Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Project summary: Team Based Learning tutorials in S248 by Kate Nixon (18466555)

“…A secondary, but equally important, outcome of this tutorial style is students can build relationships with their peers, building a community within the module.</p><p dir="ltr">¹Team Based Learning Collaborative (2022) <i>Overview</i> available at: <a href="http://www.teambasedlearning.org/definition/" target="_blank">http://www.teambasedlearning.org/definition/</a> (Accessed: 1^st Sept 2022)</p><p dir="ltr">² Dorius et al (2021) ‘The readiness assurance process in online team-based learning classrooms’ <i>New Dir Teach Learn.…”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Four‐state Markov cohort-simulation model structure used to estimate the cost-effectiveness of a community-based support intervention to reduce virological failure in adolescents l... by Collin Mangenah (2282995)

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Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Tornado diagram of one-way sensitivity analysis. by Collin Mangenah (2282995)

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Zvandiri Markov Model Parameters. by Collin Mangenah (2282995)

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Survival curve showing the expected duration of time until death in each cohort. by Collin Mangenah (2282995)

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Four‐state Markov model parameter inputs. by Collin Mangenah (2282995)

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Decision tree showing allocation of adolescent cohort at 96 weeks (beginning of model). by Collin Mangenah (2282995)

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Effect of the intervention after 40 cycles (40 years). by Collin Mangenah (2282995)

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Transition probabilities for proportions of ALHIV moving between the three states and death. by Collin Mangenah (2282995)

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Cost-effectiveness modelling outputs (LYs and QALYs). by Collin Mangenah (2282995)

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ICER at different time horizons (5, 10, 15, 20 and lifetime). by Collin Mangenah (2282995)

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Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Variability in performance and response to task dynamics. by Daniel Ramandi (10047543)

Table 2_Workforce outcomes among substance use peer supports: a scoping review of individual and organizational influences.docx by Justin S. Bell (20405030)

“…Future efforts to foster a sustainable peer workforce should focus on improving peer workers’ well-being through organizational support, professional development, and targeted interventions based on occupational health theories.…”