Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Banaz, Emrullah(5)
- Demirel, Osman(3)
- Esmer, Yusuf(3)
- Pabuçcu, Hakan(2)
- Aksoy, Dilara Arzugül(1)
- Aktepe, Cemalettin(1)
- Akyel, Anıl Kadir(1)
- Akyol Özcan, Kübra(1)
- Ari, Sinan(1)
- Arici, Faruk(1)
- Ayberkin, Doruk(1)
- Battal, Fetullah(1)
- Cengiz, Ekrem(1)
- Dolgunsöz, Emrah(1)
- Durmuş, İbrahim(1)
- Engin, Mustafa Alptekin(1)
- Gümüş, Muradiye(1)
- Hasanov, Behram(1)
- Kaplan, Abdullah(1)
- Karabulut, Ahmet(1)
- Kurdal, Cem(1)
- Kökhan, Serhan(1)
- Maden, Sedat(1)
- Meral, Meryem(1)
- Nabiyev, Vasif(1)
- Ozden, Erdemalp(1)
- Saka Şimşek, Eda(1)
- Samur, Esila(1)
- Sarıgül, Abdulselami(1)
- Sebetci, Özel(1)
- Sercan, Yavuz Selim(1)
- Turhal, Ugur(1)
- Yalçın, Sema Altun(1)
- Yüksel, Muhammet(1)
- Yılmaz, Asuman Günay(1)
- Çakır, Zehra(1)
- Çelık, Embıya(1)
- Öz, Halil Hakdan(1)
- İzgi, Fatma(1)
Yayınlar
- MakaleAçık Erişim2026The Mediating Role of Artificial Intelligence Use in the Relationship Between Digital Literacy and Artificial Intelligence Learning Intentions in Mathematics Teachers
Kaplan, Abdullah; Kurdal, Cem
Purpose: The increasing integration of artificial intelligence (AI) technologies into educational environments has emphasized the need to evaluate teachers’ digital literacy and their intentions to engage with these tools. This study aims to explore the mediating role of mathematics teachers’ perceptions of AI usage in the relationship between their digital literacy and intentions to learn AI. Method: A correlational survey design was adopted with a sample of 476 mathematics teachers from various regions of Türkiye. Data were collected online using validated measurement tools for digital literacy, perceived AI use, and AI learning intention. Statistical analyses were performed using SPSS and Hayes' PROCESS macro, including descriptive statistics and correlation analysis. The default mediating effect model was tested using regression-based mediating effect analysis with bootstrap confidence intervals for indirect effects. Findings: The results indicated a significant and positive relationship between digital literacy and AI learning intentions. Furthermore, perceptions of AI use were found to partially mediate this relationship. These findings suggest that teachers with higher digital literacy are more likely to develop stronger intentions to learn AI, both directly and through enhanced perceptions of AI usage. Highlights: The study underscores the pivotal role of digital literacy in shaping mathematics teachers’ intentions to learn about AI. Findings reveal that teachers with higher digital competencies are more inclined to pursue AI learning opportunities, both directly and through their perceptions of AI usage. The partial mediating effect of AI usage perception highlights the importance of fostering not only technical skills but also positive attitudes toward AI integration. These results emphasize the need for professional development programs that simultaneously enhance digital competencies and equip teachers with the knowledge and confidence to integrate AI tools effectively. The outcomes provide valuable evidence to guide educational policymakers and practitioners in designing targeted training initiatives aimed at promoting AI readiness in teaching.
