Early career teacher induction: Supporting precarious teachers. This project aims to investigate the ways in which Australian induction policies support precariously employed early career teachers to effectively manage student classroom behaviour. This project expects to generate new knowledge of workforce development and induction experiences of early career teachers employed on casual and short-term contracts. Expected outcomes of this project include alternative policy and practice recommenda ....Early career teacher induction: Supporting precarious teachers. This project aims to investigate the ways in which Australian induction policies support precariously employed early career teachers to effectively manage student classroom behaviour. This project expects to generate new knowledge of workforce development and induction experiences of early career teachers employed on casual and short-term contracts. Expected outcomes of this project include alternative policy and practice recommendations to support the transition of insecure replacement teachers within the profession. The benefits of this research include, improving teachers’ classroom management practices; the retention of new teachers; improving teacher workforce development; and building a healthier education system. Read moreRead less
Artificial intelligence in education: Democratising policy. The rapid introduction of artificial intelligence into education is occurring with inadequate policy support. Additionally, there is a lack of stakeholder input into decisions about the use of AI in education. Utilising social science and data science approaches, this project aims to democratise policy about AI in education by building tools to monitor policies, and developing collaborative policy making methods. The expected outcomes i ....Artificial intelligence in education: Democratising policy. The rapid introduction of artificial intelligence into education is occurring with inadequate policy support. Additionally, there is a lack of stakeholder input into decisions about the use of AI in education. Utilising social science and data science approaches, this project aims to democratise policy about AI in education by building tools to monitor policies, and developing collaborative policy making methods. The expected outcomes include publicly available policy resources to anticipate, and respond to, the role of AI in education, and participatory frameworks for policy making. The benefits include informed stakeholder engagement, and concrete policy recommendations that are globally relevant and adaptable to the Australian context.Read moreRead less