New Advancements in Medical Education

Special Issue Editors


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Guest Editor
Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht (BCRM-UMCU), Utrecht University, 3584 CG Utrecht, The Netherlands
Interests: pharmacology teaching; medical education; scholarship of teaching and learning

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Guest Editor
Department of Physiology and Pharmacology, Karolinska Institutet, Solnavägen 9, 171 65 Solna, Sweden
Interests: pharmacology; medical education; pedagogy; teaching and learning

Special Issue Information

Dear Colleagues,

The medical curriculum prepares undergraduates for the challenges they are about to face in the real world. Not only do these challenges change with time, the characteristics of students and patients also change. Thus arises the need to adjust our teaching methods in order to provide the best level of care for patients and simultaneously support medical students in navigating this complex task. Modern day challenges from the societal perspective which could impact healthcare range from the greying of the population, the expected impact of climate change and persistent inequalities and discrimination in healthcare access. How each medical curriculum addresses modern-day healthcare-related challenges might be different and is therefore of value to share with other educators. This will not only inspire educators, but could also be an invitation to collaborate and share teaching experiences or even materials.

The aim of this Special Issue is to bring together the diversity of knowledge, experience, and expertise on teaching methodologies employed to address the current societal needs.

Articles may address, but are not limited to the following topics:

  • Closer ties with patients and community;
  • Technology and artificial intelligence in healthcare;
  • Planetary health in the medical curriculum;
  • Student-centered and active learning;
  • Artificial intelligence as a tool in the medical curriculum;
  • Team-based learning (TBL) in the medical curriculum.

Dr. Rahul Pandit
Dr. Duarte Ferreira
Guest Editors

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Keywords

  • healthcare challenges
  • student-centered learning
  • digital learning tools
  • community-engaged learning
  • artificial intelligence
  • virtual reality
  • patient-centered teaching

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Published Papers (3 papers)

