and task-specific skills. Statistical analysis, employing paired t-tests and percentage change evaluations, underscores the program's significant impact compared to natural progression in a non-intervention scenario. This study contributes to the growing evidence supporting structured training regimens for skill enhancement and physical performance improvement, with implications for educational, athletic, and professional domains.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Training efficacy, orientation ability, skill performance, physical attributes, statistical analysis, structured training, control group comparison, performance enhancement, pre- and post-test evaluation

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Creative Commons Attribution 4.0 and The Open Definition

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The increasing use of electronic devices has led to a rise in electronic waste (e-waste), which poses significant environmental concerns due to the presence of harmful materials that take centuries to degrade. The use of electronic devices follows a tremendous upward curve. In the consequence, a great deal of electronic waste in the environment is being faced. Such materials pose critical environmental concerns because some materials take thousands of years to degrade. This is added by conventional energy storage devices such as lithium-ion batteries that are created from non-biodegradable materials. Based on the research done, this paper introduces the development of biodegradable energy storage devices from plant-based materials like nanocellulose and biodegradable metals such as magnesium (Mg) and zinc (Zn). High performance, breakable under regulated environmental conditions, these biodegradable devices constitute less e-waste for green electronics. The main concern of the study is the design and testing of such devices to enable efficient as well as sustainable storage of energy, in lieu of offering an ecofriendly alternative in comparison to conventional technologies. Recent issues worldwide are related to environmental concerns due to e-waste because it is produced by the massive scale of production and disposal of electronic devices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Biodegradable Electronics Energy Storage Devices, Nanocellulose, Magnesium (Mg) and Zinc (Zn) ,Environmental Sustainability, Green Electronics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This abstract probes various methods that facilitate active engagement with texts, including skimming, scanning. Skimming allows readers to grasp the main ideas quickly, while scanning targets specific information efficiently. Note-taking encourages deeper processing of content, aiding in the synthesis of knowledge and retention over time. Summarizing reinforces understanding by requiring readers to distill information into their own words. Advanced techniques, such as the SQ3R (Survey, Question, Read, Recite, Review) method, further enhance learning by promoting critical thinking and structured review. By employing a combination of these strategies, readers can improve their overall reading efficacy, foster lifelong learning skills, and adapt to diverse reading contexts, from academic texts to digital content. This abstract serves as a foundation for educators and learners alike to explore and implement effective reading techniques that cater to individual needs and learning objectives.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Skimming - Scanning- Intensive - extensive reading- Active - Critical reading- SQ3R- Comprehensive reading-Real life reading-levels of reading-Real life reading

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Creative Commons Attribution 4.0 and The Open Definition

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In the digital age, data is at the heart of modern business operations, making its protection a critical concern. This paper explores the evolving landscape of data security and privacy within organizations, emphasizing the human factor in safeguarding sensitive information. While technical defenses like encryption and firewalls are essential, the role of employees, customers, and business partners cannot be overlooked. Human errors, such as accidental data breaches or mishandling of information, can compromise even the most sophisticated systems.We delve into strategies that blend advanced technologies with employee awareness, emphasizing the importance of cultivating a culture of vigilance and accountability. Moreover, as businesses collect and store vast amounts of personal data, they must navigate the ethical implications of privacy protection. Balancing the need for data utilization with respect for individual privacy rights has never been more challenging.Through this research, we aim to highlight best practices for organizations to foster trust while minimizing risks, creating a more secure and privacy-conscious environment. Ultimately, data protection is not just a technical issue but a human one, demanding a holistic approach that values both security and the individuals behind the data. In a world where data can be a company's greatest asset or its biggest vulnerability, we must find a balance between harnessing its potential and respecting the privacy of the people behind the data. This paper provides insights into creating a culture of security that not only protects business interests but also builds lasting trust with customers and stakeholders.

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Data Protection, Privacy Ethics, Data Regulation Compliance, Data Breach Prevention, Customer Privacy, Cyber security

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Creative Commons Attribution 4.0 and The Open Definition

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In the face of unpredictable natural calamities, the capacity to quantify structural damage with precision could redefine the boundaries of post-disaster recovery and resource allocation. Automating the classification of building damage can expedite the process of distributing aid and reduce reliance on manual inspection. Accurate damage assessment is critical not only for post-earthquake recovery but also for taking pre-emptive measures to strengthen vulnerable structures. In this paper, we explore machine learning techniques such as AdaBoost, CatBoost, and a stacking ensemble to classify earthquake-induced building damage using data from the Gorkha earthquake. The methodology incorporates steps such as feature encoding, model training, and ensemble learning to enhance prediction accuracy. Key structural features--including building age, number of floors, foundation type, area percentage, and secondary usage--are integrated into the models to assess the predicted damage severity.

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 Keywords

Earthquake Damage Prediction, Building Damage Assessment, Ensemble Learning, CatBoost, XGBoost, AdaBoost, LightGBM, Machine Learning, Stacking Ensemble, Structural Attributes, Gorkha Earthquake Dataset

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Creative Commons Attribution 4.0 and The Open Definition

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Indian National Movement and Development of Freedom of Press

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Creative Commons Attribution 4.0 and The Open Definition

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Indian National Movement and Development of Freedom of Press

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Creative Commons Attribution 4.0 and The Open Definition

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This study introduces an innovative inventory model for items with non-instantaneous deterioration, integrating nonlinear stock-dependent demand, hybrid payment schemes, and partially backlogged shortages. Unlike traditional models, which often assume immediate deterioration and linear demand, our approach captures the gradual quality decline of items and the dynamic nature of demand influenced by inventory levels. The model incorporates a hybrid payment scheme, blending immediate and deferred payments, offering businesses increased financial flexibility. Additionally, it addresses partially backlogged shortages, where some unmet demand is backordered while the rest is lost. We formulate the model mathematically and derive optimal inventory policies to minimize total costs, encompassing holding, ordering, deterioration, and shortage costs. Through sensitivity analysis, we explore the impact of key parameters, demonstrating the model's robustness and practical relevance. The findings reveal that accounting for nonlinear demand, hybrid payments, and partial backlogging can significantly enhance inventory management efficiency and cost-effectiveness, making this model a valuable tool for practitioners in complex supply chain environments.

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Inventory model, non-instantaneous deterioration, nonlinear stock-dependent demand, hybrid payment scheme, partially backlogged shortages, supply chain management, optimal inventory policies, total cost minimization, sensitivity analysis, financial flexibility.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Carwash is an obligatory business in the UAE to adhere to policies and regulations. Operational excellence is a challenging process of any business and especially for the service sector. The Geowash technique was new to UAE and successfully implemented by the Q2 car wash company and running their business. The general cleaning company in Abu Dhabi is specialized with Geowash and introduced lean management concept in their business to achieve operational excellence. Their customer service, employee's commitment and affordability and extended service and less waiting time and eco-friendly carwash are their key parameters for success. Their service is endorsed by the government of UAE and achieved many awards for their service excellence across the world. Q2 car wash company ensures their systems remain efficient, safe, and competitive in the ever-changing landscape of car wash services.

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Carwash, operational excellence, lean management, service excellence, customer service.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

“Shreemadbhagvat Geeta Me Nihit Nishkam Karmyog Ki Vartaman Paripekshya me Prasangeeta"

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Creative Commons Attribution 4.0 and The Open Definition

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“Shreemadbhagvat Geeta Me Nihit Nishkam Karmyog Ki Vartaman Paripekshya me Prasangeeta"

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Creative Commons Attribution 4.0 and The Open Definition