Şahin, Alper

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Profile URL
https://hdl.handle.net/20.500.14411/6688
Name Variants
Şahin, Alper
S., Alper
Şahin A.
Sahin,Alper
Ş., Alper
Alper, Sahin
A., Sahin
Ş.,Alper
Şahin,A.
A.,Sahin
S.,Alper
Sahin, Alper
Sahin,A.
Alper Şahin
Alper, Şahin
A., Şahin
A.,Şahin
Sahın, Alper
Job Title
Yardımcı Doçent
Email Address
alper.sahin@atilim.edu.tr
Main Affiliation
Department of Basic English (Prep School)
Status
Website
http://www.alpersahin.com/
ORCID ID
0000-0001-7750-4408
Scopus Author ID
57040560400
Turkish CoHE Profile ID
48771
Google Scholar ID
uT4y_-UAAAAJ
WoS Researcher ID
T-2425-2019

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Documents

7

Citations

128

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5

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Documents

6

Citations

114

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Scholarly Output

4

Articles

3

Views / Downloads

14/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

1

Scopus Citation Count

7

WoS h-index

1

Scopus h-index

1

Patents

0

Projects

0

WoS Citations per Publication

0.25

Scopus Citations per Publication

1.75

Open Access Source

3

Supervised Theses

0

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JournalCount
Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi1
International Journal of Assessment Tools in Education1
Journal of Pedagogical Research1
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Author: Sahın, AlperStart date: 2021

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Citation - Scopus: 1
    Opportunities and Challenges of AI in Educational Assessment
    (Assoc Measurement & Evaluation Education & Psychology, 2024) Sahın, Alper; Thompson, Nathan; Ercikan, Kadriye
    In the past few years, as artificial intelligence (AI) and large language models (LLM) have rapidly entered our lives, we have witnessed groundbreaking innovations across numerous fields. The rapid pace of these changes has been met with excitement by some and apprehension by others. However, we all agree that they have made tremendous contributions so far and their contributions in the future will reshape our existence. The field of educational assessment is no exception. With this in mind, we issued a call for a special issue themed “Opportunities and Challenges of AI in Educational Assessment.” which finally included seven distinguished articles on subthemes of fair and responsible use of AI in educational assessment, learning analytics, automated scoring, and real-life examples of AI and LLM.
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Validation of a New State Test Anxiety Scale (stas)
    (Izzet Kara, 2021) Sahın, Alper
    This study aimed to validate the English version of Sahin’s (2019) State Test Anxiety Scale (STAS) which was originally developed in Turkish based on the latest bio-psychosocial model of test anxiety. For this purpose, the Turkish version of STAS was translated into English and administered to 360 (123 females, 237 males) students from 22 countries. The data were subjected to the confirmatory factor analysis to confirm the three-factor structure as in the Turkish version. Most of the fit indices examined (χ2/df=1.94, CFI=.98, NFI=.96, NNFI=.98, IFI=.98, RMSEA=.05, SRMR=.05) indicated that the data of the STAS had a good fit to the three-factor structure as its Turkish version. The Alpha internal consistency coefficients were found to be .81, .77, .91, and .92, for Physiological effects, Psychosocial effects, Cognitive effects subscales, and the total scale respectively. Stratified Alpha was also calculated and was found to be .93. All in all, evidence collected in this study indicated that the English version of STAS was a valid and reliable scale as its Turkish version.