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- MakaleYalnız künye2026Scopus SJRQ1AI-enhanced disaster education in middle schools: A mixed study from social studies classes
Yetişensoy, Okan
This research aims to examine the educational potential of AI-assisted chatbots, the popular AI technology of recent years, in middle school disaster education. In this regard, six chatbot characters in human form, each with fictional stories, were developed for various disasters taught within the scope of 5th-grade Social Studies in Türkiye. While the practitioner teacher instructed on disaster-related curricular outcomes in the experimental group through activities that included the use of the relevant chatbots, the same curricular outcomes in the control group were taught using conventional pedagogical methods. The experimental results showed that the disaster knowledge of the experimental group students was significantly higher than that of the control group students. However, no significant difference was observed in students’ disaster awareness levels. In the semi-structured interviews, students expressed that chatbots promoted a more effective, interesting, and student-centered disaster education with their distinctive design and pedagogical features. However, they noted that chatbots had certain inadequacies in developing concrete experiences, as well as psychomotor skills necessary to address disaster risks. Findings from the study indicate that the relevant AI technology is effective in promoting disaster education processes, particularly in facilitating more effective learning. Nevertheless, achieving more complex competencies for mitigating risks requires a higher level of technological advancement. At this point, it is suggested that undertaking initiatives to combine chatbots with extended reality environments will be beneficial in making them a more effective tools in disaster education processes.
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İncele - Kitap BölümüAçık Erişim2025Beyond Algorithms: Unveiling the Intersection of AI Ethics, Citizenship Education, and Social Studies
Yetişensoy, Okan; Zajda, J; Rapoport, A
The rapid rise of artificial intelligence (AI) in recent years has led to various positive transformations in everyday life. However, this rise has also brought about the emergence of some ethical issues that raise concerns in society. Examples of these ethical issues include the manipulative or harmful use of AI, privacy concerns, bias, discrimination, and lack of transparency and accountability. AI ethics, on the other hand, represent a set of guiding principles that stakeholders should adopt to ensure the responsible development and utilization of AI technologies. Considering that young people are potential users and developers of AI, teaching them these principles from an early age can be seen as a natural part of citizenship education. Thus, incorporating AI ethics-related content into the curriculum of various K-12 courses can be regarded as an effective approach. This chapter argued that social studies, with its focus on fostering effective citizens for the future, will emerge as a crucial application area for this approach. At this point, the relevant study aims to explore the intersections between AI ethics, citizenship education, and social studies. It is believed that the study will make a significant contribution to the literature by revealing the new dynamics created by AI in citizenship education and demonstrating the potential role that the social studies curriculum can play in this regard.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2Validity challenge in GenAI models: Evaluating the validity of content generated by text-to-image models in the context of social studies education
Yetişensoy, Okan
Generative artificial intelligence (GenAI) models have led to many positive changes in educational settings; however, the validity of the content they produce remains a significant topic of academic discussion. This research aims to determine the validity of content produced by text-to-image models within the context of social studies education. For this purpose, different curricular outcomes from the social studies curriculum implemented in Türkiye were identified, and image content related to them was generated using DALL-E 3. The validity of this content was assessed within a panel consisting of social studies teachers. Quantitative analyses revealed inconsistencies, showing that some images are sufficient in terms of scientific accuracy as well as socio-cultural and geographical relevance, while others are not. Intraclass correlation coefficient analyses demonstrated that there was significantly moderate agreement among the panelists regarding these evaluations, indicating that the assessments are reliable. Qualitative analysis, on the other hand, revealed that panelists evaluated some images positively in terms of validity, noting that the content produced by these models has significant potential to enhance the learning of relevant outcomes of social studies. However, it was indicated that certain images exhibit prominent algorithmic biases, provide misleading or incorrect information, include details that could be characterized as hallucinations, and could potentially negatively impact the learning process. Additionally, it was determined that some images, in an attempt to highlight a particular cultural element, displays representations that are either disconnected from reality or overemphasized, which could be termed “Socio-cultural algorithmic exaggerations”. At this point, it is considered essential for all educators, including social studies teachers, to develop a critical perspective on the content created by GenAI models and to use this content only after thorough evaluation.
