The current study sought to investigate the educational aspirations of secondary school adolescents concerning their parental education and types of schools. In this context, the research study's primary objective was to investigate the levels of educational aspirations of secondary school adolescents, as well as to examine their educational aspirations concerning parental education and the types of schools. The investigator gathered data from 400 adolescents in the government and private schools of Darbhanga, Bihar, India, who were in the 9th and 10th grades. A descriptive research design was implemented by the investigator. The data were collected using the survey method, with the support of a self-developed questionnaire on "Educational Aspirations of Secondary School Adolescents." Chi-square analysis was used to interpret the data. The study's findings revealed that the majority of secondary school students, i.e., 9th and 10th graders, have moderate levels of educational aspirations, and the secondary school adolescents' educational aspirations are independent of their parental education and the type of school. Furthermore, the finding revealed that secondary school boys' educational aspirations are independent of the type of school whereas secondary school girls' educational aspirations are dependent on the type of schools they attend. Based on the study's findings, it is suggested that special career-related guidance and counseling sessions for both secondary school adolescents and parents may be organized by the school to improve the educational aspirations of the adolescents.

Vocational interest refers to an individual’s preference for particular types of work and activities, reflecting personal strengths, values, and aspirations. This study focuses on the study of vocational interests of secondary school students of Murshidabad district of West Bengal. A total of 348 respondents were selected as a sample through multiple stage sampling techniques. The researchers used Kulshrestha (2009)'s Vocational Interest Record, consisting of 200 items across ten areas like, literacy, scientific, executive, commercial, constructive, artistic, agriculture, persuasive, social, and households. Both descriptive and inferential statistics were calculated for analyzing the data that was collected. The study concludes that females and private school students have higher vocational interest levels. Further, the study found that there is a significant difference between male and female, private and government students at secondary level in the vocational interest.

This thesis has examined socio-cultural factors that are also significant problems
for Indians. She is an Indian playwright, novelist, short-story author, illustrator, journalist, and cartoonist. She also composes plays for theatre presentations. I have studied to assess her two plays and two novels for my thesis. The two plays are Harvest and Lights Out, while the two novels are Escape and the Island of Lost Girls. Poverty, unemployment, gender issues, violence, trans sexuality, disability, technocracy, patriarchy, and marginalization have been examined. Current and urban conditions are exemplified by people who are perceptive and flexible. Padmanabhan has brought up one of the most important issues facing Indians, namely unemployment and poverty, which has given rise to the human organ trade. In her play Harvest, Manjula Padmanabhan explores the interaction between agrarian and industrial civilization via telecommunications’ Om Prakash is from a rural background.

It is the right of every child to get quality education. The quality of education depends on various factors one of which is the teacher. Teachers are the backbone and central figure of any education system. Since teaching is vitally linked with school improvement, it is important to work on teacher preparation. Apart from government, many non- government organizations (NGOs) have been working in this area. This paper aims to focus on the Necessary Teacher Training (NeTT) - an innovative two-year Pre-service Teacher Training Programme being implemented by Humana People to People India (HPPI), a non- government organization. HPPI collaborates with the state governments and private agencies to run the NeTT programme at District Institutes of Education and Training (DIETs).The unique training module of NeTT is designed in alignment with the state curriculum prescribed for D.El.Ed. course at DIET’s. The programme is aligned with the vision and goals of HPPI and tailored in accordance to the National Curriculum Framework for Teacher Education (NCFTE) 2009. Thus, the NeTT programme fills this gap where teacher educators aim at training teacher trainees towards improving the quality of teacher education.

Trust is a cornerstone of effective human-AI collaboration, particularly in an era of rapid digitalization where AI systems are increasingly integrated into decision-making processes across various sectors. This study investigates the critical factors influencing trust namely Transparency, Interpretability, and Satisfaction, and their sector-specific dynamics in healthcare, finance, and customer service. Utilizing a cross-sectional survey of 500 participants and stratified sampling, the research highlights pivotal role of transparency and interpretability in fostering trust, particularly in high-stakes sectors such as healthcare and finance. Transparency (β = 0.512, p < 0.001) and interpretability (β = 0.602, p < 0.001) significantly enhance trust, with stronger effects observed in healthcare (????2 = 0.494) and finance (????2 = 0.511) compared to customer service (????2= 0.374). Satisfaction had been emerged as a crucial mediating variable that amplifies the relationship between transparency and trust. The indirect effect of transparency on trust through satisfaction (β = 0.223, p < 0.001) underscores the importance of user-centric design in building trust. Furthermore, satisfaction demonstrates a stronger influence on trust in customer service (????=0.653), emphasizing its importance in customer-facing applications. This study provides theoretical contributions by extending trust frameworks to sector-specific contexts and offers actionable insights for AI system developers and policymakers. The findings advocate for tailored trust-building strategies, prioritizing transparency and interpretability in healthcare and finance, while emphasizing user satisfaction in customer service. The research will advances the understanding of trust dynamics in human-AI collaboration, addressing the ethical, operational, and design challenges of AI systems in a digitalized world.