Constructing, improving, and shortening tests for skill assessment

2022 ◽  
Vol 106 ◽  
pp. 102621
Author(s):  
Pasquale Anselmi ◽  
Jürgen Heller ◽  
Luca Stefanutti ◽  
Egidio Robusto
Keyword(s):  
Skill Assessment

Measuring Interpersonal Communication Skills: Development of the STEM-Communication Skill Assessment

2013 ◽  
Author(s):  
Kerrie G. Wilkins ◽  
Bianca L. Bernstein ◽  
Jennifer M. Bekki ◽  
Dominic R. Prime
Keyword(s):  
Interpersonal Communication ◽  
Communication Skills ◽  
Communication Skill ◽  
Skill Assessment ◽  
Skills Development

MENINGKATKAN KEMAMPUAN KOMUNIKASI MELALUI PEMBELAJARAN KOOPERATIF TIPE TARI BAMBU

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Idham Kholid ◽  
Dede Rohaniawati
Keyword(s):  
Cooperative Learning ◽  
Primary School ◽  
Communication Skill ◽  
Learning Model ◽  
Skill Assessment ◽  
Fifth Grade Students ◽  
Grade 5 ◽  
Teachers And Students ◽  
And Performance ◽  
Research Students

This research was conducted with the aim to know the application of cooperative learning model of bamboo dance type in learning social studies in every cycle and to know the improvement of student communication skill in every cycle. The method used in this research is classroom action research. Students who made the object of this study is the fifth-grade students of Islamic primary school AlMuawwanah in Subang District West Java Indonesia, which amounted to 30 consisted of 21 men and 9 women. The data collection techniques using teacher and student observation sheets and performance assessment sheets. The results of this study showed that the application of cooperative learning model of bamboo dance type can improve students' communication skills. The result of precycle student communication skill assessment is 42,83%. In the first cycle increased by 56.83% and more increased in cycle II reached 66.67%. The highest achievement occurred in the third cycle of 86.17%. This study shows that communication skill of grade 5 students of Islamic primary school in Al-Muawwanah has increased during the implementation of cooperative learning model of bamboo dance type in each cycle. The activities of teachers and students in the learning process also increased in every cyle.

Attending Surgeons Demonstrate Greater Correlations of Skill Assessment and Anticipation of Adverse Events Than Residents During Laparoscopic Cholecystectomy

2021 ◽  
Vol 262 ◽  
pp. 140-148
Author(s):  
Nathan Lau ◽  
Jacob Hartman-Kenzler ◽  
Eric Fichtel ◽  
Juyeon Park ◽  
Siddarth Ponnala ◽  
...  
Keyword(s):  
Laparoscopic Cholecystectomy ◽  
Adverse Events ◽  
Skill Assessment

Skill Assessment of Copernicus Climate Change Service Seasonal Ensemble Precipitation Forecasts over Iran

2021 ◽  
Vol 38 (3) ◽  
pp. 504-521
Author(s):  
Masoud Nobakht ◽  
Bahram Saghafian ◽  
Saleh Aminyavari
Keyword(s):  
Climate Change ◽  
Skill Assessment

scholarly journals Automation of surgical skill assessment using a three-stage machine learning algorithm

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Joël L. Lavanchy ◽  
Joel Zindel ◽  
Kadir Kirtac ◽  
Isabell Twick ◽  
Enes Hosgor ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Surgical Skills ◽  
Adverse Outcomes ◽  
Machine Learning Algorithms ◽  
Surgical Instruments ◽  
Skill Assessment ◽  
Surgical Skill ◽  
Surgical Skill Assessment ◽  
Motion Features

AbstractSurgical skills are associated with clinical outcomes. To improve surgical skills and thereby reduce adverse outcomes, continuous surgical training and feedback is required. Currently, assessment of surgical skills is a manual and time-consuming process which is prone to subjective interpretation. This study aims to automate surgical skill assessment in laparoscopic cholecystectomy videos using machine learning algorithms. To address this, a three-stage machine learning method is proposed: first, a Convolutional Neural Network was trained to identify and localize surgical instruments. Second, motion features were extracted from the detected instrument localizations throughout time. Third, a linear regression model was trained based on the extracted motion features to predict surgical skills. This three-stage modeling approach achieved an accuracy of 87 ± 0.2% in distinguishing good versus poor surgical skill. While the technique cannot reliably quantify the degree of surgical skill yet it represents an important advance towards automation of surgical skill assessment.

scholarly journals A data-driven performance dashboard for surgical dissection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Amir Baghdadi ◽  
Sanju Lama ◽  
Rahul Singh ◽  
Hamidreza Hoshyarmanesh ◽  
Mohammadsaleh Razmi ◽  
...  
Keyword(s):  
Performance Monitoring ◽  
Economic Consequences ◽  
Skill Assessment ◽  
Geospatial Information ◽  
Surgical Performance ◽  
Intelligence Models ◽  
Artificial Intelligence Models ◽  
Surgical Data ◽  
Expert Surgeon ◽  
The Rich

AbstractSurgical error and resulting complication have significant patient and economic consequences. Inappropriate exertion of tool-tissue force is a common variable for such error, that can be objectively monitored by sensorized tools. The rich digital output establishes a powerful skill assessment and sharing platform for surgical performance and training. Here we present SmartForceps data app incorporating an Expert Room environment for tracking and analysing the objective performance and surgical finesse through multiple interfaces specific for surgeons and data scientists. The app is enriched by incoming geospatial information, data distribution for engineered features, performance dashboard compared to expert surgeon, and interactive skill prediction and task recognition tools to develop artificial intelligence models. The study launches the concept of democratizing surgical data through a connectivity interface between surgeons with a broad and deep capability of geographic reach through mobile devices with highly interactive infographics and tools for performance monitoring, comparison, and improvement.

A Quasi-Experimental Analysis of the Adult Learning Effect on Problem-Solving Skills

2019 ◽  
Vol 70 (1) ◽  
pp. 6-25
Author(s):  
Suehye Kim
Keyword(s):  
Problem Solving ◽  
Adult Learning ◽  
Learning Effect ◽  
Skill Assessment ◽  
Problem Solving Skills ◽  
Policy Interventions ◽  
Skill Gaps ◽  
National Differences ◽  
Quasi Experimental ◽  
International Assessment

This study builds an empirical research model that explores societal and individual antecedents of adult learning and examines the adult learning effect on problem-solving skills in the Organization for Economic Cooperation and Development (OECD) countries. Considering national differences, it uses multilevel data sources available from the Programme for the International Assessment of Adult Competencies (PIAAC) 2008-2013 and the OECD data lab. The results from this study suggest that young adults (25- to 34-year-olds) with more favorable backgrounds benefit from their social origin and occupational environment in terms of nonformal learning participation. It was also found that the participants outperform nonparticipants in the PIAAC problem-solving skill assessment. The key findings of this study advocate for the importance of policy interventions to combat the cumulative effects of multiple disadvantages in the educational trajectory from initial education to adult learning as well as to reduce the problem-solving skill gaps of young disadvantaged adults.

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