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The outbreak of Coronavirus disease 2019(COVID-19) necessitated an abrupt transition from on campus, face-to-face sessions to online, distance learning in higher education institutions. The purpose of this study was to investigate the perceptions of postgraduate dental learners and instructors about the transition to distance learning, including the changes to the learning and teaching and its efficaciousness. A convergent mixed methods approach to research was utilized. All the instructors and postgraduate learners in a dental college were invited to participate in an online survey. Quantitative data was analyzed using descriptive and inferential analyses on SPSS for Windows version 25.0, and for the responses to the open-ended questions, multi-staged thematic analysis was utilized. Both groups of stakeholders: learners and instructors, were satisfied with the rapid transition to distance learning due to COVID-19. Instructors were significantly more satisfied than the learners. The stakeholders adapted well to the change. The perception of the stakeholders regarding the case-based scenarios significantly influenced their level of satisfaction. As perceived by the stakeholders, the transition to distance learning entailed advantages and challenges. Going through the experience enabled the stakeholders to develop informed opinions of how best to sustain learning and teaching irrespective of how matters unfold in relation to the pandemic. In conclusion, the worldwide dental education community faced unprecedented challenges due to the onset of COVID-19. From a macro perspective, decision-makers must not miss out on the valuable opportunities, inherent in the experience, to reinforce curriculums, and maximize learning and teaching.

Virtual reality (VR) is a technology that allows the user to explore and manipulate computer-generated real or artificial three-dimensional multimedia sensory environments in real time to gain practical knowledge that can be used in clinical practice. The aim of this systematic review was to evaluate the effectiveness of VR for educating health professionals and improving their knowledge, cognitive skills, attitudes, and satisfaction. We performed a systematic review of the effectiveness of VR in pre- and postregistration health professions education following the gold standard Cochrane methodology. We searched 7 databases from the year 1990 to August 2017. No language restrictions were applied. We included randomized controlled trials and cluster-randomized trials. We independently selected studies, extracted data, and assessed risk of bias, and then, we compared the information in pairs. We contacted authors of the studies for additional information if necessary. All pooled analyses were based on random-effects models. We used the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach to rate the quality of the body of evidence. A total of 31 studies (2407 participants) were included. Meta-analysis of 8 studies found that VR slightly improves postintervention knowledge scores when compared with traditional learning (standardized mean difference [SMD]=0.44; 95% CI 0.18-0.69; I =49%; 603 participants; moderate certainty evidence) or other types of digital education such as online or offline digital education (SMD=0.43; 95% CI 0.07-0.79; I =78%; 608 participants [8 studies]; low certainty evidence). Another meta-analysis of 4 studies found that VR improves health professionals' cognitive skills when compared with traditional learning (SMD=1.12; 95% CI 0.81-1.43; I =0%; 235 participants; large effect size; moderate certainty evidence). Two studies compared the effect of VR with other forms of digital education on skills, favoring the VR group (SMD=0.5; 95% CI 0.32-0.69; I =0%; 467 participants; moderate effect size; low certainty evidence). The findings for attitudes and satisfaction were mixed and inconclusive. None of the studies reported any patient-related outcomes, behavior change, as well as unintended or adverse effects of VR. Overall, the certainty of evidence according to the GRADE criteria ranged from low to moderate. We downgraded our certainty of evidence primarily because of the risk of bias and/or inconsistency. We found evidence suggesting that VR improves postintervention knowledge and skills outcomes of health professionals when compared with traditional education or other types of digital education such as online or offline digital education. The findings on other outcomes are limited. Future research should evaluate the effectiveness of immersive and interactive forms of VR and evaluate other outcomes such as attitude, satisfaction, cost-effectiveness, and clinical practice or behavior change.

