Author: Dr. Savita Mishra

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Abstract: In the current scenario when globally there is digital advancement, teacher trainees are required to upgrade themselves with the use of technology, preparing e- modules, e-lessons and their evaluations, and the students’ needs to have computer literacy and required supporting infrastructure to access the e-learning and administrators needs to make sure that adequate online resources are mobilized to meet the educational needs of their students. Hence it is a crucial area of research area. This study aims to investigate the Impact of some personal variables such as parental educational, occupation and income variation on the Components of E-learning & Face to Face learning strategies for teacher trainees. Purposive sampling method was used to select 200 teacher trainees studying in different teachers training colleges of Siliguri. Finding shows that there exists significant difference between the use of the component of E-learning strategies i.e. You-Tube & Live class (Google meet, Zoom) of teacher trainees in relation to parental education, occupation and income variations. There exists significant difference between the use of the component of Face-to-Face learning strategies i.e. Lecture method & Interaction session of teacher trainees in relation to parental education, occupation and income variations. It is concluded that parental education, occupation and income have significance relation with E-learning and Face to Face learning strategies for teacher trainees.

Keywords: E-learning, face-to-face learning, technology, live class, lecture method, interactive session.

Page No: 1-8

Author: Awaneesh Baibhav

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Abstract: The self-concept is an organized cognitive structure comprising a set of attitudes, beliefs and value that cut across all facets of experience and action, organizing together the variety of specific habits, abilities, outlooks, ideas and feelings that a person displays. Scholastic competence refers to the intellectual behavioral and manifestation activities that a teacher has developed from the early years of his schooling up to the attainment of degree of teaching. The objectives of this study were to find out significant difference if any in both self-concept and scholastic competence of teachers in relation to gender, locale, teaching experience, educational qualification and academic stream variations. It was a descriptive study design of normative type.The population of this study consisted of secondary school teachers from Siliguri. The sample included one hundred teachers selected on simple random sampling method. The tools used for the collection of data were Nayak’s Teacher’s Self Concept Scale (2004) and   Samal’s Scholastic Competence scale (2000). The findings of this study were that female, rural, more experienced, graduate and non-science teachers have less self-concept compared to urban, less experienced, science and post graduate teachers whereas male, urban, graduate, non-science, less experienced teachers have less scholastic competence compared to female, urban, post graduate, science and more experienced teachers.

Keywords: Self Concept, Scholastic Competence, Personal Variables

Author: Mr. Pramod & Dr. Shailendra

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Abstract: The autobiography of Omprakash Valmiki’s ‘Joothan’ throws light on Dalit’s life which is full of struggle and humiliation. It is a saga of promoting human dignity and assertion of being a human being like others. The present paper aims to throw light on the pains and suffering of the Dalit community as portrayed in Jhoothan. Valmiki’s personal history is an edifying story of casteism winning in our society. The casteism is so much imbued in our society that it cannot be gotten away and Valmiki endured indistinguishable emergency due to that. It was a awesome assignment for Valmiki to be in sense with his self from the broken self. They have been enduring within the title of the caste framework. Their life is checked with disfavor, mortification, dishonor, concealment and segregation. Joothan is an collection of memoirs by Omprakash Valmiki in which he has investigated the issues of misuse of Dalits.

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Author: Madhavi Tripathi & Himani Tyagi

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Abstract. In India, agriculture is the main source of income. Its contribution to the Gross Domestic Product is noteworthy. Crop diseases, however, have a major effect on food security and agricultural output. For efficient disease control, illnesses in plants or crops must be accurately and promptly classified. End human trafficking, achieve food security and improved nutrition, and promote sustainable agriculture” is something that these realities motivate our team to focus on. The team decided to work on “Peach Leaf Disease Classification” after conducting study. Convolutional neural networks and Random Forest algorithm used were used to do the comparative study of the Peach leaf disease classification as the conclusion of the literature review. Plant disease classification and identification are being done more and more with machine learning models. As a result, our group divided up four distinct architectures among themselves. Sequential CNN reported accuracy of 96%. AlexNet provided 99.25% accuracy, VGG provided 97.50%, while ResNet-50 provided 99.62% accuracy. Our group is prepared to concentrate on creating deep learning models that can reliably identify and categorize a wide variety of subcategories inside more general classes.

Keywords: Peach leaf, Random Forest,Bacterial spot, ResNet-50, CNN, VGG, AlexNet, Binary Classification

Author: Dr. Mamta Shah

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Abstract: The objective of the study is to know sustainable clothing. The research work focuses on consumer perception towards sustainale fashion. Our study examines sustainability in the fashion industry and argues for increasing cinsumer awareness of the natural world with the goal of broadening their perspectives include not only personal gratification but also the pressing need to cambat processes harmful to nature. By appling traceability – the ability to trace an item through every stage of production -to the realm of fashion supply chain, consumer can make informed purchase decisions based on what appeals to them on personal level and also on the items evviromental and social impact. The study is based on Michael Kors belongs to the fashion and luxury goods industry.

Key words– Michael Kors, Fashion, Luxury ,Industry,Envirinmental.

Author: Dr. Mukta Goyal

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Abstract: This study aims to analyze and synthesize current research on financial literacy and its impact on investment decision-making. It extends the literature on personal finance by incorporating recent studies on financial literacy, the interplay between financial literacy and financial management behavior, and the concept of financial inclusion. Reviewing existing literature underscores the pervasive lack of fundamental knowledge, skills, and attitudes necessary for optimal personal finance decision-making, even in economically advanced nations. Consequently, since the mid-20th century, efforts to enhance financial literacy and promote personal finance education have gained prominence in industrialized and high-income countries.

While comprehensive studies are limited, recent scholarly and governmental attention to developing nations underscores the increasing global relevance of financial literacy and prudent financial behaviors for national socioeconomic well-being. Studies from economically challenged and emerging nations have revealed low levels of financial literacy, with correlations found between low literacy scores and demographics such as gender, age, employment status, education level, income, and rural residency. However, some demographic factors were found to be less influential. This research emphasizes the importance of expanding financial literacy initiatives across diverse population groups and addressing factors that influence financial literacy levels.

Keywords: Financial literacy, Investment decision-making, Personal finance, financial management behavior, financial inclusion, Socioeconomic health, Demographics, Developing nations, Education, Income, Rural residency.

Author: Dr. Abhishek Srivastava & Dr. Prabha Kiran & Prof. (Dr.) Alok Kumar & Prof. (Dr.) Sudhanshu Verma

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Abstract: In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviours. Building from not only extant research but also extensive interactions with practice, the authors propose a multidimensional framework for understanding the impact of AI involving intelligence levels, task types, and whether AI is embedded in a robot. Ideally, a two-way conversation is supposed to be a good customer interaction and content is the primary tool for brands to facilitate and sustain the conversations. Businesses may communicate with clients on a variety of platforms, such as email, vlogs, social media, community forums and more. With the use of artificial intelligence one can suddenly predict future actions, suggested products and enrich the conversation to deliver something better to consumers than the products and services alone. The convergence of Artificial Intelligence (AI) and customer experience management has ushered in a new era in which businesses can anticipate and meet customer needs with unprecedented precision. This research paper explores the evolving responsibilities of AI in forecasting and shaping customer experiences. We examine the current state of AI applications in customer experience, forecast its future roles, and delve into the implications for businesses and consumers. It will also make recommendations for more customised services to the consumers, which can have an effect on their overall interactions under variety of businesses.

Keywords: AI and customer experience, transforming customer experiences, investigating customers