{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/DE260100191"},"data":{"type":"grant-details","id":"DE260100191","attributes":{"code":"DE260100191","administering-organisation":"Monash University","announcement-administering-organisation":"Monash University","scheme-name":"Discovery Early Career Researcher Award","grant-status":"Active","funding-commencement-year":2026,"years-funded":3,"project-start-date":"2026-01-31","anticipated-end-date":"2029-01-30","grant-summary":"Authentic Assessments for the Age of Generative Artificial Intelligence. This project aims to collect, analyse, and represent human-artificial intelligence (AI) writing processes to improve assessment practice in higher education. This project expects to generate knowledge in educational psychology and assessment by combining human-centred design, ethnographic observation, and learning analytics. Expected outcomes of this project include a cross-platform tool for assessing collaborative human-AI writing, insights into authentic human-AI collaboration, improved AI literacy for students and educators, and protocols for the ethical assessment of learning processes. This project will benefit students, educators, and employers by creating more feasible and valid assessments of AI-enhanced skills.","funding-current":533767.00,"funding-at-announcement":529528,"investigators-current":[{"title":"Dr","firstName":"Zachari","familyName":"Swiecki","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0002-7414-5507 "}],"investigators-at-announcement":[{"title":"Dr","firstName":"Zachari","familyName":"Swiecki","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0002-7414-5507 "}],"organisations-current":[{"organisationName":"Monash University","roleName":"Administering Organisation","state":"VIC"}],"organisations-at-announcement":[{"organisationName":"Monash University","roleName":"Administering Organisation","state":"VIC"}],"field-of-research":[{"isPrimary":true,"code":"3904","name":"Specialist Studies In Education","type":"FOR20"},{"isPrimary":false,"code":"390405","name":"Educational Technology and Computing","type":"FOR20"},{"isPrimary":false,"code":"390408","name":"Learning Analytics","type":"FOR20"},{"isPrimary":false,"code":"390409","name":"Learning Sciences","type":"FOR20"}],"socio-economic-objective":[{"code":"160102","name":"Higher Education","type":"SEO20"},{"code":"160301","name":"Assessment, Development and Evaluation of Curriculum","type":"SEO20"},{"code":"160304","name":"Teaching and Instruction Technologies","type":"SEO20"}],"international-collaboration":["United States of America"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"AI can now create convincing evidence of student learning. One solution is to move from assessing products to assessing process—the steps students take to create assessment products. However, students lack feasible and ethical ways of documenting their process, and educators lack the resources, time, and ability to analyse and understand this new kind of evidence. This project aims to collect, analyse, and represent collaborative human-AI writing processes to improve assessment practice in higher education. This project will boost the economy by providing a more valid solution to training and assessing a workforce increasingly dependent on AI. Commercially, this project will jumpstart the development of the next generation of EdTech products that focus on learning processes. Socially, this project will inform policies and practices in higher education related to assessment in this new age of AI. Culturally, this project will foster critical AI literacies and destigmatise student AI use. The pathway to impact involves direct benefits to study participants, then the host institution, then higher education institutions across the country and the world. Impact will be supported through dissemination of results at workshops, conferences, and tradeshows and the open-source or commercial release of the technology. "}}}