AtıfScopus3OpenAlex3İncele - MakaleAçık Erişim2024Scopus SJRQ1The effect of AI-powered chatbots in social studies education
Yeti̇şensoy, Okan; Karaduman, Hıdır
The aim of this research is to investigate the educational potential of AI-powered chatbots in Social Studies learning-teaching processes. The study was conducted using embedded design, evaluated within the framework of mixed methods research. The study group consists of 78 6th-grade students studying in three different classes, along with one teacher who implemented the practices and guided the process. During the experimental phase of the study, lessons in the experimental group were taught by the practitioner teacher using an AI-powered chatbot named “SosyalciBot”. Meanwhile, lessons in two control groups were taught following the constructivist approach. At the end of the process, it was determined that the experimental group students’ post-test and permanency test scores were significantly higher than the control group students’ scores in both post-test and permanency test. In the semi-structured interviews, both students and the practitioner teacher provided positive evaluations of the pedagogical and design features of the chatbot, indicating that these features positively impacted the learning-teaching process. They also identified some shortcomings while offering suggestions for improvement. Based on the study findings, it is evident that chatbots have a high potential to contribute to Social Studies education. However, to fully harness this potential and achieve optimal effectiveness, further advancements and refinements in chatbot technology are required. At this point, it is recommended to conduct theoretical or applied studies focusing on developing chatbots with high communication capacity and explore innovative and constructive ideas regarding the integration of chatbots into educational environments.
AtıfScopus58WoS37İncele - MakaleAçık Erişim2023Scopus SJRQ2Artificial intelligence literacy teaching in social studies education
Yetişensoy, Okan; Rapoport, Anatoli
The increasing role of artificial intelligence (AI) in daily life has led to the emergence of numerous skill sets associated with AI. AI literacy, which is becoming an important citizenship competence, has become a skill that has gained importance in recent years. It is thought that the aim of social studies to prepare students as active citizens of today and the future has made AI literacy a direct subject of social studies education. However, the literature on the relationship between social studies and AI literacy is still scarce. This study aims to explore the relationship between social studies and AI literacy and to discuss the potential role of social studies in teaching AI literacy. In this direction, the concept of AI is defined, and the teaching of AI literacy in education is examined; the teaching of this literacy within the scope of social studies is discussed, and an example of a hands-on activity-supported lesson plan, which can be used in social studies classes, is presented. This study is important in terms of pointing out the potential role of social studies in AI literacy teaching.
AtıfScopus41OpenAlex57İncele - MakaleAçık Erişim2020Investigation of the Relationship between Social Studies Teacher Candidate's Unemployment Worries and Their Attitudes toward Teaching Profession
Yetisensoy, Okan; Sahin, Ibrahim Fevzi
This study aims to determine the levels of unemployment worries of social studies teacher candidates and 15.03.2019 their attitudes towards the teaching profession in terms of various variables and to investigate the relationship between their unemployment worries and their attitudes toward teaching profession. This study was Accepted: conducted in accordance with the relational screening model. As a result of the study, it was found that social 24.07.2019 studies teacher candidates' attitudes towards teaching profession differed significantly in favour of female teacher candidates, low-grade teacher candidates and teacher candidates with higher GPA. Also, it was found Online First: that social studies teacher candidates' unemployment worries were significantly higher in 4th grade teacher 26.07.2019 candidates but did not differ significantly by gender and GPA variables. In addition, the findings of the study showed that there were significant negative relationships between the sub-dimensions of unemployment Published: worries and attitudes towards teaching profession and there was a negative, medium level significant 31.07.2020 relationship between teacher candidates' general unemployment worries and their attitudes towards teaching profession. Moreover, it was determined that unemployment worries of the 4th grade social studies teacher candidates were significantly higher than the second-grade teacher candidates, whereas their attitudes towards teaching profession were significantly lower. In conclusion it is thought that the findings and negative relationships determined in this study provide strong clues suggesting that social studies teacher candidates' unemployment worries negatively affect their attitudes towards teaching profession.
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İncele - MakaleAçık Erişim2015Scopus SJRQ3The investigation of the effects of frayer model on vocabulary knowledge in social studies; [Sosyal bilgilerde kelime hazinesinin geliştirilmesinde frayer modelinin etkisinin ıncelenmesi]
Ilter, İlhan
The purpose of the present study is to determine the effects of Frayer model on the development of vocabulary knowledge in social studies. A quasi-experimental nonequivalent control group design was used in the study. For the research, an experimental (N=19) and a control group (N=18) were randomly selected. While Frayer model as text based organizer was utilized on vocabulary instruction in the experimental group, the definitional and contextual approaches by integrating were used in the control group. This research was implemented at a state school with the 4th grade students in Bayburt, in 2013-2014 academic season. The scale, which was developed by Wesche and Paribakht (1996) and validity and reliability of which were examined and adapted to Turkish by the researcher, was used to determine the students’ vocabulary knowledge level. As for the results, it was found that the experimental group was more successful in vocabulary knowledge through the meanings of the target words by enlarging their vocabulary capacity in-depth. The data obtained from the study demonstrated that Frayer model facilitated the students to identify relevant, irrelevant attributes, examples and non-examples of the concepts and uncover the relationships and hierarchical structures between the concepts, thus guide to generate the meanings of terms by activating prior knowledge. Therefore, it helps to the students facilitate development of vocabulary knowledge and vocabulary acquisition.
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