Elizabeth Yuriev
Biographic Data
| ID | 8903067 |
|---|---|
| NAME | Elizabeth Yuriev |
| GIVEN NAMES | Elizabeth |
| FAMILY NAME | Yuriev |
| SIGNATURE | YURIEV E |
| AFFILIATIONS | Monash University |
| ORCID | 0000-0002-3909-0379 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1995 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
STEMing evidence-based study strategies
Despite substantial evidence supporting the efficacy of evidence-based study strategies in enhancing student learning outcomes, research reporting their integration into Science, Technology, Engineering, and Mathematics (STEM) higher education courses remains limited. This gap often arises from educators’ limited familiarity with study strategy practices, as well as the challenges in adapting general principles to diverse disciplinary contexts. T…
Using GenAI for Objective Structured Clinical Examination (OSCE) Preparation
This paper explored students' use of Generative Artificial Intelligence (GenAI) for Objective Structured Clinical Examinations (OSCE) preparation using a retrospective cohort study conducted over two years (2023–2024) across Australia and Malaysia. Results analysed OSCE grades and written self-reflections from students. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied as a lens to interpret qualitative data using s…
Co-creating custom GPTs
This study explores how undergraduate students co-created and evaluated custom Generative AI (GenAI) tools within a students-as-partners (SaP) framework. Undergraduate participants, within a Summer Scholarship program and in a placement coursework unit, collaborated with academic staff to design, test, and refine custom Generative Pre-trained Transformer chatbots (cGPTs), aligned with pedagogical goals. Using autoethnographic methodology and them…
The impact of generative AI on health professional education
'Helpa'
A procedure which allows academic staff to obtain rapid student assessment of lecturing performance has been developed and tested over a period of three years. A computer program has been devised which allows the data to be utilised in a variety of ways. These include self-evaluation, job applications, promotion applications or group discussions. The simplicity of the questionnaire and the ease of processing and documentation have been well recei…
No prominent works on this page.
'Helpa'
A procedure which allows academic staff to obtain rapid student assessment of lecturing performance has been developed and tested over a period of three years. A computer program has been devised which allows the data to be utilised in a variety of ways. These include self-evaluation, job applications, promotion applications or group discussions. The simplicity of the questionnaire and the ease of processing and documentation have been well recei…
The impact of generative AI on health professional education
STEMing evidence-based study strategies
Despite substantial evidence supporting the efficacy of evidence-based study strategies in enhancing student learning outcomes, research reporting their integration into Science, Technology, Engineering, and Mathematics (STEM) higher education courses remains limited. This gap often arises from educators’ limited familiarity with study strategy practices, as well as the challenges in adapting general principles to diverse disciplinary contexts. T…
Using GenAI for Objective Structured Clinical Examination (OSCE) Preparation
This paper explored students' use of Generative Artificial Intelligence (GenAI) for Objective Structured Clinical Examinations (OSCE) preparation using a retrospective cohort study conducted over two years (2023–2024) across Australia and Malaysia. Results analysed OSCE grades and written self-reflections from students. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied as a lens to interpret qualitative data using s…
Co-creating custom GPTs
This study explores how undergraduate students co-created and evaluated custom Generative AI (GenAI) tools within a students-as-partners (SaP) framework. Undergraduate participants, within a Summer Scholarship program and in a placement coursework unit, collaborated with academic staff to design, test, and refine custom Generative Pre-trained Transformer chatbots (cGPTs), aligned with pedagogical goals. Using autoethnographic methodology and them…
Evaluation of Teaching Practices (2 works) · Higher education (2 works) · Artificial Intelligence in Healthcare and Education (1 work) · Autoethnography (1 work) · Biomedical and Engineering Education (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Computer Science (1 work) · Coursework (1 work) · Data collection (1 work) · Digital Education and Society (1 work)