Ekin, Cansu Çiğdem

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Profile URL
https://hdl.handle.net/20.500.14411/6950
Name Variants
Aydin, Cansu Cigdem
Cansu Cigdem, Ekin
E.,Cansu Çiğdem
Aydin C.
Ekin, Cansu Cigdem
Ekin, Cansu
Aydin, C. C.
E., Cansu Çiğdem
C. C. Ekin
E., Cansu Cigdem
C.C.Ekin
C.Ç.Ekin
C., Ekin
Ekin, Cansu Çiğdem
C. Ç. Ekin
E.,Cansu Cigdem
Ekin, Cansu C.
Ekin,C.C.
Cansu Çiğdem, Ekin
C.,Ekin
Ekin,C.Ç.
Ekin C.
Aydın, Cansu Ciğdem
Rouyendegh, Babak Daneshvar
Rouyendegh (B Erdebilli), Babak Daneshvar
Job Title
Doçent Doktor
Email Address
cansu.aydin@atilim.edu.tr
Main Affiliation
Computer Engineering
Status
Website
ORCID ID
0000-0003-4838-9708
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
AFE-7836-2022

Sustainable Development Goals

5

GENDER EQUALITY
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0

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14

LIFE BELOW WATER
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1

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10

REDUCED INEQUALITIES
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3

GOOD HEALTH AND WELL-BEING
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2

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2

ZERO HUNGER
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2

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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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1

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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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11

SUSTAINABLE CITIES AND COMMUNITIES
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8

DECENT WORK AND ECONOMIC GROWTH
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13

CLIMATE ACTION
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1

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4

QUALITY EDUCATION
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8

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6

CLEAN WATER AND SANITATION
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0

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1

NO POVERTY
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1

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15

LIFE ON LAND
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17

PARTNERSHIPS FOR THE GOALS
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7

AFFORDABLE AND CLEAN ENERGY
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RESPONSIBLE CONSUMPTION AND PRODUCTION
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This researcher does not have a Scopus ID.
Documents

14

Citations

165

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Scholarly Output

42

Articles

23

Views / Downloads

4/0

Supervised MSc Theses

4

Supervised PhD Theses

0

WoS Citation Count

563

Scopus Citation Count

646

WoS h-index

15

Scopus h-index

15

Patents

0

Projects

0

WoS Citations per Publication

13.40

Scopus Citations per Publication

15.38

Open Access Source

8

Supervised Theses

4

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JournalCount
Tehnicki Vjesnik4
3rd International Conference on Information Management and Evaluation (ICIME) -- APR 16-17, 2012 -- Atilim Univ, Performance Management & Applicat Res Ctr, Ankara, TURKEY3
Journal of Applied Mathematics2
Journal of Systems Architecture2
UBMK 2018 - 3rd International Conference on Computer Science and Engineering -- 3rd International Conference on Computer Science and Engineering, UBMK 2018 -- 20 September 2018 through 23 September 2018 -- Sarajevo -- 1435602
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Has files: trueSubject: Topic Modeling

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Review
    Citation - WoS: 42
    Citation - Scopus: 57
    Drawing the Big Picture of Games in Education: a Topic Modeling-Based Review of Past 55 Years
    (Pergamon-elsevier Science Ltd, 2023) Ekin, Cansu C.; Polat, Elif; Hopcan, Sinan
    The literature of games in education has a rich and multidisciplinary content. Due to the large number of studies in the field, it is not easy to analyze all relevant studies. There are few studies exploring the big picture of research trends in the field. For this reason, the purpose of this study is to examine longitudinal trends of game-based research in education using text mining tech-niques. 4980 publications were retrieved as an experimental dataset indexed by the SCOPUS database in the period 1968 to mid-2021. The results include descriptive statistics of game-based research, trends of the research topics, and trends in the frequency of each topic over time. They show that the number of studies focusing on the use of games in education has increased, particularly since the 2000s when Internet use accelerated and became widespread. Approxi-mately 70% of all the studies were conducted in the last 10 years. One third of the studies is related to the main topic of game-based learning. It is significant that in the last three decades the topic of serious games has been among the top three trends. Considering usage acceleration of the topics, the highest values belong to game-based learning, serious games and student science games, in that order. The findings of this study are expected to guide the field by providing a better understanding of the trends of games in education and offer a direction for future research.
  • Thumbnail Image
    Article
    Citation - WoS: 3
    Citation - Scopus: 8
    Artificial Intelligence in Education: a Text Mining-Based Review of the Past 56 Years
    (Springer, 2025) Ekin, C.C.; Cantekin, Ö.F.; Polat, E.; Hopcan, S.
    Artificial Intelligence in Education (AIED) is a broad and multifarious area of study that spans across various academic fields. Due to the high numbers of studies in this field, it seems too challenging to analyze all of them in depth in a single study. Additionally, there is a lack of research that provides a comprehensive overview of the main trends and topics in AIED. This study, hence, aims to fill this gap by using text mining techniques to examine how artificial intelligence (AI)-related research in education has evolved over time. To this end, a total of 11,027 articles indexed by the Scopus database in the field of education between 1967 and 2023 were examined. Based on the findings, there has been a significant increase in AIED since 2014, covering 73% of the publications. Over the past three decades, AIED research has increasingly concentrated on engineering student populations and conference proceedings. Notably, AI solutions are extensively employed in education, with a strong focus on personalization, assessment, and evaluation. They also play a prominent role in research review processes, such as text mining and topic modeling for summarizing research findings. The findings contribute to the field, enhancing our understanding of the patterns of AI’s integration into education and offering guidance for prospective research endeavors. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.