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Applying sociological and developmental theoretical perspectives to educational policy issues, this study analyzed data from 7,710 children from low-income families in the Early Childhood Longitudinal Study-Kindergarten Cohort. The goal was to examine how much the association between phonics instruction in kindergarten classrooms and children’s reading achievement during the first year of school in the low-income population would depend on whether children had previously attended preschool as well as the socioeconomic composition of their elementary schools. Lagged linear models with a series of sensitivity tests revealed that this association was strongest among children from low-income families who had not attended preschool and then enrolled in socioeconomically disadvantaged elementary schools and among children from low-income families who had attended preschool and then enrolled in socioeconomically advantaged elementary schools. These findings demonstrate how insights into educational inequality can be gained by situating developing children within their proximate ecologies and institutional settings, especially looking to the match between children and their contexts. They are especially relevant to timely policy discussions of early childhood education programs, classroom instructional practices, and school desegregation.

In this chapter, the author dwells on the effects of documenting and the failure to document, border lives and deaths. Despite their apparent differences, both practices function as forms of erasure. While the Australian government has historically been keen to document the number of asylum seeker arrivals in this country, it has shown no interest in the numbers and names of those who have died in attempting to arrive here. In contrast, those who manage to cross the border, are subject to intense classificatory and numbering regimes. The latter manifests in bureaucratic control and excessive intervention, while the former reveals governmental denial of complicity in these deaths by not acknowledging them. Both practices share a refusal to encounter the other on ethical terms, reflecting the politics of numbers (Andreas & Greenhill, 2010) at and within the border. This also reveals a paradox, between being represented and not being represented. In the lacuna of details about border deaths, human rights organisations, researchers and advocacy groups have sought both to honour these deaths and to ensure that the scale of border violence is marked by statistical records on the numbers of border deaths. While it might seem that being ‘counted’ – or in Butler’s (2003, p. 41) terms – ‘represented’ is better than not being counted/represented at all, representation is never straightforward (Szörényi, 2009b, p. 185): being counted is often barely a form of representation, with such ‘numbering’ practices contributing to the effacement, rather than the recognition of refugees’ humanity.

To explain how the components of attraction theory work in unison to prompt students to take an initial stimulus and progress through critical thinking processes and into knowledge acquisition, organization, and synthesis.

Although schema theory has an important role in understanding knowledge acquisition, it does not provide directives for how to plan instruction so students can build their understandings and comprehension of subject matter. This chapter outlines a pedagogical approach to the implementation of a new theory of learning that builds on cognitive science, affect, and interest.

Students can become re-attracted to learning through effective teaching inclusive of a jolt, curiosity, retrieving explanations, counterexamples, clarifications, and embedding that information within schemata.

Proactive investigations and continued research on attraction theory can enrich our understanding of teaching and learning, provide answers for what works in the classroom, and equip us with tools from which to select for unique classroom circumstances.

Active learning is not a simple practice. It is a new paradigm for the provision of high-quality, collaborative, engaging, and motivating education. Active learning has the capacity to respond to most of the challenges that institutions of higher education are facing in our time. In this chapter, we present active learning strategies used in STEM disciplines and we analyze the potential of active learning to redefine the value proposition in academic institutions. After providing the theoretical underpinnings of active learning as an evolving practice, an attempt is made to connect it with different learning theories and present an integrative model in which institutional strategies, learning strategy and information, and communication technologies work synergistically toward the development of knowledge and skills. We then present the results of a survey examining “stories” of active learning from the STEM disciplines, identifying good teaching practices, and discussing challenges and lessons learned. The key idea is that active engagement and participation of students is based on faculty commitments and inspiration and mentoring by faculty. We finally present a stage model for the implementation of active learning practices in higher education. Emphasis is put on a new vision for higher education, based on systematic planning, implementation, and evaluation of active learning methods, collaboration, engagement with society and industry, innovation, and sustainability, for a better world for all.

The growth in cryptomarkets has reinvigorated the research on illicit drug distribution due to the availability of large-scale data. This data has enabled researchers to ask new and detailed questions about how participants in these markets trust each other enough for the market not to collapse. This question deserves more attention because it has become a taken-for-granted notion that repeated transactions and social categories create trust. Whether online or on the street, economic exchanges under illegality are more uncertain than transactions in the legal economy. This puts higher demands on trust, as there is less information and the stakes are higher. In this chapter, the author presents definitions, typologies, and disciplinary contributions to the study of trust and examine how it has been operationalised in a sample of 13 peer-reviewed articles. These articles focus on three dimensions of trust: process-based trust that derives from repeated transactions with known partners; character-based trust measured by the networked reputation scores; and institutional-based trust in the platform and its administrators. In practice, the trust bases are intertwined. Drawing on the broader social science literature on trust, a mesolevel operationalisation that centres on networked reputation scores as embedded in processes and institutions can draw the research together in a multidisciplinary framework.

Purpose – To provide classroom teachers with the rationale and methods necessary to grow the engagement of struggling readers.Design/methodology/approach – The chapter is organized as a series of mini case studies.Findings – Provides a comprehensive description of the methods/practices used with each student or group of students in order to encourage methodological replication.Research limitations/implications – This is not an exhaustive overview of engaging methods, but the case studies should be familiar to classroom teachers and reading specialists. The authors carefully explain how the methods were differentiated for each student or group of students. In addition, the methods are described in sufficient detail so as to ensure that readers can utilize the methods and/or practices with their struggling readers.Practical implications – The chapter advocates that classroom teachers and/or reading specialists carefully consider motivation when planning intervention. The crafted case studies illuminate how such planning and delivery might be implemented.Originality/value of chapter – In order for struggling readers to engage with text for purpose and pleasure, a responsive approach is necessary. Such an approach considers motivation as a critical competent of effective intervention.

The study aims to analyze the influence of managerial support, autonomy and reward perception on the innovative behavior of university professors.

Quantitative methodology based on partial least squares structural equation modeling. The sample obtained totaled 208 responses from professors at three public universities in the State of Sao Paulo, Brazil.

The results indicate that managerial support is a fundamental factor for developing an organizational environment that is more conducive to innovative behavior and corporate entrepreneurship. However, in educational institutions with a more focused entrepreneurial ecosystem, it was discovered that reward perception is not a fundamental factor for the innovative behavior of university professors.

From a practical perspective, academic institutions interested in stimulating corporate entrepreneurship should create opportunities for collaboration among professors to solve problems, encourage professors to expose their work beyond the university environment and improve the main indicators of management support and autonomy presented in this research.

The study presents indicators and implications, which are of particular interest for university managers and public policy writers.

The study is demonstrably original. Through its unique analysis of the innovative behavior of university professors and the connections between variables in the university environment and its use of a robust modeling method in an emerging-economy context, the study furthers existing research by helping to understand why some firms are better than others at corporate entrepreneurship.