Araştırma Makalesi
BibTex RIS Kaynak Göster

SOSYAL BİLİMLER EĞİTİMİNDE YAPAY ZEKA

Yıl 2024, Cilt: 8 Sayı: 3, 51 - 80, 31.12.2024

Öz

Yapay zekâ, eğitim doğrultusunda öğrenme tekniklerini ve öğrenme sonuçlarını geliştirmeyi amaçlamaktadır. Yapay zekâ teknolojileri, öğrencilerin öğrenme yaklaşımını önemli ölçüde değiştirirken, öğretmenlerin öğrencileri doğru bir şekilde değerlendirmelerine, ihtiyaçlarını karşılamalarına ve performans düzeylerini yükseltmelerine izin vermektedir. Bu araştırma sosyal bilgiler eğitiminde kullanılması mümkün alan yapay zekâ teknolojileri tartışılmaktadır. Günümüzde çok önemli bir araç haline gelen yapay zekâ teknolojilerinin sosyal bilgiler eğitiminde kullanım oranı oldukça düşüktür. Yapay zekâ ile desteklenen bir müfredat, öğrencilerin veri toplama, yapay zekâ kullanarak deneyleri analiz etme ve yürütme gibi becerilere sahip olmalarını sağlayabilir. Yapay zekâ teknolojisinin küresel düzeyde yüksek kaliteli eğitime erişim, daha iyi öğrenme sonuçları, zaman ve para tasarrufu sağlayacağı düşünülmektedir.

Kaynakça

  • Acemoglu, D. and Restrepo, P., 2020. Robots and Jobs: Evidence from US Labor Markets. Journal of Political Econonmy, [e-journal] 128(6), pp. 2188-2244. https://doi.org/10.1086/705716.
  • Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., ... & McGrew, B. (2023). Gpt-4 technical report. arXiv preprint arXiv:2303.08774.
  • Adamopoulou, E., & Moussiades, L. (2020). Chatbots: History, technology, and applications. Machine Learning with applications, 2, 100006.
  • Ahmad, S.F., Alam, M.M., Rahmat, M.K., Mubarik, M.S. and Hyder, S.I., 2022. Academic and Administrative Role of Artificial Intelligence in Education. Sustainability, 14(3), article no. 1101. https://doi.org/10.3390/su14031101.
  • Ahmed, A. A. A., & Ganapathy, A. (2021). Creation of automated content with embedded artificial intelligence: a study on learning management system for educational entrepreneurship. Academy of Entrepreneurship Journal, 27(3), 1-10.
  • Ali, S., Park, H. W., & Breazeal, C. (2021). A social robot’s influence on children’s figural creativity during gameplay. International Journal of Child-Computer Interaction, 28, 100234.
  • Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 3, 100068.
  • Bouschery, S. G., Blazevic, V., & Piller, F. T. (2023). Augmenting human innovation teams with artificial intelligence: Exploring transformer‐based language models. Journal of Product Innovation Management, 40(2), 139-153.
  • Brougham, D. and Haar, J., 2020. Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study. Technological Forecasting and Social Change, [e-journal] 161, article no. 120276. https://doi.org/10.1016/j.techfore.2020.120276.
  • Bryant, J., Heitz, C., Sanghvi, S., & Wagle, D. (2020). How artificial intelligence will impact K-12 teachers. Retrieved May, 12, 2020.
  • Chan, C. K. Y., & Tsi, L. H. (2023). The AI revolution in education: Will AI replace or assist teachers in higher education?. arXiv preprint arXiv:2305.01185.
  • Chatterjee, S. and Bhattacharjee, K.K., 2020. Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies, [e-journal] 25(5), pp. 3443-3463. https://doi.org/10.1007/ s10639-020-10159-7.
  • Ciarli, T., Kenney, M., Massini, S. and Piscitello, L., 2021. Digital technologies, innovation, and skills: Emerging trajectories and challenges. Research Policy, [e-journal] 50(7), article no. 104289. https://doi.org/10.1016/j.respol.2021.104289.
  • Cope, B., Kalantzis, M. and Searsmith, D., 2020. Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, [e-journal] 53(12), pp. 1229-1245. https://doi.org/10.1080/00131857. 2020.1728732.
