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This study aims to present the experiences with self-determination and taking ownership of life in Sudbury model schools that allow students true choice.

For this qualitative study we used a thematic analysis (TA) methodology. The study is based on semi-structured interviews with 14 adult participants from eight different Sudbury model and comparable schools in the Netherlands, Israel and the US. These schools offered students real choice in the curriculum program. Transcripts were analyzed and corresponding meanings thematized. Self-determination theory (SDT) is used as a lens to interpret the findings.

The findings suggest that an organizational structure that supports own responsibility in an absence of an imposed program and a culture of no-interference creates conditions for taking ownership of life and choices (self-determination) and encompasses taking ownership of learning, education and one’s future. Taking ownership of one’s life seems to be related to strongly internally oriented processes with an internal locus of causality, to find their own motivation and taking responsibility for choices, behavior and consequences in a SDT need supportive social context.

This study is part of a larger research that addressed multiple facets of their experiences with their schools to understand the longer-term effects these schools had on the adult lives of participants. This limits the scope of this paper to only explore the conditions that led to the mental state of “taking ownership of one’s life.”

Conditions that can lead to long-term self-determination of one's life and future in a school setting is an unexplored area of research.

Enrolling in an academic discipline or selecting the college major choice is a dynamic process. Very few studies examine this aspect in India. This paper makes a humble attempt to fill this gap using NSSO 71st round data on social consumption on education. The purpose of this paper is to use multinomial regression model to study the different factors that influence course choice in higher education. The different factors (given the availability of information) considered relate to ability, gender, cost of higher education, socio-economic and geographical location. The results indicate that gender polarization is apparent between humanities and engineering. The predicated probabilities bring out the dichotomy between the choice of courses and levels of living expressed through consumption expenditures in terms of professional and non-professional courses. Predicted probabilities of course choices bring in a clear distinction between south and west regions preferring engineering and other professional courses, whereas north, east and NES prefer humanities.

The present paper follows the same approach as that of Turner and Bowen (1999). The Multinomial regression is specified as P ( M i = j ) = ( exp ( β j × X i ) / ∑ j − 1 5 exp ( β j × X i ) ) , where P (M_i=j) denotes the probability of choosing outcome j, the particular course/major choice that categorizes different disciplines. This response variable is specified with five categories: such as medicine, engineering, other professional courses, science and humanities. The authors’ primary interest is to determine the factors governing an individual’s decision to choose a particular subject field as compared to humanities. In other words, to make the system identifiable in the MLR, humanities is treated as a reference category. The vector X_i includes the set of explanatory variables and β_j refers to the corresponding coefficients for each of the outcome j. From an aggregate perspective, the distribution of course choices is an important input to the skill (technical skills) composition of future workforce. In that sense, except humanities, the rest of the courses are technical-intensive courses; hence, humanities is treated as a reference category.

The results indicate that gender polarization is apparent between humanities and engineering. The predicated probabilities bring out the dichotomy between the choice of courses and levels of living expressed through consumption expenditures in terms of professional and non-professional courses. Predicted probabilities of course choices bring in a clear distinction between south and west regions preferring engineering and other professional courses, whereas north, east and NES prefer humanities.

Predicted probabilities of course choices bring in a clear distinction between south and west regions preferring engineering and other professional courses, whereas north, east and NES prefer humanities. This course and regional imbalance need to be worked with multi-pronged strategies of providing both access to education and employment opportunities in other states. But the predicted probabilities of medicine and science remain similar across the board. Very few research studies on the determinants of field choice in higher education prevail in India. Research studies on returns to education by field or course choices hardly exist in India. These evidences are particularly important to know which course choices can support student loans, which can be the future area of work.

The research evidence is particularly important to know which course choices can support student loans, which can be the future area of work, as well as how to address the gender bias in the course choices.

The paper has social implications in terms of giving insights into the course choices of students. These findings bring in implications for practice in their ability to predict the demand for course choices and their share of demand, not only in the labor market but also across regions. India has 36 states/UTs and each state/UT has a huge population size and large geographical areas. The choice of course has state-specific influence because of nature of state economy, society, culture and inherent education systems. Further, within the states, rural and urban variation has also a serious influence on the choice of courses.

The present study is a value addition on three counts. First, the choice of courses includes the recent trends in the preference over market-oriented/technical courses such as medicine, engineering and other professional courses (chartered accountancy and similar courses, courses from Industrial Training Institute, recognized vocational training institute, etc.). The choice of market-oriented courses has been examined in relation to the choice of conventional subjects. Second, the socio-economic background of students plays a significant role in the choice of courses. Third, the present paper uses the latest data on Social Consumption on Education.