AtıfOpenAlex3
İncele - MakaleAçık Erişim2026Acceptance and Usage Patterns of Generative Artificial Intelligence Among Higher Education Students
Aksoy, Dilara Arzugül; Akyel, Anıl Kadir
The present study aims to investigate acceptance levels and usage patterns of generative artificial intelligence (GenAI) among higher education students. A survey was conducted among 318 students enrolled at a public university inTürkiye to collect data. The data were collected using the Generative Artificial Intelligence Acceptance Scale and a Personal Information Form, and analysed using descriptive statistics, independent samples t-tests, one-way ANOVA, and correlation analysis. The findings indicated that students in higher education generally exhibit high acceptance of GenAI technologies. Over half of the students reported using at least one GenAI tool, with ChatGPT being the most commonly used. The results further showed no significant differences in GenAI acceptance between male and female students, nor based on students’ grade point averages or academic year. However, a significant difference was observed between undergraduate and associate students in terms of social influence scores.The high GenAI acceptance levels among students highlight the necessity of establishing guidelines to ensure its ethical, effective, and responsible use. The findings provide valuable insights for educatorsand administrators offering guidance for the informed adoption and implementation of GenAI tools in educational settings.
- MakaleAçık Erişim2026Üretken Yapay Zekâ ile Yazmanın Dönüşümü: EFL Öğrencilerinin Yazma Sürecinde Otomatik Geri Bildirimin Etkisi
Çelık, Embıya; Dolgunsöz, Emrah; Saka Şimşek, Eda
Bu çalışma, üretken yapay zekâ (ÜYZ) destekli bir otomatik metin değerlendirme (OMD) sisteminin EFL öğrencilerinin yazma deneyimlerine etkisini incelemektedir. Moodle’a entegre edilen ChatGPT tabanlı sistem, öğrencilere yazma görevlerinde puanlama ve geri bildirim sağlamıştır. Nitel durum çalışması kapsamında öğrenciler ve bir yazma eğitmeniyle yarı yapılandırılmış görüşmeler yapılmış, veriler tematik analizle değerlendirilmiştir. Bulgular, sistemin öğrencilerin gramer, noktalama ve cümle yapısı gibi teknik yazma becerilerini kullanım düzeylerine bağlı olarak geliştirdiğini göstermiştir. Ancak geri bildirimlerin çoğu yüzeysel olup yeterli açıklama içermemiştir. Öğretmen geri bildirimlerinin daha ayrıntılı, bağlama uygun ve anlaşılır olduğu görülmüştür. Bazı bağlamsal ve pedagojik uyumsuzluklar sistemin EFL bağlamındaki etkililiğini sınırlamıştır. Buna rağmen sistem, taslak oluşturma, bireysel çalışma ve ders dışı öğrenme için tamamlayıcı bir araç olarak yararlı bulunmuştur. Sonuç olarak, ÜYZ tabanlı sistemlerin pedagojik uygunluğu artırmak için öğretmen katkısıyla tasarlanması önerilmektedir.
- MakaleAçık Erişim2026Role of artificial intelligence in the process of innovation management: dimensions, themes and examples
Esmer, Yusuf
This study aims to discuss the role of artificial intelligence (AI) in innovation management in a conceptual framework. In line with the purpose of the research, the conceptual analysis technique was used within the scope of qualitative research methods. In this context, the effects of AI on innovation management are explained based on relevant scientific research, reports and sectoral examples. How AI is integrated with innovation management processes, its application areas, and its potential future effects are examined. It has been concluded that AI affects important elements of organizations such as knowledge management, organizational flexibility, organizational innovation, decision-making, sustainable growth, organizational culture and strategic human resources management and that AI makes innovation management processes more efficient and effective with the opportunities it offers in areas such as big data analysis, machine learning and automation. The role of AI in innovation management stands out as an important element for modern organizations and reveals that research in this field should be examined in depth. This study examines the role of AI in innovation management processes within a conceptual framework and recommends that future studies conduct empirical research to expand on this topic. This study provides important in terms of revealing the role of AI in innovation management based on the relevant literature and with examples and will contribute to the literature.
