AI-enabled Education

ITIC Research is the AI enabled Process (AIP) Research Centre industry stream, for AI enabled Education and has provided a 4 year research grant to Macquarie University, for the "Intelligence-led Teaching and Learning" project. (Linkage: ITIC Training and Resourcing and Macquarie University, 2019-2023). There are several AIP industry streams including AI-enabled Policing, AI-enabled Banking and AI-enabled Education and AI-enabled Industry, which are led by the AIP research Center’s industry partners, including Australian Federal Police (AFP), TATA Consultancy Services (TCS), ITIC and Faethm.

The core of the idea for AI-enabled Education Stream is to advance the scientific understanding of Intelligence-led and AI-enabled teaching and learning and to identify novel applications of AI and Data Science (from process automation, to cognitive assistants and smart schools) in education.

AIP Research Centre

Business processes, i.e., a set of coordinated tasks and activities carried out manually/automatically to achieve a business objective or goal, are central to the operation of public and private enterprises. Modern processes are often extremely complex, data-driven and knowledge-intensive. In such processes, it is not sufficient to focus on data storage/analysis; and the knowledge workers will need to collect, understand and relate the big data (from open, private, social and IoT data islands) to process analysis.

Today, the advancement in Artificial Intelligence (AI) and Data Science has the potential to transform business processes in fundamental ways; by assisting knowledge workers in communicating analysis findings, supporting evidences and to make decisions. The core of the idea for AI-enabled Processes (AIP) Research Centre is to advance the scientific understanding of AI-enabled processes and to assist organizations identifying novel applications of AI and Data Science: from process automation, to cognitive assistants and smart entities. Our research covers the full spectrum of topics related to AI and Processes, and to deriving knowledge from process related data: theory, algorithms, applications and software infrastructure.