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The Transformative Impact of Stealth Assessment on Medical Education.
J Adv Med Educ Prof
July 2024
Department of Medical Education, School of Medical Education and Learning Technologies, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
This Letter explores the transformative impact of stealth assessment on medical education and its potential to enhance learning outcomes. Stealth assessment, an innovative approach, subtly measures students' learning progress while the students interact with rich and engaging environments, seamlessly integrating assessment within authentic learning activities. By mirroring the testing scenario with the learning format, stealth assessment mitigates test-related anxiety and promotes continuous engagement in training.
View Article and Find Full Text PDFIn spite of patriarchy: Pathways from school to wage work and careers among adolescent girls in Bihar.
J Adolesc
October 2024
Population Council Consulting Pvt. Ltd, New Delhi, India.
Background: In the context of rural Bihar where few women work outside the home, what scope do adolescent girls and young women have to transition into wage work and careers? While the mobility of girls is still widely restricted to secure their marriageability, the spread of higher schooling and the internet has inflated aspirations and levelled them out across boys, girls and social classes.
Methods: The present study drew on 45 focus group discussions and 73 in-depth interviews among adolescent girls and young women and related stakeholders to develop 32 cases of transitioning girls across four districts of rural Bihar in India. The qualitative data were collected in 2022 and analysed using a combination of thematic and comparative narrative analyses.
Artificial Intelligence in Cataract Surgery: A Systematic Review.
Transl Vis Sci Technol
April 2024
B-IT and Department of Computer Science, University of Bonn, Bonn, Germany.
Purpose: The purpose of this study was to assess the current use and reliability of artificial intelligence (AI)-based algorithms for analyzing cataract surgery videos.
Methods: A systematic review of the literature about intra-operative analysis of cataract surgery videos with machine learning techniques was performed. Cataract diagnosis and detection algorithms were excluded.
Learning Curve in Robotic Stereoelectroencephalography: Single Platform Experience.
World Neurosurg
February 2024
Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA; Department of Neurosurgery, Section of Pediatric Neurosurgery, Oklahoma Children's Hospital, University of Oklahoma School of Medicine, Oklahoma City, Oklahoma, USA. Electronic address:
Background: Learning curve, training, and cost impede widespread implementation of new technology. Neurosurgical robotic technology introduces challenges to visuospatial reasoning and requires the acquisition of new fine motor skills. Studies detailing operative workflow, learning curve, and patient outcomes are needed to describe the utility and cost-effectiveness of new robotic technology.
View Article and Find Full Text PDFPerceptions of Competition-Based Learning After a Brief Experience at a National Surgical Meeting.
Surg Innov
December 2023
Department of Surgery, University at Buffalo, Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Background: Competition-based learning (CBL) facilitates learning through competitions. At the 2022 & 2023 Annual SAGES meetings, we evaluated a CBL experience (TOP GUN Shootout) developed from a modified version of the previously validated TOP GUN Laparoscopic Skills and Suturing Program. The project sought to evaluate the TOP GUN Shootout's (TGS) ability to enhance participant engagement in pursuit of laparoscopic surgical skills.
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