Is Case Sequence Analysis an Objective Assessment of Learning Curve?

2020 ◽  
Vol 63 (3) ◽  
pp. e23 ◽  
Author(s):  
Mahir Gachabayov ◽  
Aram Rojas ◽  
Roberto Bergamaschi
Keyword(s):  
Sequence Analysis ◽  
Learning Curve ◽  
Objective Assessment ◽  
Assessment Of Learning ◽  
Case Sequence

Case Sequence Analysis of the Robotic Colorectal Resection Learning Curve

2019 ◽  
Vol 62 (9) ◽  
pp. 1071-1078 ◽  
Author(s):  
Matthew M. Symer ◽  
Art Sedrakyan ◽  
Heather L. Yeo
Keyword(s):  
Sequence Analysis ◽  
Learning Curve ◽  
Colorectal Resection ◽  
Case Sequence

Objective assessment of learning curves for the Voxel-Man TempoSurg temporal bone surgery computer simulator

2012 ◽  
Vol 126 (7) ◽  
pp. 663-669 ◽  
Author(s):  
R Nash ◽  
R Sykes ◽  
A Majithia ◽  
A Arora ◽  
A Singh ◽  
...  
Keyword(s):  
Learning Curve ◽  
Temporal Bone ◽  
Structural Damage ◽  
Objective Assessment ◽  
Learning Curves ◽  
Sigmoid Sinus ◽  
Bone Surgery ◽  
Assessment Of Learning ◽  
Temporal Bone Surgery ◽  
Cortical Mastoidectomy

AbstractIntroduction:Simulators are becoming an increasingly important part of surgical training. Temporal bone surgery is one area in which simulators, such as the Voxel-Man TempoSurg simulator, are likely to play a significant role in training. We present learning curve data from novice trainees using this simulator to learn cortical mastoidectomy, exposure of the sigmoid sinus, and exposure of the short process of the incus.Methods:We measured the time taken to perform the procedures, the volume of reference bone removed, and the structures damaged during dissection.Results:We found improvement in a number of parameters over the course of the study. The overall scores, structural damage scores and time taken improved, to differing degrees, for each task. The volume of reference bone removed remained constant.Conclusion:These results indicate that the trainees' efficiency improved as they became more proficient at removing a given volume of reference bone.

Post fellowship training in “new-to-them” surgical techniques: Assessment of learning curve characteristics

2011 ◽  
Vol 121 (3) ◽  
pp. 620-624 ◽  
Author(s):  
Jinwei Miao ◽  
Aimee C. Fleury ◽  
Christina L. Kushnir ◽  
David F. Silver ◽  
Raj Naik ◽  
...  
Keyword(s):  
Learning Curve ◽  
Surgical Techniques ◽  
Fellowship Training ◽  
Assessment Of Learning

scholarly journals Exploring the alternative assessment on Mathematical instruction in an era of uncertainty

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Muhammad Naim Mahmud ◽  
Heri Retnawati ◽  
Eri Yusron ◽  
Elita Rachmayanti
Keyword(s):  
Online Learning ◽  
Alternative Assessment ◽  
Objective Assessment ◽  
Mathematics Learning ◽  
Assessment Process ◽  
Learning Assessment ◽  
Learning Material ◽  
Process Data ◽  
Assessment Of Learning ◽  
The Impact

The impact of the Covid-19 pandemic in education has caused the learning curriculum to experience replication. Not only in delivering learning material, but replication also occurs in the learning assessment process. Teachers are required to be able to carry out an objective assessment of learning in all subjects. This study aims to determine teacher difficulties and explore alternative assessments used by teachers in mathematics learning in the pandemic era. This research is a qualitative study using an exploratory study approach that aims to deepen the study of research objectives that focus on constraint and alternative phenomena in assessing mathematics learning in elementary schools. The instrument used has been validated by experts and got the value of the coefficient Aiken = 0,742 this shows that the instrument used is valid and in the good category. Data collection was carried out through questionnaires for teachers and field observations in the online learning process. Data analysis was carried out by using descriptive techniques from the findings of the questionnaire and observation instruments. This study's results reveal that the teacher finds it difficult to provide an objective assessment of learning, and the alternative assessment of mathematics learning used is digital learning assessment and structured assignments to parent representatives in each zoning. Future research is expected to develop assessment instruments that can facilitate online learning assessments in the pandemic era.

scholarly journals Sa1301 PERORAL ENDOSCOPIC MYOTOMY: A CONSECUTIVE CASE VIDEO BASED ASSESSMENT OF LEARNING CURVE AND OUTCOMES

2020 ◽  
Vol 91 (6) ◽  
pp. AB156
Author(s):  
Ashwinee S. Condon ◽  
V. Raman Muthusamy ◽  
Stephen Kim ◽  
Adarsh M. Thaker ◽  
Liu Yang ◽  
...  
Keyword(s):  
Learning Curve ◽  
Peroral Endoscopic Myotomy ◽  
Consecutive Case ◽  
Assessment Of Learning ◽  
Endoscopic Myotomy

Hysteroscopic Sterilization Using a Virtual Reality Simulator: Assessment of Learning Curve

2013 ◽  
Vol 20 (6) ◽  
pp. 775-782 ◽  
Author(s):  
Juliënne A. Janse ◽  
Ruben S.A. Goedegebuure ◽  
Sebastiaan Veersema ◽  
Frank J.M. Broekmans ◽  
Henk W.R. Schreuder
Keyword(s):  
Virtual Reality ◽  
Learning Curve ◽  
Virtual Reality Simulator ◽  
Assessment Of Learning

scholarly journals Real-time assessment of learning curve for robot-assisted laparoscopic prostatectomy

2020 ◽  
Vol 102 (9) ◽  
pp. 717-725
Author(s):  
A Tamhankar ◽  
N Spencer ◽  
A Hampson ◽  
J Noel ◽  
O El-Taji ◽  
...  
Keyword(s):  
Learning Curve ◽  
Operative Time ◽  
Learning Curves ◽  
Perioperative Outcomes ◽  
Robot Assisted ◽  
Large Dataset ◽  
Laparoscopic Prostatectomy ◽  
Assessment Of Learning ◽  
Inflection Points ◽  
Estimated Blood Loss

Introduction The learning curves analysed to date for robot-assisted laparoscopic prostatectomy are based on arbitrary cut-offs of the total cases. Methods We analysed a large dataset of robot-assisted laparoscopic prostatectomies from a single centre between 2008 and 2019 for assessment of the learning curve for perioperative outcomes with respect to time and individual cases. Results A total of 1,406 patients were evaluated, with mean operative time 198.08 minutes and mean console time 161.05 minutes. A plot of operative time and console time showed an initial decline followed by a near-constant phase. The inflection points were detected at 1,398 days (308th case) for operative time and 1,470 days (324th case) for console time, with a declining trend of 8.83 minutes and 7.07 minutes, respectively, per quarter-year (p<0.001). Mean estimated blood loss showed a 70.04% reduction between the start (214.76ml) and end (64.35ml) (p<0.001). The complication rate did not vary with respect to time (p=0.188) or the number of procedures (p=0.354). There was insufficient evidence to claim that the number of operations (p=0.326), D’Amico classification (p=0.114 for intermediate versus low; p=0.158 for high versus low) or time (p=0.114) was associated with the odds of positive surgical margins. Conclusions It takes about 300 cases and nearly 4 years to standardise operative and console times, with a requirement of around 80 cases per annum for a single surgical team in the initial years to optimise the outcomes of robot-assisted laparoscopic prostatectomy.

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