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This chapter argues that there are many, just many many variables which contribute to academic performance as measured in degree outcome, and, as such, simple bivariate analysis is inappropriate. We use structural equation modelling, and explore the contribution of academic behavioural confidence, to make the point that it does contribute to academic performance, but to a lesser extent than self-efficacy theory argues. We suggest that this is because degree outcome is made up of many efficacy variables, which we argue are better captured overall in academic behavioural confidence.

There is a growing demand in industry for engineering graduates who can think “sustainably.” However, there are many barriers to developing assessment that fosters sustainability learning in engineering classrooms. There is no consensus on the definition of sustainability and its key competencies and teaching resources are limited.

Staff are unclear about what to teach, how to teach, and how to assess learning. Assessment is an integral part of teaching and learning and should be planned from the earliest stages, but this is rarely done. Engineering relies heavily on traditional assessments such as tests and examinations, but these are known to encourage surface learning. Sustainability is complex, multidisciplinary, and needs context, which requires higher-order thinking characteristic of deep learning.

Current assessment types for sustainability include examinations, case study, concept maps, and project-based learning. However, more research is needed to develop best practice assessments. Recommendations for teaching approach are to use a rigorous approach to instructional design, use a systems approach, and use a teaching model that promotes deep learning, incorporates context, and promotes alignment of learning objectives and assessment. Community-oriented assessments are recommended that feature the interdisciplinarity and complexity of sustainability and promote higher-order thinking.

Student populations in higher education in the United States have become increasingly diverse as a result of demographic changes. As a result, educators need an understanding of the background and characteristics of these demographic subgroups in order to improve the quality of their education. Students’ approaches to learning affect their quality of learning and are influenced by their perceptions of the learning environment and assessment. The present study extends prior research by examining the approaches to learning, assessment preferences, and the relationship between approaches to learning and assessment preferences of intermediate accounting students enrolled in a public university in the United States with a diverse student population. Students with higher deep approaches to learning had higher preferences for assessment involving higher-order thinking tasks, integrated assessment, and nonconventional assessment. Students with higher surface approaches to learning had lower preferences for assessment involving higher-order thinking tasks. The differences in these relationships for subgroups of students defined by citizenship, age, gender, and race are presented. The implications of the results for teaching and learning in accounting education are discussed.