Çağıltay, Nergiz

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https://hdl.handle.net/20.500.14411/8243
Name Variants
Çağıltay, Nergis E.
Nergiz, Çağıltay
Çağıltay, Nergiz
Nergiz, Cagiltay
Ç.,Nergiz
C.,Nergiz
N., Cagiltay
N.,Çağıltay
Cagiltay, Nergiz
Cagiltay,N.
Çağıltay,N.
N.,Cagiltay
C., Nergiz
Çağıltay, Nergiz Ercil
Cagiltay, Nergiz Ercil
Çağıltay, Nergiz E.
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Profesör Doktor
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nergiz.cagiltay@atilim.edu.tr
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Software Engineering
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Former Staff
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7

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137

Articles

79

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544/3630

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26

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3

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1157

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1469

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17

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JournalCount
18th IEEE International Symposium on Personal, Indoor and Mobile Radio Communication -- SEP 03-07, 2007 -- Athens, GREECE7
IEEE Access5
Computers & Education3
International Journal of Human–Computer Interaction3
Surgical Innovation3
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Author: Topalli, DamlaSubject: classification

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    Article
    Citation - WoS: 7
    Citation - Scopus: 7
    Classification of Intermediate and Novice Surgeons' Skill Assessment Through Performance Metrics
    (Sage Publications inc, 2019) Topalli, Damla; Cagiltay, Nergiz Ercil
    Background. Endoscopic surgeries have become an alternative for open procedures whenever possible. For such types of operations, surgeons are required to gain several skills, whose development needs hands-on practice. Accordingly, gaining these skills today is a challenge for surgical education programs. Despite the development of several technology-enhanced training environments, there are still problems to better integrate these technologies into educational programs. For an appropriate integration, it is critical to assess the skill levels and adapt the training content according to the trainees' requirements. In the literature, there exist several methods for assessing these skill levels. However, there are still problems in practice for objective and repetitive assessment. Methods. The present study aims to estimate the skill levels of participants in surgical training programs in an objective manner by collecting experimental data from residents in an endoscopic surgical simulation environment and gathering performance metrics. Results. It is shown that, by comparing the results of a number of classification algorithms for the best accuracy estimation and feature set, the "novice" and "intermediate" skill levels can be estimated with an accuracy of 86%. Conclusions. The outcomes help surgical educators and instructional system designers to better assess the skill levels of the trainees and guide them accordingly. In addition, objective assessments as highlighted in this study can be beneficial when designing technology-enhanced adaptive learning environments.