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This study investigates national trends in students’ science, technology, engineering, and mathematics (STEM) occupational expectations by using Program for International Student Assessment (PISA) 2000, 2003, and 2006 data. The analyses in this study revealed several noteworthy national trends in STEM occupational expectations. In many countries students’ computing or engineering (CE) occupational expectations changed between PISA 2000 and PISA 2006, while students’ health service (HS) occupational expectations remained constant. In particular, many developed countries experienced downward national trends in CE occupational expectations among top performers in science. This study also found gender differences in national trends in STEM occupational expectations. In many countries boys’ CE occupational expectations decreased between PISA 2000 and PISA 2006, while girls’ occupational expectations remained unchanged in both CE and HS fields. Finally, the gender gaps in CE occupational expectations converged in many countries, but this convergence was not due to increases in CE occupational expectations among girls, but rather decreases in expectations among boys. Because one of the policy goals in many countries is to promote engagement in STEM education and occupations among students, especially academically talented students, the current findings – national declines in CE occupational expectations among top academic performers – will most likely be viewed as problematic in several countries. Future research should use data collected over longer periods to investigate whether students’ interest in STEM education and occupations increased or decreased in a variety of countries, and whether these patterns varied by student characteristics and performance levels. Moreover, future research must focus on factors that can explain the national trends in student interest in STEM education and occupations.

Using data from the Children of Immigrants Longitudinal Study, this study examines the structural relationships between negative school social relationships, school safety, educational expectation, and academic achievement of Latino immigrant students. Results from multilevel structural equation modeling show that discrimination, unhelpful school social relationships, and experiences of unsafe school environments influence Latino immigrant adolescents’ academic achievement indirectly and directly through their educational expectations. Specifically, this study explores how noncognitive and contextual factors embedded in different structural layers of school organization influence Latino immigrant adolescents’ academic achievement. It draws attention to the impact of negative school factors such as discriminatory and unsupportive school social relationships, and negative and unsafe school structures that undermine school life. Based on our findings, we argue that as Latino immigrant students internalize negative experiences from their school experiences during the critical period of adolescence, such accumulated negative internalization may reinforce negative self-perceptions and inaccurate stereotypes. Not only discrimination but also other negative school features such as the absence of academic supporters, nonacademically oriented friends, and unsafe learning environments inhibit them from navigating positive school opportunities and ultimately, successful school achievement. Implications for the social organization of U.S. public secondary schools with a focus on Latino immigrant adolescents’ academic achievement are discussed.

In this chapter, we begin by exploring the lessons learned from studies of teachers’ expectations for student behavior, being with early inquiry conducted following the Education for All Handicapped Children Act (P.L. 94-142) of 1975. Next, we explore the expanding knowledge base following reauthorization of the Individuals with Disabilities Education Act (IDEA, 1997), the Individuals with Disabilities Education Improvement Act (IDEIA, 2004), and No Child Left Behind Act (NCLB, 2001) as the field increasingly emphasized inclusive programming and supporting access to the general education curriculum, called for academic excellence for all students, and focused on systems-level perspectives for teaching behavioral expectations. We summarize lessons learned from these bodies of knowledge, focusing attention on key findings and existing limitations of the studies conducted to date. We conclude with implications for educational research and practice, with attention to how lessons learned regarding teacher expectations for student performance can (a) facilitate inclusive programming for students with disabilities, (b) support school transitions, (c) inform primary prevention efforts and targeted supports, and (d) inform teacher preparation programs.

Gender-specific segregation of occupations has remained a typical characteristic of contemporary labour markets. From an individual perspective, (gender-)specific positioning in the labour market is the result of longer-term developments over the life course; these may be influenced by specific macro-level conditions. For example, education and training systems may differ in the information they provide for individual educational and occupational decisions and in the biographical consequences of these decisions. This chapter analyses the potential relevance of education and training systems for gender-specific occupational expectations at a comparatively young age. The empirical analyses use data from the Programme for International Student Assessment (PISA) 2000, 2003 and 2006 and from the European Labour Force Survey (ELFS), comparing occupational gender segregation in early individual expectations and in the labour force across 22 European countries. In a multi-level analysis, expectations are related to both individual-level predictors and characteristics of education and training systems. The results show that anticipated choices of gender-specific occupations are loosely related to characteristics of education and training systems. In particular, the degree of vocational enrolment seems to enforce the level of segregation. However, these associations are group-specific and rather small. Education and training systems also tend to have different consequences for the expectations of young women and young men. Gender segregation already exists at early biographical stages, but it is often modified by later adaptation and the selective behaviour of institutions and employers.