  • Cukurova, M., Kent, C. and Luckin, R., 2019. Artificial intelligence and multimodal data in the service of human decision-making: A case study in debate tutoring. British Journal of Educational Technology, [e-journal] 50(6), pp. 3032–3046. https://doi.org/10.1111/ bjet.12829.
  • Dai, W., Lin, J., Jin, H., Li, T., Tsai, Y. S., Gašević, D., & Chen, G. (2023, July). Can large language models provide feedback to students? A case study on ChatGPT. In 2023 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 323-325). IEEE.
  • De Swarte, T., Boufous, O., & Escalle, P. (2019). Artificial intelligence, ethics and human values: the cases of military drones and companion robots. Artificial Life and Robotics, 24, 291-296.
  • Dellermann, D., Lipusch, N., Ebel, P. and Leimeister, J.M., 2018. Design principles for a hybrid intelligence decision support system for business model validation. Electronic Markets, [e-journal] 29(3), pp. 423-441. https://doi.org/10.1007/s12525-018-0309-2.
  • Dodel, M. and Mesch, G.S., 2020. Perceptions about the impact of automation in the workplace. Informaiton, Commununication & Society, [e-journal] 23(5), pp. 665-680. https://doi.org/10.1080/1369118X.2020.1716043.
  • Dumitru, D. and Halpern, D.F., 2023. Critical Thinking: Creating Job-Proof Skills for the Future of Work. Journal of Intelligence, [e-journal] 11(10), article no. 194. https://doi.org/10.3390/jintelligence11100194.
  • Elkins, S., Kochmar, E., Serban, I., & Cheung, J. C. (2023, June). How useful are educational questions generated by large language models?. In International Conference on Artificial Intelligence in Education (pp. 536-542). Cham: Springer Nature Switzerland.
  • Espinosa, M. P. P., & Cartagena, F. C. (2021). Tecnologías avanzadas para afrontar el reto de la innovación educativa. RIED-Revista Iberoamericana De Educación a Distancia, 24(1), 33-53.
  • European Union – Eurobarometer, 2020. Attitudes towards the Impact of Digitalisation on Daily Lives. [online]. Available at: [Accessed 12 august 2023].
  • Fahimirad, M., 2018. A Review on Application of Artificial Intelligence in Teaching and Learning in Educational Contexts. International Journal of Learning and Development, [e-journal] 8(4), pp. 106-118. https://doi.org/10.5296/ijld.v8i4.14057.
  • Farchy, J. and Denis, J., 2020. Artificial intelligence. [online] 12 Temmuz 2024 tarihinde https://econpapers.repec.org/paper/haljournl/halshs-04006773.htm adresinden erişildi.
  • Felea, M., Bucur, M., Negruțiu, C., Nițu, M. and Stoica, D.A., 2021. Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM. Amfiteatru Economic, [e-journal] 23(57), pp. 376-391. https://doi.org/10.24818/EA/2021/57/376.
  • Frymier, A. B., Shulman, G. M., & Houser, M. (1996). The development of a learner empowerment measure. Communication education, 45(3), 181-199.
  • Füller, J., Hutter, K., Wahl, J., Bilgram, V. and Tekic, Z., 2022. How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators. Technological Forecasting and Social Change, [e-journal] 178, article no. 121598. https://doi.org/10.1016/j.techfore.2022.121598.
  • González-Calatayud, V., Prendes-Espinosa, P., & Roig-Vila, R. (2021). Artificial intelligence for student assessment: A systematic review. Applied sciences, 11(12), 5467.
  • Google Trends. (2024): 12 Temmuz 2024 tarihinde https://www.google.com/trends adresinden erişildi.
  • Goralski, M.A. and Tan, T.K., 2020. Artificial intelligence and sustainable development. International Journal of Management Education, [e-journal] 18(1), article no. 100330. https://doi.org/10.1016/j.ijme.2019.100330.
  • GPT-4.(2023). 12 Temmuz 2024 tarihinde https://openai.com/index/gpt-4-research/ adresinden erişildi.
  • Halpern, D., & Katz, J. E. (2017). Texting's consequences for romantic relationships: A cross-lagged analysis highlights its risks. Computers in Human Behavior, 71, 386-394.