- MakaleAçık Erişim2026Artificial intelligence applications in organizations from an employee perspective: a bibliometric analysis
Durmuş, İbrahim
In organizational settings, the effectiveness of artificial intelligence (AI) and AI-based applications in employees' activities continues to increase steadily over time. While this situation provides some conveniences to employees, it has also brought several concerns. Accordingly, a need has emerged to identify areas of collaboration and conflict between employees and AI. From this perspective, the present study aims to generate insights into employee–AI interactions at the organizational level. Literature on AI applications and their impact on employees is included. Bibliometric analysis was conducted using Web of Science (WoS) database. This research covers an application that includes a total of 497 studies published between 1996 and 2024. The keywords most emphasized by the authors in AI applications include artificial intelligence, machine learning, management, artificial, knowledge, learning, deep learning, intelligence, big data, data mining, employee, human resources, machine, technology, business, knowledge management, performance, and artificial neural networks. In the analysis, strong relationships between the concepts of artificial intelligence, machine learning, management, data mining, digital transformation, analysis, technology, employee, human resources, collaboration, productivity, human resource management, big data, performance, and digital technologies were revealed. Results have shown that the use of artificial intelligence in businesses is related to many concepts from the employees' perspective. The research offers important implications for strategic decision-making in areas such as human resources management, collaboration, performance, and digital transformation, based on the concepts that emerge in the interaction of artificial intelligence applications with employees.
AtıfOpenAlex1İncele - MakaleAçık Erişim2026Mapping the intersection of artificial intelligence and leadership research: a bibliometric analysis of wos publications (2016–2024)
Battal, Fetullah; Öz, Halil Hakdan
In the Industry 4.0 era, where Artificial Intelligence (AI) technologies are becoming increasingly widespread, studies in the field of leadership are trying to unite the issues of AI and leadership under a common roof by emphasising the main perspectives of leadership. In existing research, the interaction between AI and leadership is evaluated from three different perspectives. The first one is that AI will support leadership functions (development perspective). The second is that AI will replace leadership in the future (Replacement perspective). The third is that the influence of AI on leadership organisations is overestimated (sceptic perspective). In this study, systematic insights from multiple perspectives on the impact of AI technologies on leadership in today’s organisations has been attempted through bibliometric analysis. In this way, it is aimed to summarise the studies on AI and leadership, to identify the trends of research topics and to identify research gaps. Finally, the possible input of this study is to deliver a basis for future empirical and applied studies on related topics. The study was carried out based on the data of various types of researches in the Web of Science database and conducted between 2016 and 2024
- DerlemeAçık Erişim2026Beth Singler, Religion and Artificial Intelligence: An Introduction, Routledge, 2025, 218 s.
Hasanov, Behram
Beth Singler’s Religion and Artificial Intelligence: An Introduction (2025) is a pioneering study that explores the increasingly complex intersections between religion and artificial intelligence (AI) through the lenses of cultural and digital anthropology. Singler conceptualizes religion and AI as ‘two objects seemingly in motion’ and analyzes their intersections as forms of “entanglement,” challenging the assumption that religion belongs solely to the past while AI represents a purely secular future. Methodologically, the book adopts a bricolage approach rooted in religious studies, drawing on digital ethnography and grounded theory to allow theory to emerge from empirical data. Singler structures the relationship between religion and AI around three key categories: rejection, adoption, and adaptation. Rejection is illustrated through Christian and Muslim apocalyptic responses that frame AI as a threat to divine order. Adoption is examined through cases such as AI-generated sermons, personalized prayer apps, and ritual robots, which de- monstrate how religious traditions integrate AI technologies. Adaptation refers to more subtle transformations, including algorithmic authority, social media filter bubbles, and deepfake imagery, which reshape religious practice and truth claims. In later chapters, Singler analyzes transhumanism as an implicit religion, highli- ghting parallels between AI narratives such as Roko’s Basilisk and classical esc- hatological motifs. She also explores new religious movements that position AI as a spiritual being and discusses posthumanist challenges to human exceptionalism. Overall, the book presents AI as a cultural and religious phenomenon, offering a nuanced framework for understanding religion in the digital age.