It has long been established in educational stratification research that teachers play an important role in shaping children's school experience, which is closely associated with children's educational outcomes. Children's family background has been considered as one of the factors that may influence how teachers form their evaluations of children's behavior and academic competence, and their educational expectations for children. Going beyond the conventional modeling of using measures of the family's socioeconomic situation alone, this chapter incorporates the teachers' perceptions of the importance of children's family background into the examination of teachers' evaluations and expectations. Using a unique data from northwest China, this study provides a case study to highlight the importance of bringing teachers' perspectives into examining the relationship between children's family background and their educational outcomes. The analysis results reveal that teachers' perceptions of the importance of children's family background, above and beyond children's previous academic achievement and their family's actual socioeconomic situations, are closely associated with teachers' evaluations and expectations. Teachers' expectations at early time point help to predict children's later school persistence.

The context of contemporary higher education is changing, with ever-increasing student numbers and escalating demands on academics. In response, developing greater awareness and understanding of doctoral psychological contracts can help mitigate the ‘problem’ of mismatched expectations and their negative consequences. In this chapter, I review literature on doctoral supervisory relationships and highlight the paucity of research on the psychological contract. To address this, I present an autoethnographic, mixed-methods approach exploring expectations and obligations from student and supervisor perspectives. Offering insights into the complexity and diversity of doctoral psychological contracts, I conclude with recommendations for theory and practice.

Teacher misbehaviors disrupt learning (Kearney, Plax, Hays, & Ivey, 1991), and academic entitlement (AE) is on the rise (Greenberger, Lessard, Chen, & Farruggia, 2008). To better understand the online learning context, this study measures AE, perceptions of teacher misbehaviors, and online students' expectations for a variety of common student–teacher interactions. 318 online graduate students report their expectations, and these vary with a student's level of AE. Given these findings, we offer strategies for teachers in online classrooms whose goals are to avoid teacher misbehaviors and foster productive student–teacher communicative relationships that contribute to, rather than work against, learning.

Our first goal is to discuss new information for national policymaking which may arise from the analyses of international achievement study data. The second is to illustrate this potential by exploring determinants of students' career plans in a cross-national perspective. Using neo-institutionalism as our theoretical framework, we propose that the influence of a global educational ideology encourages high levels of occupational ambitions among students. This is particularly the case in countries where the transfer of this ideology is supported by the reception of aid for education, where economic prosperity is at modest levels but the service sector employment is expanding. To explore this proposition, we analyze students' occupational expectations using the 2006 PISA surveys from 49 countries. We account for a broad range of possible determinants by estimating three-level hierarchical models in which students are clustered in schools and schools within countries. We find that at individual and school levels, ambition is positively correlated with economic and noneconomic resources. In contrast, students in poorer countries, where secondary education is not yet universally accessible, tend to be more ambitious. The global educational ideology, indicated by the reception of education-related aid, is associated with student career optimism, while students in affluent nations with less economic inequality have modest occupational plans. In addition, the rate of service sector expansion is positively related to high levels of ambition. These patterns hold even after we control for cross-national variation in the extent to which PISA respondents represent populations of 15-year-olds in their countries.

This chapter describes how conversational computer agents have been used in collaborative problem-solving environments. These agent-based systems are designed to (a) assess the students’ knowledge, skills, actions, and various other psychological states on the basis of the students’ actions and the conversational interactions, (b) generate discourse moves that are sensitive to the psychological states and the problem states, and (c) advance a solution to the problem. We describe how this was accomplished in the Programme for International Student Assessment (PISA) for Collaborative Problem Solving (CPS) in 2015. In the PISA CPS 2015 assessment, a single human test taker (15-year-old student) interacts with one, two, or three agents that stage a series of assessment episodes. This chapter proposes that this PISA framework could be extended to accommodate more open-ended natural language interaction for those languages that have developed technologies for automated computational linguistics and discourse. Two examples support this suggestion, with associated relevant empirical support. First, there is AutoTutor, an agent that collaboratively helps the student answer difficult questions and solve problems. Second, there is CPS in the context of a multi-party simulation called Land Science in which the system tracks progress and knowledge states of small groups of 3–4 students. Human mentors or computer agents prompt them to perform actions and exchange open-ended chat in a collaborative learning and problem-solving environment.