Advances in artificial intelligence (AI) are overtaking the progress in teaching and assessment. Traditional assignments, such as written reports and posters, have become obsolete as these can be created almost entirely using AI tools. As educators, it is imperative that we devise out-of-the-box assignments to give students the opportunity to demonstrate their understanding, ability to synthesize and think critically, while promoting the ethical and innovative use of AI. In place of a traditional literature review essay, our junior medical students were given a structured assignment that required the use of ChatGPT to write a report, a critical analysis of the output, and the creation of a final report using their own research combined with the AI output. Students were provided with clear guidelines in writing and in the form of an in-person presentation, in addition to guidance during the process of the assignment. Using ChatGPT as part of constructing an essay and critically analyzing its output was a beneficial experience for the students, allowing them to recognize the utility and limitations of the widely available version of the AI platform. It also provided them with a sense of openness to new technologies that will support their academic journey. This structure could be generalized for use in a wider scope, to promote the effective and ethical use of AI. Implementation of such strategies to develop various types of assessments involving student coursework is at the center of revamping our medical school's assessments. This successful endeavor represents the spark of innovation at our school which is constantly evolving to address the ever-changing needs of our medical programs.

Download full-text PDF

Source
http://dx.doi.org/10.1080/0142159X.2024.2421997DOI Listing

Publication Analysis

Top Keywords

critical analysis
8
let's chat!
4
chat! integrating
4
integrating chatgpt
4
medical
4
chatgpt medical
4
medical student
4
student assignments
4
assignments enhance
4
enhance critical
4

Similar Publications

Harnessing Raman spectroscopy and multimodal imaging of cartilage for osteoarthritis diagnosis.

Sci Rep

December 2024

School of Chemistry, Faculty of Engineering and Physical Sciences, University of Southampton, Life Sciences Building 85, University Road, Highfield, Southampton, SO17 1BJ, UK.

Osteoarthritis (OA) is a complex disease of cartilage characterised by joint pain, functional limitation, and reduced quality of life with affected joint movement leading to pain and limited mobility. Current methods to diagnose OA are predominantly limited to X-ray, MRI and invasive joint fluid analysis, all of which lack chemical or molecular specificity and are limited to detection of the disease at later stages. A rapid minimally invasive and non-destructive approach to disease diagnosis is a critical unmet need.

View Article and Find Full Text PDF

Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neuro-developmental disorder that often persists into adulthood. Moreover, it is frequently accompanied by bipolar disorder (BD) as well as borderline personality disorder (BPD). It is unclear whether these disorders share underlying pathomechanisms, given that all three are characterized by alterations in affective states, either long or short-term.

View Article and Find Full Text PDF

Predictors of high-flow nasal cannula (HFNC) failure in severe community-acquired pneumonia or COVID-19.

Intern Emerg Med

December 2024

Department of Respiratory Medicine and Allergology, University Hospital, Goethe University, Frankfurt, Germany.

The aim was to identify predictors for early identification of HFNC failure risk in patients with severe community-acquired (CAP) pneumonia or COVID-19. Data from adult critically ill patients admitted with CAP or COVID-19 and the need for ventilatory support were retrospectively analysed. HFNC failure was defined as the need for invasive ventilation or death before intubation.

View Article and Find Full Text PDF

This study aimed to investigate the relationship between unintentional weight loss and 30-day mortality in sepsis patients in the intensive care unit (ICU). A retrospective cohort study sepsis patients in the ICU was conducted using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, involving 1842 sepsis patients in the ICU. We utilized multivariate Cox regression analysis to evaluate the association between unintentional weight loss and the risk of 30-day mortality.

View Article and Find Full Text PDF

Individuals afflicted with heart failure complicated by sepsis often experience a surge in blood glucose levels, a phenomenon known as stress hyperglycemia. However, the correlation between this condition and overall mortality remains unclear. 869 individuals with heart failure complicated by sepsis were identified from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and categorized into five cohorts based on their stress hyperglycemia ratio (SHR).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!