- MakaleAçık Erişim2025Artificial Intelligence and the Metaverse in Sport: Emerging Trends and Future Directions from a Bibliometric Analysis
Esmer, Yusuf
In recent years, artificial intelligence (AI) and metaverse technologies have found applications in areas such as athlete performance analysis, fan engagement and virtual event management, leading to a growing volume of research in these areas. The aim of this study is to reveal the bibliometric profile of scientific research on AI and metaverse in sports and to increase the knowledge at the intersection of these disciplines by analyzing scientific production and trends in this field. For this purpose, 255 publications on AI and metaverse in sports between 1992-2025 in the Web of Science (WoS) core collection in the period of October 2024 were examined by bibliometric analysis technique. As a result of the analysis, it was concluded that scientific studies on AI and metaverse in sports have increased over the years and attracted more and more attention. Especially the high scientific production in 2022 and the high citation rate in 2013 revealed the potential and importance of these fields. It is possible to say that this study is important in terms of identifying new research/application areas, emphasizing international collaborations, providing important information/data for academia/the sports industry, encouraging interdisciplinary approaches, guiding future studies and contributing to the relevant literature. In future studies, it is considered necessary to conduct more research on AI and metaverse in sports and to develop practical projects. In this context, it is recommended to conduct research to explain the effects of AI and metaverse technologies on sports and how these technologies can be used in sports organizations.
AtıfOpenAlex2TR Dizin1İncele - MakaleAçık Erişim2025The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators
Sebetci, Özel; Ayberkin, Doruk
This study investigates the effectiveness of advanced machine learning models in predicting IQ levels using a diverse set of socioeconomic and health indicators from global databases such as WHO, the World Bank, and United Nations organizations. The research employs various algorithms, including Linear Regression, Random Forest, Gradient Boosting, Support Vector Machines, Ridge and Lasso Regressions, XGBoost, LightGBM, and a Stacking Regressor to capture both linear and non-linear relationships. Evaluation metrics such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and R-squared (R²) reveal that LightGBM and Stacking Regressor models excel in accuracy and generalization. The study highlights the trade-off between model interpretability and predictive power, emphasizing that simpler models offer greater transparency. In contrast, more complex models successfully capture intricate interactions among education, health, and economic factors. The findings provide valuable insights for policymakers and researchers, suggesting that machine learning approaches can significantly enhance understanding of the determinants of IQ and aid in developing targeted strategies in education and social policy.
- MakaleYalnız künye2025An analysis of the artificial intelligence concerns of those learning turkish as a foreign language from the perspective of various variables
Banaz, Emrullah; Demirel, Osman
This study aims to identify the levels of anxiety towards artificial intelligence (AI) among individuals learning Turkish as a foreign language and to examine whether this anxiety shows significant differences according to variables such as gender, level of education, course level, and the use of AI in language learning. Employing a quantitative research design, the study adopted a survey model; data were collected online from 170 international students learning Turkish at A2, B1, B2, and C1 levels at various language teaching centres in Türkiye. The Artificial Intelligence Anxiety Scale was administered to participants; independent samples t-test and one-way analysis of variance were used in the analyses as parametric tests. According to the research results, participants' overall anxiety levels regarding AI were found to be high (X=4.30). In particular, concerns that AI could be misused, create mental dependency in individuals, and lead to uncontrollable outcomes form the basis of these high anxiety levels. Although male participants reported higher mean levels of AI anxiety (X = 4.40) than female participants (X = 4.19), this difference was not statistically significant (p=.264). However, significant differences emerged with respect to proficiency level and AI-use status. A2-level learners exhibited higher levels of anxiety, while individuals actively using AI tools demonstrated lower levels of anxiety. According to the results, it can be argued that the anxiety of individuals learning Turkish as a foreign language towards AI has a complex and multidimensional structure. The findings reveal that this anxiety is shaped not only by demographic factors such as technological competence or academic background, but also by individuals' relationship with technology, their level of experience, and their perceptual evaluations.
