AI Article Synopsis
- Feedback is crucial for learning, but its effectiveness can be hindered by unstructured delivery and varying student preferences.
- A study involving medical students assessed their opinions on three feedback methods: standard lecture feedback (SLF), individualized video feedback (IVF), and enhanced unsupervised video feedback (UVF).
- Students preferred IVF for its perceived effectiveness in improving skills, showing no significant difference in actual skill improvement when comparing IVF and UVF, suggesting UVF could be a more resource-efficient option.
Article Abstract
Background: Feedback plays an important role in the learning process. However, often this may be delivered in an unstructured fashion that can detract from its potential benefit. Further, students may have different preferences in how feedback should be delivered, which may be influenced by which method they feel will lead to the most effective learning. The aim of this study was to evaluate student views on 3 different modes of feedback particularly in relation to the benefit each conferred.
Methods: Undergraduate medical students participating in a surgical suturing study were asked to give feedback using a semi-structured questionnaire. Discrete questions using a Likert scale and open responses were solicited. Students received either standard lecture feedback (SLF), individualized video feedback (IVF), or enhanced unsupervised video feedback (UVF).
Results: Students had a strong preference for IVF over UVF or SLF. These responses correlated with their perception of how much each type of feedback improved their performance. However, there was no statistical difference in suturing skill improvement between IVF and UVF, which were both significantly better than SLF.
Conclusion: Students have a strong preference for IVF. This relates to a perception that this will lead to the greatest level of skill improvement. However, an equal effect in improvement can be achieved by using less resource-demanding UVF.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jsurg.2015.04.017 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Initial experience of a novel surgical assist robot "Saroa" featuring tactile feedback and a roll-clutch system in radical prostatectomy.
Sci Rep
December 2024
Department of Urology, The Jikei University School of Medicine, Kashiwa Hospital, Kashiwashita 163-1, Kashiwa, Chiba, 277-8567, Japan.
To evaluate the safety and efficacy of the Saroa Surgical Robot System in robot-assisted laparoscopic radical prostatectomy (RARP). We enrolled 60 patients who underwent RARP using either the Saroa (n = 9) or da Vinci Xi (n = 51) systems at Jikei University Kashiwa Hospital from January 2022 to March 2024. We compared preoperative characteristics, perioperative outcomes, complications, and postoperative urinary continence at three months between the two groups.
View Article and Find Full Text PDFApplication of EMG feedback for hand prosthesis control in high-level amputation: a case study.
Sci Rep
December 2024
Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
EMG feedback improves force control of a myoelectric hand prosthesis by conveying the magnitude of the myoelectric signal back to the users via tactile stimulation. The present study aimed to test if this method can be used by a participant with a high-level amputation, and whose muscle used for prosthesis control (pectoralis major) was not intuitively related to hand function. Vibrotactile feedback was delivered to the participant's torso, while the control was tested using EMG from three different muscles.
View Article and Find Full Text PDFEvaluating large language models for criterion-based grading from agreement to consistency.
NPJ Sci Learn
December 2024
Department of Psychology, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, 475000, Malaysia.
This study evaluates the ability of large language models (LLMs) to deliver criterion-based grading and examines the impact of prompt engineering with detailed criteria on grading. Using well-established human benchmarks and quantitative analyses, we found that even free LLMs achieve criterion-based grading with a detailed understanding of the criteria, underscoring the importance of domain-specific understanding over model complexity. These findings highlight the potential of LLMs to deliver scalable educational feedback.
View Article and Find Full Text PDFCerebellar-driven cortical dynamics can enable task acquisition, switching and consolidation.
Nat Commun
December 2024
Computational Neuroscience Unit, Intelligent Systems Labs, Faculty of Engineering, University of Bristol, Bristol, UK.
The brain must maintain a stable world model while rapidly adapting to the environment, but the underlying mechanisms are not known. Here, we posit that cortico-cerebellar loops play a key role in this process. We introduce a computational model of cerebellar networks that learn to drive cortical networks with task-outcome predictions.
View Article and Find Full Text PDFPlastid-localized ZmENR1/ZmHAD1 complex ensures maize pollen and anther development through regulating lipid and ROS metabolism.
Nat Commun
December 2024
Research Institute of Biology and Agriculture, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Lipid metabolism is critical for male reproduction in plants. Many lipid-metabolic genic male-sterility (GMS) genes function in the anther tapetal endoplasmic reticulum, while little is known about GMS genes involved in de novo fatty acid biosynthesis in the anther tapetal plastid. In this study, we identify a maize male-sterile mutant, enr1, with early tapetal degradation, defective anther cuticle, and pollen exine.
View Article and Find Full Text PDFWant 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!