Revitalising Jiri Technical School in a Dramatically Changed Context: Governance, Management and Employability

This paper examines two assumption: First, whether inadequate practical training, including much shortened apprenticeship training, has negatively affected the employability and incomes of graduates of TVET institutions in Nepal, and the second, whether it is good institutional management and governance that provide the systems for quality training and positive labour market outcomes. Tracer studies and an institutional assessment of Jiri Technical School (JTS) confirm the first assumption. The review of select literature on institution building and the benchmarking of JTS’ operative practices against those of high performing educational institutions (in India) confirm the second assumption. It is argued that poor management and governance of TVET institutions drifts the mission of Technical Schools away from their initial socio-economic mandate: the provision of skilled human resource and access to qualification opportunities to the youth having the aptitudes for such an education. Social rather than labour market demand with corresponding politics is one major force for such deviation. To revitalise the JTS, it is proposed to bank on the federalisation of the TVET governance system to professionalise Board, Management and teachers for enhanced labour market outcomes in closer cooperation between actors from the education and employment systems.

Social and structural changes in Russia: problems and prospects

This article is devoted to a review and general analysis of the main social trends in modern Russian society. In particular, the authors analyze statistical data on the most pressing problems of modern society, in parallel, attention is paid to assessing social trends in a number of the most painful issues, such as: vocational education and employment of the population, stratification of society, labor migration, demographic composition of society, demographic dynamics, processes, social consent and civic engagement of the population.

This is what life with cancer looks like: exploring experiences of adolescent and young adults with cancer using two visual approaches

Introduction Talking about illness experience can be challenging for adolescents and young adults (AYAs) with cancer. Visual tools, in addition to spoken language, might make this easier, such as rich pictures and photovoice. We aimed to obtain a comprehensive view of the cancer experience of AYAs by using rich pictures and photovoice. Methods AYAs (18–35 years old) who had any type of cancer, or were in remission from cancer, were eligible. AYAs drew rich pictures about their experience of living with cancer and explained these during subsequent interviews. Some of the AYAs also participated in photovoice and spent two days with a photographer to make photos about their illness experience. Rich pictures and photos were first analyzed separately, using open coding, after which the identified themes were compared. Results Twelve AYAs made rich pictures (RPs), of whom seven also participated in photovoice. The two most predominant themes emerging from the data were struggles related to the future and defining one’s identity. The AYAs expressed concerns for the future related to relationships, education, and employment. Relating to defining one’s identity, many AYAs expressed that the cancer had a negative impact on their body- and self-image. The main themes were visible in the RPs as well as in the photovoice; however, subtle differences in sub-themes were found. Conclusions We found that cancer has an effect on many aspects of AYAs’ lives. Further research on how the identified themes play a role in the lives of AYAs with cancer is needed.

Non-Linear Curriculum Experiences for Student Learning and Work Design

Developing curriculum aligned with employment outcomes often includes linear design. However, students do not cognitively approach their education linearly, and economies do not fluctuate linearly. We should support students' natural non-linear approaches to education and employment. Chat bots that include non-linear presentation of text, short video clips, and images can help us design curricular experiences that mirror and personalize unique student cognition. As students navigate nudges of content within a chat bot on their phone or full-page views in an internet browser, the initial content will catalyze new questions and non-linear thinking for students to then explore their own employment related journeys. This will buttress students to be agents in their learning instead of objects of linear design. Machine learning models feeding chat bot learning journeys and experiences can help improve organic assessment for a constellation of employment preparedness outcomes and connection.

The State of Education and Employment of People With Visual Impairment in Malaysia

This chapter is an in-depth qualitative study using a phenomenological approach in understanding the state of education and employment of people with visual impairment in the Klang Valley, Malaysia to identify the challenges they encounter and to discover the strategies they use in the employment sector. The results showed that people with visual impairment had a positive self-concept towards themselves, family, and friends; perceived that there was still a lot for the society to improve in terms of their awareness; acceptance and daily predicament faced by people with visual impairment. They faced challenges such as insufficiency of facilities provided in schools and employers, personal skills, limited mode of transportation in rural areas, job choice, and too many expectations are required from them. Therefore, proactive recommendations are also made to the respective parties in order to be fully knowledgeable concerning what further supportive and accommodative actions need to be taken to aid those who are visually impaired for better employability and education.