AtıfTR Dizin1İncele - MakaleAçık Erişim2025Artificial Intelligence Applications in International Trade: A Bibliometric Analysis
Aktepe, Cemalettin; İzgi, Fatma
Artificial intelligence is having an increasingly significant impact on the functioning of international trade, productivity dynamics, and policy processes today. This study examined the role of artificial intelligence applications in international trade and identified research trends in the field using a bibliometric approach. The study analyzed 146 articles published between 1981 and 2025, using the keywords ‘international trade’ and ‘artificial intelligence applications’ in the Web of Science database on 4 September 2025. Subject areas and document types were considered during the search process; publication trends, collaborations between countries and institutions, the most-cited studies, and keyword networks were evaluated using VOSviewer. The findings show that academic output in the fields of artificial intelligence and international trade has increased rapidly, particularly since 2018, with 2024 exhibiting the highest publication volume. It was found that most studies were concentrated in the field of Business Economics. The analysis results clearly reveal that the United States, the United Kingdom, and China are leaders in both publication and citation counts. The original contribution of this study is that, unlike bibliometric studies commonly found in the literature that approach the relationship between ‘artificial intelligence and international trade’ from a general perspective, it addresses the subject from an international trade perspective, focusing on artificial intelligence applications. In this respect, the study provides a more targeted contribution to the field by revealing both the direction of development in the literature and the application areas in which artificial intelligence is concentrated in trade processes.
AtıfTR Dizin1İncele - MakaleAçık Erişim2025What Do Teachers Think About the Use of Artificial Intelligence in Educational Environments?
Cengiz, Ekrem; Gümüş, Muradiye
Artificial intelligence is employed regularly in many different fields. Artificial intelligence applications in educational settings have become commonplace, particularly in recent years. Thus, the purpose of this study was to investigate how educators felt about the use of AI in classrooms. The study was conducted with teachers working in different types of schools in a provincial center in Türkiye's Eastern Black Sea region. The qualitative research strategy used the case study method to perform the study. The study's subjects were chosen to maximize variety. Fifteen elementary and middle school instructors took part in the survey. Seven open-ended interview questions that the study's researchers created were used to gather data for the investigation. Using this data collection tool, researchers collected the study's data. Through content analysis, the study's data were examined comprehensively. According to this research, most teachers with different branches and experiences participating in the study stated that artificial intelligence would make the education process efficient and facilitate and accelerate the education process. In contrast, some of them stated that it would make students lazy. In addition, teachers stated that artificial intelligence will contribute to their professional development, but they need training to use it. Suggestions include conducting studies like this with teachers working at different school levels and other education stakeholders, as well as training teachers in this field.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Yapay Zekâ ve Transhumanist Göstergeler Üzerinden ‘’Chappie’’ Filminin Analizi
Karabulut, Ahmet; Sarıgül, Abdulselami; Sercan, Yavuz Selim
Yapay zekâya sahip robotlar insan yaşamının sıradan bir parçası haline gelmiş ve yaşamı birçok yönden değiştirip dönüştürmüştür. Yapay zekâ teknolojisinin amacı insanların yaşamlarını kolaylaştırmak ve işlerini hafifletmektir. Ancak birçok alanda olduğu gibi yapay zekâ alanında da hesaplanmış davranışların öngörülemeyen sonuçları oluşmuştur. Yapay zekânın yoğun bir şekilde gündelik yaşamda yer alması distopik senaryoları da beraberinde getirmiştir. Bu süratli ve radikal değişimin insanlığa yönelik yarattığı tehlikeli durumlar tartışılırken, bu endişelerin sinema alanında da kendini göstermesi kaçınılmaz hâle gelmiştir. Bu gelişmelerden dolayı farklı alanlarda filmler üzerine çeşitli çalışmalar yapılmıştır. Bu çalışmada, insan-makine-yapay zekâ arasındaki etkileşimin ortaya çıkaracağı sonuçları üreten ‘Chappie’ ‘filmi, transhumanizm bağlamında Barthes'in göstergebilimsel çözümleme yöntemleriyle analiz edilmiştir. Filmin içinde bulunan distopik bilgilerin anlatımında kullanılan imgelerin, yerlerin ve çağrışımların hem gösteren, gösterilen, gösterge hem de düz ve yan anlam analizleri yapılmıştır. Göstergeler kullanılarak elde edilen bulgularda ‘Chappie’ filminde yer alan robotların transhumanizm bağlamında insan- makine ve yapay zekâ ilişkisini ortaya çıkardığı söylenebilir. Sonuç olarak ortaya çıkan bu göstergelerin modern çağın vardığı en son noktada insan ve yapay zekâ arasındaki güç ve iktidar ilişkisini tanımladığı ifade edilebilir.