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Research

19 pages, 1419 KiB  
Article
Community-Engaged Learning Within the Medical Curriculum: Evaluating Learning Outcomes and Implementation Challenges
by Rahul Pandit, Rens L. Essers and Helena J. M. Pennings
Int. Med. Educ. 2025, 4(1), 3; https://doi.org/10.3390/ime4010003 - 26 Feb 2025
Viewed by 459
Abstract
Community engaged learning (CEL) is a teaching methodology which aims to bridge the gap between academia and society by collaborating on community-based projects. Inspired by theories of experiential learning and social constructivism, CEL celebrates learning by doing and is a rather novel teaching [...] Read more.
Community engaged learning (CEL) is a teaching methodology which aims to bridge the gap between academia and society by collaborating on community-based projects. Inspired by theories of experiential learning and social constructivism, CEL celebrates learning by doing and is a rather novel teaching methodology within the predominantly theoretical bachelor medical curriculum. Despite CEL’s potential benefits, its implementation faces significant challenges. Here, we investigated how students, accustomed to traditional academic teaching, learn during CEL-infused courses, specifically studying student perception of their learning and identifying the various facilitators and barriers to learning during CEL. The study conducted at Utrecht University’s Faculty of Medicine included second-year medical students participating in a newly introduced CEL course. Using thematic analysis, the study analyzed students’ written reflections collected before and after completion of the course. CEL contributed to developing valuable competencies like empathy, leadership, and communication skills, which go beyond the realm of textbook and classroom-based knowledge. The study further identified key barriers and facilitators, both at personal and organizational levels influencing learning outcome of students. Based on these data, several recommendations have been formulated for all involved parties (students, academic institutions, community partners) which could contribute towards a sustainable embedding of CEL. Full article
(This article belongs to the Special Issue New Advancements in Medical Education)
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20 pages, 2510 KiB  
Article
Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study
by Malik Sallam, Kholoud Al-Mahzoum, Yousef Meteb Almutairi, Omar Alaqeel, Anan Abu Salami, Zaid Elhab Almutairi, Alhur Najem Alsarraf and Muna Barakat
Int. Med. Educ. 2024, 3(4), 406-425; https://doi.org/10.3390/ime3040031 - 9 Oct 2024
Cited by 2 | Viewed by 3008
Abstract
Despite the potential benefits of generative artificial intelligence (genAI), concerns about its psychological impact on medical students, especially about job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed to examine the specific fears, anxieties, mistrust, and ethical concerns [...] Read more.
Despite the potential benefits of generative artificial intelligence (genAI), concerns about its psychological impact on medical students, especially about job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed to examine the specific fears, anxieties, mistrust, and ethical concerns medical students harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 medical students studying in Jordan across various academic years, employing a structured self-administered questionnaire with an internally consistent FAME scale—representing Fear, Anxiety, Mistrust, and Ethics—comprising 12 items, with 3 items for each construct. Exploratory and confirmatory factors analyses were conducted to assess the construct validity of the FAME scale. The results indicated variable levels of anxiety towards genAI among the participating medical students: 34.1% reported no anxiety about genAI‘s role in their future careers (n = 56), while 41.5% were slightly anxious (n = 61), 22.0% were somewhat anxious (n = 36), and 2.4% were extremely anxious (n = 4). Among the FAME constructs, Mistrust was the most agreed upon (mean: 12.35 ± 2.78), followed by the Ethics construct (mean: 10.86 ± 2.90), Fear (mean: 9.49 ± 3.53), and Anxiety (mean: 8.91 ± 3.68). Their sex, academic level, and Grade Point Average (GPA) did not significantly affect the students’ perceptions of genAI. However, there was a notable direct association between the students’ general anxiety about genAI and elevated scores on the Fear, Anxiety, and Ethics constructs of the FAME scale. Prior exposure to genAI and its previous use did not significantly modify the scores on the FAME scale. These findings highlight the critical need for refined educational strategies to address the integration of genAI into medical training. The results demonstrate notable anxiety, fear, mistrust, and ethical concerns among medical students regarding the deployment of genAI in healthcare, indicating the necessity of curriculum modifications that focus specifically on these areas. Interventions should be tailored to increase familiarity and competency with genAI, which would alleviate apprehensions and equip future physicians to engage with this inevitable technology effectively. This study also highlights the importance of incorporating ethical discussions into medical courses to address mistrust and concerns about the human-centered aspects of genAI. In conclusion, this study calls for the proactive evolution of medical education to prepare students for new AI-driven healthcare practices to ensure that physicians are well prepared, confident, and ethically informed in their professional interactions with genAI technologies. Full article
(This article belongs to the Special Issue New Advancements in Medical Education)
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8 pages, 1772 KiB  
Article
Assessment of Postgraduate Academic Productivity Following a Longitudinal Research Program in a Medical School Curriculum
by Hannah Ong, Shaquille Charles, Joshua Ong, Baraa Nawash, Shavin Thomas and John R. Fowler
Int. Med. Educ. 2024, 3(2), 152-159; https://doi.org/10.3390/ime3020013 - 18 Apr 2024
Viewed by 1087
Abstract
Early involvement and exposure to evidence-based research during medical school have been shown to play a formative role in students’ holistic development as future physicians. While there are medical schools encouraging research initiatives, few programs implement 4-year longitudinal research in the curriculum. Here, [...] Read more.
Early involvement and exposure to evidence-based research during medical school have been shown to play a formative role in students’ holistic development as future physicians. While there are medical schools encouraging research initiatives, few programs implement 4-year longitudinal research in the curriculum. Here, the authors categorized graduates as pre-LRP or post-LRP and utilized PubMed’s Advanced Search Builder to identify each graduate’s publications with a time frame that began from 1 year to 7 years post-graduation. The data were then analyzed to identify any significant changes between these two cohorts. A total of 1022 medical school graduates from an ACGME-accredited U.S. medical school were included in this study. The average rate of publications annually was 0.47 + 1.43 (pre-LRP) and 0.57 + 1.40 (post-LRP). Additionally, the average probability of at least one publication in a given year was 22% (95% CI: 0.21–0.23) pre-LRP and 27% (95% CI: 0.25–0.28) post-LRP. Lastly, the average probability of at least one first-author publication in a given year was 12.2% (95% CI: 0.12–0.13) pre-LRP and 15% (95% CI: 0.14–0.16) post-LRP. Overall, participation in a mentored longitudinal research program during medical school demonstrated a positive trend in the number and rate of publications. The implementation of a mentored longitudinal research program can contribute to increased research productivity in physicians’ early careers, leading to the development of important research skills, the fostering of commitment in scholarly work, and a deeper understanding of evidence-based medicine. Full article
(This article belongs to the Special Issue New Advancements in Medical Education)
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