Virtual patients are interactive digital simulations of clinical scenarios for the purpose of health professions education. There is no current collated evidence on the effectiveness of this form of education. The goal of this study was to evaluate the effectiveness of virtual patients compared with traditional education, blended with traditional education, compared with other types of digital education, and design variants of virtual patients in health professions education. The outcomes of interest were knowledge, skills, attitudes, and satisfaction. We performed a systematic review on the effectiveness of virtual patient simulations in pre- and postregistration health professions education following Cochrane methodology. We searched 7 databases from the year 1990 up to September 2018. No language restrictions were applied. We included randomized controlled trials and cluster randomized trials. We independently selected studies, extracted data, and assessed risk of bias and then compared the information in pairs. We contacted study authors for additional information if necessary. All pooled analyses were based on random-effects models. A total of 51 trials involving 4696 participants met our inclusion criteria. Furthermore, 25 studies compared virtual patients with traditional education, 11 studies investigated virtual patients as blended learning, 5 studies compared virtual patients with different forms of digital education, and 10 studies compared different design variants. The pooled analysis of studies comparing the effect of virtual patients to traditional education showed similar results for knowledge (standardized mean difference [SMD]=0.11, 95% CI -0.17 to 0.39, I =74%, n=927) and favored virtual patients for skills (SMD=0.90, 95% CI 0.49 to 1.32, I =88%, n=897). Studies measuring attitudes and satisfaction predominantly used surveys with item-by-item comparison. Trials comparing virtual patients with different forms of digital education and design variants were not numerous enough to give clear recommendations. Several methodological limitations in the included studies and heterogeneity contributed to a generally low quality of evidence. Low to modest and mixed evidence suggests that when compared with traditional education, virtual patients can more effectively improve skills, and at least as effectively improve knowledge. The skills that improved were clinical reasoning, procedural skills, and a mix of procedural and team skills. We found evidence of effectiveness in both high-income and low- and middle-income countries, demonstrating the global applicability of virtual patients. Further research should explore the utility of different design variants of virtual patients.

Misinformation in health and health care contexts threatens public health by undermining initiatives, spreading dangerous behaviors, and influencing decision-making. Given its reach on online platforms and social media, there is growing demand for interventions addressing misinformation. Literature highlights the importance of theoretical underpinnings (frameworks and models) to guide the development of educational interventions targeting both the features of misinformation and the human traits that increase susceptibility. This review examines literature on online interventions targeting health misinformation to mitigate adverse public health impacts. It explores intervention types, population demographics, susceptibility-related human attributes, and misinformation characteristics addressed. It also identifies the theoretical underpinnings used and gaps in the literature. The review followed a methodological framework and adhered to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. A search strategy combining Medical Subject Headings (MeSH) and keywords was used to search five databases for studies published between 2018 and 2024. Identified studies underwent deduplication, title and abstract screening using predefined eligibility criteria, full-text screening, and data extraction. The initial search yielded 513 citations; 30 (5.8%) studies were included after screening. Of these, 19 (63%) focused on COVID-19 misinformation, 11 (37%) on other health contexts, and 1 (3%) addressed misinformation conceptually. Regarding intervention type, 22 (73%) used educational courses, 7 (23%) employed counter speech, and 1 (3%) used inoculation games, with some overlap. Sixteen (53%) interventions targeted characteristics of misinformation, categorized as content and presentation tactics, cognitive and psychological biases, social and cultural influences, and dissemination strategies. Seven (23%) interventions focused on specific demographics, while 14 (47%) addressed human attributes that heighten susceptibility. These attributes were grouped into knowledge and processing, emotional and psychological factors, and trust and social dynamics. Theoretical underpinnings guided intervention development in 23 (77%) studies, often overlapping in categories including inoculation and correction, education and cognition, motivation and emotion, behavior and persuasion, trust and belief, and learning design. Online interventions targeting health misinformation often share outcome goals and use overlapping strategies such as educational courses, counter speech, and inoculation games. Many adopt multifaceted approaches to address misinformation's complexity. However, gaps remain in tailoring interventions to misinformation characteristics that could improve specificity and impact. Few studies focus on human attributes contributing to belief in and spread of misinformation, particularly among vulnerable groups. While theoretical models are commonly cited, clearer reporting and stronger connections to intervention design are needed. Collaboration among intervention developers, theorists, and psychologists is recommended to enhance future interventions. RR2-10.31219/osf.io/mfujb.

