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The purpose of this chapter is to extend research and theory on learning and performance orientations to multiple levels of analysis. We begin by introducing a model describing the impact of individual learning and performance orientations on attentional focus, response to failure, experimentation, and motivation, and identify potential sources of these orientations. We then describe how learning and performance orientations are linked to incremental and profound change, and theoretically based propositions are presented to guide future research efforts. Leadership, organizational learning, and strategic human resource management are discussed in relation to the model, and implications of the framework for future research and practice are revealed.

This chapter defines a learning culture and discusses the relationship between knowledge and learning. The authors explain why learning is essential to bringing knowledge to life and incentivizing knowledge flows and use. The chapter addresses the interplay between knowledge and learning cultures. A key point in the chapter is the value of mistakes as learning opportunities. The authors explain how mistakes are viewed in the industrial economy and how this perspective impedes critical organizational learning. Specifically, we define mistakes, explain the double cognitive bias of mistakes, explain the tendency and impact of hiding mistakes, the side effects of double mistake bias, learn to learn from mistakes, and take on the challenge of reconciling mistake acceptance and avoidance. Finally, the chapter addresses the importance of cultivating a learning climate to realize your learning culture.

Performance feedback about whether responses are correct or incorrect provides valuable information to help guide learning. Although feedback itself has no extrinsic value, it can produce subjective feelings similar to “rewards” and “punishments.” Therefore, feedback can play both an informative and a motivational role. Over the past decade, researchers have identified a neural circuit that processes reward value and promotes reinforcement learning, involving target regions of dopaminergic input (e.g., striatum and ventromedial prefrontal cortex). Importantly, this circuit is engaged by performance feedback even in the absence of reward. Recent research suggests that feedback-related brain activity can be modulated by motivational context, such as whether feedback reflects goal achievement, whether learners are oriented toward the informative versus evaluative aspect of feedback, and whether individual learners are motivated to perform well relative to their peers. This body of research suggests that the brain responds flexibly to feedback, based on the learner’s goals.

Work-integrated learning (WIL) and service learning are widespread approaches to experiential, practice-based learning in Australia. Both are associated with extensive bodies of research that support their benefits to students, industry, and the community at large. What is less explored, however, is the accessibility of such experiences. In Australia, there are several groups of students that are at a disadvantage in terms of participation in WIL and service learning. When considering access to higher education as an emerging human right, the importance of addressing these inequalities becomes even more clear.

This chapter draws on case studies of pedagogical and curriculum changes that challenge existing power structures from within the curriculum and improve the accessibility and inclusiveness of WIL. This includes a research project that informs redesigning WIL experiences to better suit the needs of students including, a pilot project to improve international student access to service learning, and the development of a Community Internship module that weaves First Peoples’ knowledge and perspectives throughout. While by no means exhaustive, these cases represent the start of ensuring that all aspects of higher education, including experiential, practice-based aspects, are accessible to all students.

This chapter introduces a new theoretical framework for developing emotion-related abilities according to the emotional intelligence (EI) construct definition of Mayer, Salovey, and Caruso (2006). The awareness, reflection, and management (ARM) model has been devised and demonstrates a triadic cycle of emotional ARM relating to affect, cognition, and behavior. The ARM model constitutes an approach to nurture emotion-related abilities (ability EI) and responds to criticism raised by Zeidner, Matthews, and Roberts (2009). The ARM Theory was corroborated by both learning theory and schools of counselling (SOC). The potential to develop emotion-related abilities in emotional awareness, reflection and reasoning, coping and management is discussed.