- MakaleYalnız künye2025Yabancı Dil Olarak Türkçe Öğretiminde Yapay Zekâ Destekli Şarkı Üretimi: Öğrenci Görüşleri
Banaz, Emrullah; Demirel, Osman
Yapay zekâ, modern eğitim sistemlerinde giderek daha önemli bir rol oynamaktadır. Öğrencilerin başarılarının tahmin edilmesi, kişiye özel ders içeriklerinin önerilmesi ve oluşturulması, anında dönütlerin sağlanması ve teknik destek sunulması gibi birçok alanda kullanılmaktadır. Bu araştırmada, yapay zekâ destekli şarkı üretimine yönelik yabancı dil olarak Türkçe öğrencilerinin görüşlerini incelemek amaçlanmıştır. Araştırma, Doğu Karadeniz Bölgesi’ndeki bir Türkçe öğretim merkezinde B1 ve B2 seviyelerinde öğrenim gören yabancı uyruklu 10 öğrenciden oluşmaktadır. Araştırmada nitel araştırma yöntemlerinden olan fenomenoloji (olgubilim) deseni kullanılmıştır. Araştırma bulgularından hareketle öğrencilerin şarkıların sözlerinin güzelliğini, ses kalitesini ve genel dinleme deneyimini olumlu yönde değerlendirdikleri gözlenmiştir. Ayrıca bu tür şarkıların dersleri daha eğlenceli hâle getireceği ve öğrenme sürecine katkı sağlayacağı yönünde görüş bildirmişlerdir. Ele alınan araştırma, yapay zekâ teknolojisinin dil eğitimi süreçlerinde etkin bir şekilde kullanılabileceğini ve bu kullanımın öğrencilerin dil becerilerindeki gelişim üzerinde olumlu bir etkiye sahip olabileceğini yansıtmaktadır. Ayrıca ulaşılan sonuçlardan hareketle dil öğretiminde yapay zekâ destekli materyallerin kullanımının daha geniş bir alana yayılması gerektiği ve bu tür yenilikçi yaklaşımların eğitim sistemlerine entegre edilmesinin önem arz ettiğine yönelik çeşitli önerilerde bulunulmuştur.
AtıfTR Dizin1İncele - MakaleAçık Erişim2024Türkçe Öğretmen Adaylarının Yapay Zekâ Okuryazarlıklarının Farklı Değişkenlere Göre İncelenmesi
Banaz, Emrullah; Demirel, Osman
Çağımızda eğitim alanına büyük bir kolaylık sağlayan yapay zekâ, farkındalık ve okuryazarlık açısından önem arz etmektedir. Ele alınan bu çalışma Türkçe öğretmen adaylarının yapay zekâ okuryazarlık düzeylerinin belirlenmesi amacıyla yapılmıştır. Bu amaç doğrultusunda öğretmen adaylarının okuryazarlık düzeyleri, cinsiyetleri, günlük internet kullanma durumları, yapay zekâya yönelik haberleri takip etmeleri açısından incelemeler yapılmıştır. Araştırmanın örneklemini Bayburt Üniversitesi’nde öğrenim görmekte olan 215 Türkçe öğretmen adayı oluşturmaktadır. Nicel araştırma yöntemlerinden tarama modelinin tercih edildiği araştırmada veriler, Yapay Zekâ Okuryazarlık Ölçeği ile toplanmıştır. Google Forms’lardan elde edilen veriler SPSS paket programı ile analiz edilmiş olup analiz sonucunda öğretmen adaylarının yapay zekâ okuryazarlıklarının yüksek düzeye yakın olduğu, öğretmen adaylarının cinsiyetlerinin yapay zekâ okuryazarlık düzeylerini etkileyen bir değişken olduğu başka bir deyişle araştırmaya dâhil olan öğretmen adaylarının yapay zekâ okuryazarlık düzeyleri cinsiyete göre farklılık gösterdiği, sınıf düzeylerinin yapay zekâ okuryazarlık açısından anlamlı bir farklılık oluşturduğu, öğretmen adaylarının internet kullanma süreleri ile yapay zekâ okuryazarlıklarının benzer olduğu ve konuyla ilgili haber takip etmelerinin yapay zekâ okuryazarlık düzeylerini etkileyen bir değişken olduğu sonucuna ulaşılmıştır.