  • Hao, K. (2019). China has started a grand experiment in AI education. It could reshape how the world learns. MIT Technology Review, 123(1), 1-9.
  • He, J., Chen, C., He, S., & Zhou, Z. (2014). Is there lower social anxiety level in online interaction?. Advances in Psychological Science, 22(2), 288.
  • Hinojo-Lucena, F.-J., Díaz, I.A., Reche, M.P.C. and Romero-Rodríguez, J.-M., 2019. Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature. Education Sciences, [e-journal] 9(1), article no. 51. https://doi.org/10.3390/ educsci9010051.
  • Huang, Y. and Sharif, N., 2017. From ‘labour dividend’ to ‘robot dividend’: Technological change and workers’ power in South China. Agrarian South: Journal of Political Economy, [e-journal] 6(1), pp. 53-78. https://doi.org/10.1177/2277976017721284.
  • Hwang, G. J., & Chang, C. Y. (2023). A review of opportunities and challenges of chatbots in education. Interactive Learning Environments, 31(7), 4099-4112.
  • Jin, M. G., Luo, X. M., & Zhang, G. H. (2017). The development and relationship between freshmen’s mobile phone dependence and social adaptation: A cross lagged regression analysis. Psychology: Techniques and Application, 5(8), 449-454.
  • Jonnalagadda, A., Rajvir, M., Singh, S., Chandramouliswaran, S., George, J., & Kamalov, F. (2023). An Ensemble-Based Machine Learning Model for Emotion and Mental Health Detection. Journal of Information & Knowledge Management, 22(02), 2250075.
  • Kamalov, F., Santandreu Calonge, D. and Gurrib, I., 2023. New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability, [e-journal] 15(16), article no. 12451. https://doi.org/10.3390/su151612451.
  • Koch, M., Manuylov, I. and Smolka, M., 2021. Robots and firms. Economic Journal, 131, pp. 2553-2584.
  • Kochmar, E., Vu, D. D., Belfer, R., Gupta, V., Serban, I. V., & Pineau, J. (2022). Automated data-driven generation of personalized pedagogical interventions in intelligent tutoring systems. International Journal of Artificial Intelligence in Education, 32(2), 323-349.
  • Kulshreshtha, D., Shayan, M., Belfer, R., Reddy, S., Serban, I. V., & Kochmar, E. (2022). Few-shot question generation for personalized feedback in intelligent tutoring systems. In PAIS 2022 (pp. 17-30). IOS Press.
  • Lai, T., Xie, C., Ruan, M., Wang, Z., Lu, H. and Fu, S., 2023. Influence of artificial intelligence in education on adolescents’ social adaptability: The mediatory role of social support. PLoS ONE, [e-journal] 18(3), article no. e0283170. https://doi.org/10.1371/ journal.pone.0283170.
  • Li, C., Zhang, Y., Niu, X., Chen, F. and Zhou, H., 2023. Does Artificial Intelligence Promote or Inhibit On-the-Job Learning? Human Reactions to AI at Work. Systems, [e-journal] 11(3 article no. 114. https://doi.org/10.3390/systems11030114.
  • Liu, Z., Li, Y., Wei, L., & Wang, W. (2022, August). Adaptive Exercise Recommendation Based on Cognitive Level and Collaborative Filtering. In International Conference on Computer Science and Education (pp. 503-518). Singapore: Springer Nature Singapore.
  • Long, T., Qin, J., Shen, J., Zhang, W., Xia, W., Tang, R., ... & Yu, Y. (2022, February). Improving knowledge tracing with collaborative information. In Proceedings of the fifteenth ACM international conference on web search and data mining (pp. 599-607).
  • Lu, Y., Ma, A. Y., & Chen, P. P. (2021). AI+ Education: Key Technologies and Typical Application Scenarios [J]. Digital Teaching in Primary and Secondary, 10, 5-9.
  • Luan, H., & Tsai, C. C. (2021). A review of using machine learning approaches for precision education. Educational Technology & Society, 24(1), 250-266.
