Jerry Maroulis
Biographic Data
| ID | 8854729 |
|---|---|
| NAME | Jerry Maroulis |
| GIVEN NAMES | Jerry |
| FAMILY NAME | Maroulis |
| SIGNATURE | MAROULIS J |
| AFFILIATIONS | Learning and Teaching, Federation University |
| ORCID | 0000-0002-6039-8693 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Assessment validity in the age of generative artificial intelligence
Generative artificial intelligence (GenAI) presents significant challenges to assessment validity in higher education. In response, universities worldwide have invested heavily in risk-mitigation strategies. However, such efforts often prove insufficient given the rapid and on-going development of GenAI capabilities, prompting sustained debate about how assessment in higher education can remain valid in this evolving landscape. At the same time, …
An analysis of Australia’s carbon pollution reduction scheme
The authors review the decision‐making since the Labour Government came into office (November 2007). The Australian Government’s ‘Carbon Pollution Reduction Scheme’ White Paper (15 December 2008) proposes that an Australian Emissions Trading Scheme (AETS) be implemented in mid‐2010. Acknowledging that the scheme is comprehensive, the paper finds that in many cases, Australia will take a softer approach to climate change through the AETS than the …
No prominent works on this page.
An analysis of Australia’s carbon pollution reduction scheme
The authors review the decision‐making since the Labour Government came into office (November 2007). The Australian Government’s ‘Carbon Pollution Reduction Scheme’ White Paper (15 December 2008) proposes that an Australian Emissions Trading Scheme (AETS) be implemented in mid‐2010. Acknowledging that the scheme is comprehensive, the paper finds that in many cases, Australia will take a softer approach to climate change through the AETS than the …
Assessment validity in the age of generative artificial intelligence
Generative artificial intelligence (GenAI) presents significant challenges to assessment validity in higher education. In response, universities worldwide have invested heavily in risk-mitigation strategies. However, such efforts often prove insufficient given the rapid and on-going development of GenAI capabilities, prompting sustained debate about how assessment in higher education can remain valid in this evolving landscape. At the same time, …
Academic integrity and plagiarism (1 work) · Algorithm (1 work) · Alternative assessment (1 work) · Biology (1 work) · Carbon fibers (1 work) · Computer Science (1 work) · Ecology (1 work) · Ecology (1 work) · Educational assessment (1 work) · Engineering (1 work)