AtıfOpenAlex63TR Dizin34İncele - MakaleAçık Erişim2024The Effect of STEM-Based Robotic Coding Education on Primary School Students’ Decision-Making Skills
Çakır, Zehra; Yalçın, Sema Altun; Meral, Meryem; Samur, Esila
This study aimed to determine the effectiveness of STEM-based robotic coding education for primary schoolers in terms of their decision-making skills. Mixed method was preferred in the research. Pretest-posttest control group designs were used in the quantitative phase, and the case study was used in the qualitative phase of the research. The study sample consisted of 65 third graders. Pre-testing of experimental and control group students was performed using the decision-making skill scale. STEM-based robotic coding training was given to the experimental group for 6 weeks. Afterwards, the decision-making skill scale was applied as a post-test to both the experimental and control group. Quantitative data were analyzed with the paired and independent samples t-test. A statistically significant increase was observed in the experimental group students’ decision-making skills in favor of the post-test. There was no significant difference between the pre-and post-test scores of the control group students. An interview with 15 experimental group students was conducted in order to collect qualitative data, and the interview results were analyzed using the content analysis technique. According to the qualitative findings, robotic coding education positively affected the students’ decision-making, problem-solving, and willingness to share ideas. Suggestions were made based on the results.
AtıfOpenAlex3TR Dizin1İncele - MakaleAçık Erişim2024İnsansız Hava Araçları ile Orman Yangınlarının Tespitinde Görüntü İşleme ve Yapay Zekâ Tabanlı Otomatik Bir Model
Kökhan, Serhan; Engin, Mustafa Alptekin
Nefes almak için gereksinim duyduğumuz oksijenin büyük bir kısmı, hayatta kalabilmemiz için hayati öneme sahip olan ormanlar tarafından üretilir. Bu yüzden ormanları korumak, içinde yaşadığımız yüzyılın en önemli konu başlıklarından bir tanesidir. Dünyanın farklı coğrafyalarında (ABD, Avustralya vb.) her yıl meydana gelen orman yangınları ciddi ekonomik kayba neden olmakta ve ekosistemi olumsuz olarak etkilemektedir. Ateşin çeşitli renk, şekil ve doku özelliklerine sahip olması orman yangınlarının uzaktan algılanmasını zorlaştırmaktadır. Yapılan bu çalışmada orman yangınlarının tespitinde insansız hava araçları vasıtasıyla tamamen otomatik bir sistem önerilmiştir. Ormanlık arazinin tespitinde uydu görüntüleri üzerine görüntü bölütleme yöntemi kullanılmış, insansız hava aracının tespit edilen bölgeyi en kısa zamanda ve en az görüntü ile kontrol edebilmesi için de küme kaplama yöntemi kullanılmıştır. Daha sonra elde edilen imgeler üretilen yapay zekâya dayalı ateş algılama modeline göre değerlendirilip başlangıç ve ileri aşamadaki yangınlar tespit edilmiş ve konumları elde edilmiştir. Sonuç olarak, yapılan çalışmada yaklaşık %97,51 değerinde doğrulukla yangın tespit eden bir erken uyarı modeli önerilmektedir.