Many countries today, especially in Europe, provide publicly funded public services in quasi-markets. As these markets commercialize, agencies of various types are providing technologies that support citizens’ choice of services. Citizens’ use of technologies for service provision is studied as e-government under labels of channel management, e-service uptake or adoption. In contrast, by using actor–network theory (ANT), the purpose of this paper is to focus on the marketing devices that are used to enroll citizens to choose technologies in a context with large penetration of quasi-market arrangements.

Based on a Swedish case study, this paper uses qualitative data from 11 occurrences of technologies to support citizens’ choice (“market devices”) in education, healthcare and public pension in an analysis of the means taken (“marketing devices”) to increase their use. The study formulates a tentative typology of these devices.

The marketing devices are intended to attract citizens’ attention to the possibility of choice (e.g. catalogs, postcards and commercials), invite interaction (e.g. various social media platforms), improve the technological support in line with user needs (e.g. user participation in development), increase visibility of technological support (e.g. search optimization) or directly connect citizens to technological support (e.g. via links).

The paper contributes to e-government research through a typology of means taken to increase citizens’ technology use based on selected concepts from ANT, and to a discussion of technologies and humans.

The purpose of this paper is to investigate the relationship between preferred choice of school subject and student information behaviour (IB).

Mixed methods were employed. In all, 152 students, teachers and librarians participated in interviews or focus groups. In total, 1,375 students, key stage 3 (11-14 years) to postgraduate, responded to a questionnaire. The research population was drawn from eight schools, two further education colleges and three universities. Insights from the literature review and the qualitative research phase led to a hypothesis which was investigated using the questionnaire: that students studying hard subjects are less likely to engage in deep IB than students studying soft subjects.

Results support the hypothesis that preferences for subjects at school affect choice of university degree. The hypothesis that a preference for hard or soft subjects affects IB is supported by results of an analysis in which like or dislike of maths/ICT is correlated with responses to the survey. Interviewees’ comments led to the proposal that academic subjects can be classified according to whether a subject helps students to acquire a “tool of the Mind” or to apply such a tool. A model suggesting how IB may differ depending on whether intellectual tools are being acquired or applied is proposed.

The “inner logic” of certain subjects and their pedagogies appears closely linked to IB. This should be considered when developing teaching programmes.

The findings offer a new perspective on subject classification and its association with IB, and a new model of the association between IB and tool acquisition or application is proposed, incorporating the perspectives of both teacher and student.

This paper aims to examine and discuss learning conditions for teachers, in the context of choice and decentralisation reforms.

This article is based on analyses of 30 interviews with Swedish upper secondary teachers focusing on their experiences of their conditions for learning.

This paper shows how teachers at upper secondary level identify their subjects as the most important to learn more within. Secondly, we also show that spatial and temporal aspects of organisation of work seem to influence the conditions for subject learning, where the interviewees in many ways contrast their own view to how they describe their work being organised.

Our findings may have currency for other professional groups with similar governance-contexts, and teachers in other similar governance-contexts.

These findings indicate the need to further develop workplace learning strategies founded upon the understanding of schools as workplaces, taking occupational values into account. Furthermore, these strategies should be seen as a core Human Resource Management issue, as they can potentially enhance the work environment, thus increasing the profession’s attractiveness.

We show that spatial and temporal aspects of organisation of work seem to influence the conditions for the sought after subject learning, and that the teachers and the school management seem to identify with different and clashing ideals in terms of what, when, how and with whom to learn.

This introduction aims to set the context for the subsequent chapters that problematize various aspects of social justice, equity, and inclusion through particular lenses, and/or methodologies. This is done by presenting the ‘problem’ of social justice and equity in education, while simultaneously making links with the Sustainable Development Goals (SDGs). The term ‘social justice’ is appearing in numerous public texts and discourses within the education field, thus becoming a key concept in current education policy and practice. Moreover, the concept of social justice is crucial to theorizing about education and schooling, consequently being considered by politicians, policymakers, and practitioners in their thinking about the nature of education and the purpose of schools. Regrettably, education practitioners, researchers, and policymakers often utilize this umbrella term (social justice) while leaving out salient details about its social, cultural, economic, and political bearing. Notwithstanding the unanimous agreement on the desirability of social justice as an educational goal, this is complemented by a parallel contestation over its actual meaning and application in relation to schooling, that is, in relation to the formulation of policy and how it is to be included in practice. This chapter seeks to unravel the conceptual confusion around the terms social justice, equity, and inclusion in relation to schooling and education, through an exploration of the existing literature in the field.