Since the advent of artificial intelligence (AI) in 1955, the applications of AI have increased over the years within a rapidly changing digital landscape where public expectations are on the rise, fed by social media, industry leaders, and medical practitioners. However, there has been little interest in AI in medical education until the last two decades, with only a recent increase in the number of publications and citations in the field. To our knowledge, thus far, a limited number of articles have discussed or reviewed the current use of AI in medical education. This study aims to review the current applications of AI in medical education as well as the challenges of implementing AI in medical education. Medline (Ovid), EBSCOhost Education Resources Information Center (ERIC) and Education Source, and Web of Science were searched with explicit inclusion and exclusion criteria. Full text of the selected articles was analyzed using the Extension of Technology Acceptance Model and the Diffusions of Innovations theory. Data were subsequently pooled together and analyzed quantitatively. A total of 37 articles were identified. Three primary uses of AI in medical education were identified: learning support (n=32), assessment of students' learning (n=4), and curriculum review (n=1). The main reasons for use of AI are its ability to provide feedback and a guided learning pathway and to decrease costs. Subgroup analysis revealed that medical undergraduates are the primary target audience for AI use. In addition, 34 articles described the challenges of AI implementation in medical education; two main reasons were identified: difficulty in assessing the effectiveness of AI in medical education and technical challenges while developing AI applications. The primary use of AI in medical education was for learning support mainly due to its ability to provide individualized feedback. Little emphasis was placed on curriculum review and assessment of students' learning due to the lack of digitalization and sensitive nature of examinations, respectively. Big data manipulation also warrants the need to ensure data integrity. Methodological improvements are required to increase AI adoption by addressing the technical difficulties of creating an AI application and using novel methods to assess the effectiveness of AI. To better integrate AI into the medical profession, measures should be taken to introduce AI into the medical school curriculum for medical professionals to better understand AI algorithms and maximize its use.

Background. The effective development of healthcare competencies poses great educational challenges. A possible approach to provide learning opportunities is the use of augmented reality (AR) where virtual learning experiences can be embedded in a real physical context. The aim of this study was to provide a comprehensive overview of the current state of the art in terms of user acceptance, the AR applications developed and the effect of AR on the development of competencies in healthcare. Methods. We conducted an integrative review. Integrative reviews are the broadest type of research review methods allowing for the inclusion of various research designs to more fully understand a phenomenon of concern. Our review included multi-disciplinary research publications in English reported until 2012. Results. 2529 research papers were found from ERIC, CINAHL, Medline, PubMed, Web of Science and Springer-link. Three qualitative, 20 quantitative and 2 mixed studies were included. Using a thematic analysis, we've described three aspects related to the research, technology and education. This study showed that AR was applied in a wide range of topics in healthcare education. Furthermore acceptance for AR as a learning technology was reported among the learners and its potential for improving different types of competencies. Discussion. AR is still considered as a novelty in the literature. Most of the studies reported early prototypes. Also the designed AR applications lacked an explicit pedagogical theoretical framework. Finally the learning strategies adopted were of the traditional style 'see one, do one and teach one' and do not integrate clinical competencies to ensure patients' safety.

Background The value of interprofessional education (IPE) in nurturing healthcare professionals, and in shaping their professional identities, and their attitudes towards interdisciplinary teamwork and collaboration is established in the literature. IPE is an emerging concept in the Middle East and North Africa (MENA) region and is new to the United Arab Emirates (UAE). To date, the applicability and feasibility of IPE and of the corresponding collaborative practice in MENA countries remain largely unexamined. Purpose To investigate the effect of one of the first experiences of IPE in the UAE, which was purposefully designed in alignment with the principles of the Situated Learning Theory (SLT), on the readiness for interprofessional learning and collaboration among students of various healthcare disciplines in the UAE. Methods A pre-post intervention quantitative research design was adopted for this study. The intervention focused on communication skills, and consisted of 2 tailor-made case-based scenarios. A total of 90 students (40 medical, 16 nursing, 16 pharmacy, and 18 physiotherapy), spread across two sessions (1 session per academic year across 2 academic years), took part in the IPE intervention. Readiness for Interprofessional Learning Scale (RIPLS) was used as the pre- and post- intervention assessments; aggregate data was analyzed using SPSS. Results Of those who participated in the intervention (across both rounds), 77 participants responded to the pre-assessment (85. 6%) and 84 responded to the post-assessment (93. 3%). The IPE intervention under investigation significantly increased the level of readiness to engage in cross-disciplinary learning and collaboration among participating health professions’ students. In terms of the subscales, the participants’ openness to engage in teamwork was raised and their professional identity was fostered. Yet, no statistical significance around clarity of roles and responsibilities was detected. Conclusion The findings of this study encourage other universities in the MENA region to adopt IPE to improve future health professionals’ capacity to develop shared understanding and mutual respect within cross-disciplinary teams. This, ultimately, feeds into improved quality of care and patient outcomes.