AtıfOpenAlex3İncele - MakaleAçık Erişim2024An investigation of turkish pre-service teachers' attitudes towards artificial intelligence in terms of different variables
Maden, Sedat; Banaz, Emrullah
In today's world of digital transformation, technology has reached its peak with artificial intelligence. In this study, which aims to examine the attitudes of prospective Turkish teachers towards artificial intelligence in terms of different variables, the relational survey model, one of the quantitative research methods, was used. The data of the study were collected through the General Attitude. The data of the study were collected through the General Attitude Towards Artificial Intelligence Scale The data were collected from 206 students through Google Forms and analyzed with SPSS 23.00 program. In the study, it was concluded that pre-service teachers' attitudes towards artificial intelligence were at a high level, there was no significant difference between pre-service teachers' attitudes towards artificial intelligence and the variables of gender and internet usage time, pre-service teachers at the 1st grade level had higher attitudes towards artificial intelligence than pre-service teachers at the 2nd and 4th grades, and pre-service teachers who followed news about artificial intelligence had higher attitudes towards artificial intelligence than those who did not follow news about artificial intelligence.
AtıfOpenAlex40TR Dizin25İncele - MakaleAçık Erişim2024Sınıf öğretmenlerinin yapay zekâ kaygılarının farklı değişkenler açısından incelenmesi
Ari, Sinan
Yapay zekâ konusu her geçen gün hızla gündemde yerini almaktadır. Bu araştırma ile de sınıf öğretmenlerinin yapay zekâ kaygılarının cinsiyet, öğrenim düzeyi, meslekî hizmet süresi, günlük internet kullanma süresi ve yapay zekâ ile ilgili haberlerin takip edilme durumu değişkenlerine göre incelemek amaçlanmıştır. Bunun için araştırmada nicel araştırma yöntemlerinden tarama modeli kullanılmıştır. Türkiye’nin çeşitli yerlerinden gönüllü 310 sınıf öğretmeni ile gerçekleştirilen bu araştırmada veriler, Wang ve Wang (2019) tarafından geliştirilen, Akkaya, Özkan ve Özkan (2021) tarafından Türkçeye uyarlanan “Yapay Zekâ Kaygı (YZK) Ölçeği” aracılığı ile toplanmıştır. “Google Forms” aracılığı ile toplanan veriler SPSS 23.00 programı ile analiz edilmiştir. Araştırmada sınıf öğretmenlerinin yapay zekâ kaygı düzeyleri hususunda kararsız olduğu, kadın sınıf öğretmenlerin yapay zekâ kaygı düzeylerinin erkeklere göre daha yüksek olduğu sonucuna ulaşılmıştır. Öğrenim düzeyi, meslekî hizmet süresi, günlük internet kullanma süresi ve yapay zekâ ile ilgili haberleri takip etme durum değişkenlerine göre ise sınıf öğretmenlerinin kaygı düzeylerinde anlamlı bir farklılık olmadığı sonuçlarına ulaşılmıştır.
AtıfOpenAlex13TR Dizin3İncele - MakaleAçık Erişim2024Examination of Research Conducted on the Use of Artificial Intelligence in Science Education
Arici, Faruk
The advancement of artificial intelligence (AI) has been significantly driven by developments in machine learning and neural networks. As AI becomes increasingly pervasive, its applications are diversifying, with notable penetration in sectors such as health, education, social media, robotics, and entertainment. One area in which AI is being deployed is science education. The objective of this study is to examine the research that incorporates AI within the field of science education. By analysing trends in the reviewed studies, this research identifies the countries, institutions, journals and scholars that are the most prominent contributors to this field of enquiry. The findings suggest that the incorporation of artificial intelligence into science education is still in its infancy, with a paucity of widespread implementation. However, there is a discernible increase in the quantity of published works, with an emerging emphasis on the assessment of learning outcomes and the enhancement of academic performance. The findings indicate that the United States is the leading country in terms of publications related to AI in science education, accounting for 38% of the total contributions. Additionally, Türkiye has emerged as a notable contributor in this field, demonstrating a growing presence. The Journal of Science Education and Technology was identified as the preeminent journal publishing research on AI. Furthermore, the findings revealed that GPT was the most frequently utilised tool in this context. In light of these findings, it is recommended that future investigations into the application of artificial intelligence (AI) in science education employ a range of AI tools and explore the development of higher-order thinking skills.
AtıfOpenAlex6TR Dizin3İncele