{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/DE260100248"},"data":{"type":"grant-details","id":"DE260100248","attributes":{"code":"DE260100248","administering-organisation":"The University of Melbourne","announcement-administering-organisation":"The University of Melbourne","scheme-name":"Discovery Early Career Researcher Award","grant-status":"Active","funding-commencement-year":2026,"years-funded":3,"project-start-date":"2026-12-15","anticipated-end-date":"2030-09-13","grant-summary":"Understanding the Impact of Generative AI on Curiosity-Driven Learning. This project aims to assess beneficial and detrimental effects of Generative Artificial Intelligence (GenAI) on curiosity-driven learning. The project expects to generate new knowledge about how GenAI use impacts learners’ curiosity, including how effects differ by use strategies and individual differences. Expected outcomes include improved scientific consensus around how the technology can maximise curiosity in learning, which will be used to develop documentation advising key stakeholders such as educators and governments. This should benefit the development of education policy and inform individual learning strategies, supporting societal wellbeing and the advancement of human ingenuity. ","funding-current":530107.00,"funding-at-announcement":525960,"investigators-current":[{"title":"Dr","firstName":"Hayley","familyName":"Jach","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0001-6808-8713 "}],"investigators-at-announcement":[{"title":"Dr","firstName":"Hayley","familyName":"Jach","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0001-6808-8713 "}],"organisations-current":[{"organisationName":"The University of Melbourne","roleName":"Administering Organisation","state":"VIC"}],"organisations-at-announcement":[{"organisationName":"The University of Melbourne","roleName":"Administering Organisation","state":"VIC"}],"field-of-research":[{"isPrimary":true,"code":"5204","name":"Cognitive and Computational Psychology","type":"FOR20"},{"isPrimary":false,"code":"520403","name":"Learning, Motivation and Emotion","type":"FOR20"},{"isPrimary":false,"code":"520503","name":"Personality and Individual Differences","type":"FOR20"}],"socio-economic-objective":[{"code":"160102","name":"Higher Education","type":"SEO20"},{"code":"220403","name":"Artificial Intelligence","type":"SEO20"},{"code":"280121","name":"Expanding Knowledge In Psychology","type":"SEO20"}],"international-collaboration":["Germany","United States of America"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"Curiosity is a foundational pillar in education, with far-reaching consequences for students’ achievement and their engagement in life-long learning. Generative Artificial Intelligence (GenAI) is being increasingly adopted into educational practice in Australian universities, but we have little understanding of how use of this technology impacts motivational processes like curiosity. This project triangulates evidence via literature integration, randomised experiment, and a meeting of experts to gain a holistic and robust understanding of the benefits and potential risks of this new technology. Findings of the project will inform policy guidelines that highlight understanding in a format that is accessible for educators, policymakers, students and members of the community. Understanding the strategies and contexts in which GenAI can help or hinder curiosity-driven learning will help to optimise learning systems and educational structures and processes, thereby improving student academic outcomes and encouraging lifelong learning practices. Findings will provide feasible and cost-effective strategies to employ GenAI that will equip Australian universities to effectively navigate the upsurge in this technology and empower students’ in their personalised learning journeys. The project will position Australia as a leader in the implementation of GenAI in education while safeguarding Australian education bodies and societies from potential risks associated with this technology."}}}