K-MEANS CLUSTERING FOR GROUPING INDONESIA UNDERDEVELOPED REGIONS IN 2020 BASED ON POVERTY INDICATORS

Poverty is still a problem in Indonesia, especially in underdeveloped areas. Underdeveloped areas are areas where the region and its people are less developed than other regions on a national scale. The classification of disadvantaged areas is determined by the president in the Presidential Regulation of the Republic of Indonesia Number 63 of 2020 concerning the Determination of Underdeveloped Regions of 2020-2024. Various policies need to be set by the government to overcome poverty in underdeveloped areas. Program planning strategies may be different for each region. Therefore, in order to achieve an optimal implementation of poverty alleviation programs, it is necessary to group the districts covered in underdeveloped areas in Indonesia based on poverty indicators. The data used is macro data from the characteristics of each region in disadvantaged areas obtained from regional publications in the figures for each district. From the results of the analysis of k means clustering formed three groups with different characteristics in each cluster. In cluster one, the focus of government policies is on employment and sanitation aspects, cluster two is on health, education, and employment aspects, cluster three is on all aspects because cluster three is the area with the highest percentage of poor people compared to the other two clusters. The high percentage of poor people is also followed by other poor aspects.

The Impact of Smoking Risk Factors During Pandemic COVID-19

Background: Based on world health organization, the smoking is a reason of death five–six cases per annum. Aims and Objectives: The aim of the study was to assess the age, marital, education, employment, smoking and social statuses on gender in Bahrain population. Materials and Methods: A cross-sectional, two group: male and female comparative by using questionnaire distributed randomly and collected data to be analyzed via SPSS program. Results: In age status, the female found to be below 30 years whereas the male is above 30 years. In marital status, the single, divorced and widow female found to be more in whereas the married male is more than married female. In education status, the Primary, intermediate and secondary male student found to be more whereas the college female student is more. In employment status, the Employed and Retired status found to be more in male whereas the Employment scholarship program, unemployed and Housewife found to be more in female. In Smoke status, the Smoking duration found to be more in female below 10 years whereas the Smoking duration found to be more male above 10 years. Also, the female Smoker consume found to be more below 20 cigarettes whereas male Smoker consume found to be more above 20 cigarettes. Conclusion: most smokers in both are between 21 to 30 years, college students and employees. Therefore, there are serious age, education and employment phase in both gender life

Grouping of Districts Based on Poverty Factors in Papua Province Uses The K-Medoids Algorithm

Poverty is an essential issue for every country, including Indonesia. Poverty can be caused by the scarcity of basic necessities or the difficulty of accessing education and employment. In 2019 Papua Province became the province with the highest poverty percentage at 27.53%. Seeing this, the district groupings formed in describing poverty conditions in Papua Province are based on similar characteristics using the variables Percentage of Poor Population, Gross Regional Domestic Product, Open Unemployment Rate, Life Expectancy, Literacy Rate, and Population Working in the Agricultural Sector using K-medoids clustering algorithm. The results of this study indicate that the optimal number of clusters to describe poverty conditions in Papua Province is 4 clusters with a variance of 0.012, where the first cluster consists of 10 districts, the second cluster consists of 5 districts, the third cluster consists of 12 districts, and the fourth cluster consists of 2 districts.

Adult Outcomes

The chapter focuses exclusively on the 60 adoptees aged over 18 who completed the follow-up survey. It draws on data collected through survey responses and interviews focusing on 24 adult adoptees. It explores their outcomes across a range of dimensions that together contribute to a composite measure of adult functionality. It presents the outcomes the adoptees achieved on each of these key domains and explores how they compared both with those of the normative Australian population and a contemporaneous cohort of care leavers. The adoptees showed more evidence of poor mental health than care leavers, but often did better in terms of education and employment. The presence of a committed adoptive parent appears to have acted as a powerful protective factor, and only extreme indicators of vulnerability at entry to the adoptive home correlated with poor adult outcomes.