It is forecasted that the skills and competencies necessary for post-pandemic success in higher education need to be founded upon adaptability, coping, and Self- Regulated Learning (SRL). It is worth investigating how stakeholders perceived their adaptability and coping with the accelerated change accompanying Coronavirus Disease of 2019 (COVID-19). Accordingly, the purpose of this study was to assess the self-reported adaptability of postgraduate dental learners and their instructors in the context of abrupt transition to distance learning induced by the pandemic. This study utilized a convergent mixed methods study design. The quantitative and qualitative data were concurrently collected from instructors and learners, using a tailor-made survey of items measured with a Likert-type scale, complemented with open-ended questions. The collected datasets were independently analyzed. Descriptive and inferential analysis were conducted using the quantitative data. Qualitatively, the researchers underwent a multi-staged thematic analysis. The generated information was then integrated using a joint model analysis. The percentage of the total average of self-reported adaptability for both groups of stakeholders was 81.15%. The instructors, with a mean of satisfaction of 17.94 (±1.76), rated their adaptability significantly higher than the learners, with a mean of satisfaction of 15.66 (±2.77) (p = 0.002). The thematic analysis resulted in two interrelated themes: Self and Environment. Within the Self theme, three subthemes surfaced: Cognitions, Emotions, and Behaviors. As for the Environment theme, it encapsulated two subthemes: Enablers and Impediments. The stakeholders perceived themselves to have adapted well to the transition, and SRL appeared as a cornerstone in the adaptation to the accelerated change accompanying COVID-19. There appeared to be an interplay between the cognitions, emotions, and behaviors on the level of the self as part of the adaptation process. Also, building upon existent models of SRL, this study uncovered that the stakeholders considered the environment to play a crucial role in their adaptation process. This highlights the importance of developing a climate that remains, despite external pressures, conducive to attaining learning and teaching goals. It is also crucial for university-level mental health promotion activities to proactively foster, among learners and instructors, adaptability, building ‘academic resilience’.

Significant concern has been raised regarding the effect of COVID-19 on medical education. This study aimed to shed light on the distance learning experiences of medical students and their instructors at the Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU) in Dubai, United Arab Emirates. A convergent mixed methods approach was utilized. Qualitative and quantitative data was collected using a survey of closed-ended followed by open-ended questions. The percentage of the total average of satisfaction among stakeholders was 76.4%. The qualitative analysis led to developing the 4Ps Model of Transitioning to Distance Learning, which encapsulates four interrelated themes. It would be helpful to leverage the lessons learned to tailor blended medical programs with a reasonable mélange of experiences. The study also contributes to the mixed methods research by showcasing a means of adapting it to evaluate critical situations reliably and rapidly.

Background: Self-regulated learning (SRL) is gaining widespread recognition as a vital competency that is desirable to sustain lifelong learning, especially relevant to health professions education. Contemporary educational practices emphasize this aspect of undergraduate medical education through innovative designs of teaching and learning, such as the flipped classroom and team-based learning. Assessment practices are less commonly deployed to build capacity for SRL. Assessment as learning (AaL) can be a unique way of inculcating SRL by enabling active learning habits. It charges students to create formative assessments, reinforcing student-centered in-depth learning and critical thinking. Objective: This study aimed to explore, from the learners’ perspectives, the feasibility and perceived learning impact of student-generated formative assessments. Methods: This study relied on a convergent mixed methods approach. An educational intervention was deployed on a cohort of 54 students in the second year of a 6-year undergraduate medical program as part of a single-course curriculum. The AaL intervention engaged students in generating assessments using peer collaboration, tutor facilitation, and feedback. The outcomes of the intervention were measured through quantitative and qualitative data on student perceptions, which were collected through an anonymized web-based survey and in-person focus groups, respectively. Quantitative survey data were analyzed using SPSS (IBM), and qualitative inputs underwent thematic analysis. Results: The students’ overall score of agreement with the AaL educational intervention was 84%, which was strongly correlated with scores for ease and impact on a 5-point Likert-type scale. The themes that emerged from the qualitative analysis included prominent characteristics, immediate gains, and expected long-term benefits of engagement. The prominent characteristics included individuals’ engagement, effective interdependencies, novelty, and time requirements. The identified immediate gains highlighted increased motivation and acquisition of knowledge and skills. The expected long-term benefits included critical thinking, problem solving, and clinical reasoning. Conclusions: As a form of AaL, student-generated assessments were perceived as viable, constructive, and stimulating educational exercises by the student authors. In the short term, the activity provided students with a fun and challenging opportunity to dive deeply into the content, be creative in designing questions, and improve exam-taking skills. In the long term, students expected an enhancement of critical thinking and the inculcation of student-centered attributes of self-regulated lifelong learning and peer collaboration, which are vital to the practice of medicine.