Achieving basic education and equitable education outcomes remains a challenge, therefore, improving equity in education has evolved as a particularly important policy priority in all OECD countries. This chapter concentrates on equity in the Maltese education system, with a particular focus on how the policyscape makes provision for achieving, improving, and maintaining equity in compulsory schooling. As an EU member state, Malta has been affected by the evolution, causes, and consequences of social, educational, and economic inequalities that have been an ardently contentious and controversial issue given the recent economic crisis in Europe. This chapter utilizes Bacchi’s ‘What’s the problem represented to be?’ (WPR) approach to analyse national school inclusion policy in Malta as illustrative of policies mobilized to address the problem of inequality, therefore acknowledging the need for a provision of equity as a major agenda. The results of this small-scale study have theoretical and methodological implications for academics, policymakers, and practitioners in the educational policy field. This study highlights the fact that there are a number of persistent challenges for achieving equity in education, especially the immigrant-native educational gap, despite European policy makers having been very active in the educational field.

The purpose of this paper is to critically review the well-intended plan by the government through the Ministry of Education to continue providing quality learning through online learning and in an equitable and inclusive manner during school closures due to the COVID-19 pandemic.

This paper is based on a review of the available literature including assessment reports, academic studies and media reports.

The paper revealed that despite the visionary plan by the government that the development and implementation of an emergency response plan would ensure equitable and inclusive continued learning for all students, those learners who were disadvantaged, including those living in remote areas and urban informal settlements, girls and learners from low–socio-economic households, found it even harder to access lessons. In fact, the existing digital divide on the part of the learners and schools served to reproduce or even widen inequities in learning. The COVID-19 pandemic evidently made these inequities more visible or even worse. What had been conceived as and intended to be an equitable and inclusive learning exercise ended up marginalising learners in already marginalised spaces.

While the researchers made an attempt to search for as many documents as possible, the documents selected for the paper are limited to those that explored the online learning during COVID-19 in Kenya. These reports were critically examined with a view to providing a clear picture of what online teaching and learning was like and how this picture embraced notions of fairness and inclusivity hence equity. Despite all these, there was the possibility of having some biases in the used reports. However, the researchers carefully read them triangulating them with others with similar information in an attempt to filter biases.

The paper has demonstrated how the learning process can be influenced by the provision of the relevant teaching and learning materials, tools and infrastructure.

This paper has clearly demonstrated the position that learning is a social process and which is affected by the social factors such as gender roles, socio-economic status and the social environment in which it occurs.

The paper contributes to ongoing discussion about the potentials and challenges of online learning particularly in a country like Kenya where equity in learning still remains a considerable challenge mainly as a result of the existing socio-economic, regional and gender disparities in learning. The paper makes a contribution in terms of an authentic mode of thinking that should guide the process of provision of “learning for all”.

This paper aims to study the effect of family socioeconomic status (SES) on academic and labor market outcomes.

The authors used a rich data set of administrative records for test scores, individual background and adult earnings of a cohort of agents, covering a period spanning the agents' upper-secondary education and their early years in the labor market.

The authors find that students with the highest SES obtained a 1.5 standard deviations higher score in the college admission test than students who had the same academic outcomes in the eighth grade test but belong to the lowest SES. Similarly, among students that obtained the same scores in the college admission test, those with the highest SES earned monthly wages 0.7 standard deviations higher than those with the lowest SES.

The findings highlight that family socioeconomic background continues to influence outcomes during individuals’ upper secondary education and early years in the labor market.

The purpose of this paper is to lay out the data competence maturity model (DCMM) and discuss how the application of the model can serve as a foundation for a measured and deliberate use of data in secondary education.

Although the model is new, its implications, and its application are derived from key findings and best practices from the software development, data analytics and secondary education performance literature. These principles can guide educators to better manage student and operational outcomes. This work builds and applies the DCMM model to secondary education.

The conceptual model reveals significant opportunities to improve data-driven decision making in schools and local education agencies (LEAs). Moving past the first and second stages of the data competency maturity model should allow educators to better incorporate data into the regular decision-making process.

Moving up the DCMM to better integrate data into their decision-making process has the potential to produce profound improvements for schools and LEAs. Data science is about making better decisions. Understanding the path laid out in the DCMM to helping an organization move to a more mature data-driven decision-making process will help improve both student and operational outcomes.

This paper brings a new concept, the DCMM, to the educational literature and discusses how these principles can be applied to improve decision making by integrating them into their decision-making process and trying to help the organization mature within this framework.