  • Luckin, R., Holmes, W., Griffiths, M. and Forcier, L.B., 2016. Intelligence Unleashed: An Argument for AI in Education. London, UK: Pearson Education.
  • Mahfood, B., Elnagar, A., & Kamalov, F. (2023). Emotion Recognition from Speech Using Convolutional Neural Networks. In Proceedings of Data Analytics and Management: ICDAM 2022 (pp. 719-731). Singapore: Springer Nature Singapore.
  • Mann Levesque, E., 2018. The Role of AI in Education and the Changing US Workforce, Brookings. [online]. 12 Temmuz 2024 tarihinde https://www.brookings.edu/articles/the-role-of-ai-in-education-and-the-changing-u-s-workforce/ adresinden erişildi.
  • Minn, S. (2022). AI-assisted knowledge assessment techniques for adaptive learning environments. Computers and Education: Artificial Intelligence, 3, 100050.
  • Moonpreneur, 2023. AI’s Negative and Positive Impact on Education Industry. [online]. 12 Temmuz 2024 tarihinde https://moonpreneur.com/blog/ai-negative-and-positive-impact-oneducation-industry adresinden erişildi.
  • Moreno-Guerrero, A.-J., López-Belmonte, J., Marín-Marín, J.-A. and Soler-Costa, R., 2020. Scientific Development of Educational Artificial Intelligence in Web of Science. Future Internet, [e-journal]12(8), article no. 124. https://doi.org/10.3390/fi12080124. Davis, K. (1953, Eylül-Ekim). Yönetim İletişimi ve Asma. Harvard Business Review, 31 (5), s. 43-49.
  • Mou, X., 2019. Artificial Intelligence, No 32652. World Bank Publications - Reports, The World Bank Group. [online] 12 Temmuz 2024 tarihinde https://econpapers.repec.org/RePEc: adresinden erişildi.
  • Mousavinasab, E., Zarifsanaiey, N., R. Niakan Kalhori, S., Rakhshan, M., Keikha, L., & Ghazi Saeedi, M. (2021). Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods. Interactive Learning Environments, 29(1), 142-163.
  • Nwana, H. S. (1990). Intelligent tutoring systems: an overview. Artificial Intelligence Review, 4(4), 251-277.
  • Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033.
  • Pelau, C., Ene, I. and Pop, M.I., 2021. The Impact of Artificial Intelligence on Consumers’ Identity and Human Skills. Amfiteatru Economic, [e-journal] 23(56), pp. 33-45. https://doi.org/10.24818/EA/2021/56/33.
  • Pogue, L. L., & AhYun, K. (2006). The effect of teacher nonverbal immediacy and credibility on student motivation and affective learning. Communication education, 55(3), 331-344.
  • Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?. Journal of applied learning and teaching, 6(1), 342-363.
  • Ryan, T., Henderson, M., Ryan, K., & Kennedy, G. (2023). Identifying the components of effective learner-centred feedback information. Teaching in Higher Education, 28(7), 1565-1582.
  • Shah, M. A., & Santandreu Calonge, D. (2019). Frugal MOOCs: an adaptable contextualized approach to MOOC designs for refugees. International review of research in open and distributed learning, 20(5), 1-19.
  • Sowa, K., Przegalinska, A. and Ciechanowski, L., 2021. Cobots in knowledge work-AI collaboration in managerial professions. Journal of Business Research, [e-journal]125, pp. 135-142. https://doi.org/10.1016/j.jbusres.2020.11.038.
  • Sprecher, S. (2014). Initial interactions online-text, online-audio, online-video, or face-to-face: Effects of modality on liking, closeness, and other interpersonal outcomes. Computers in Human Behavior, 31, 190-197.
  • St-Hilaire, F., Vu, D. D., Frau, A., Burns, N., Faraji, F., Potochny, J., ... & Kochmar, E. (2022). A new era: Intelligent tutoring systems will transform online learning for millions. arXiv preprint arXiv:2203.03724.
  • Stokel-Walker, C. (2022). AI bot ChatGPT writes smart essays-should academics worry?. Nature.
  • Sullins, J., Craig, S.D. and Hu, X., 2015. Exploring the effectiveness of a novel feedback mechanism within an intelligent tutoring system. International Journal of Learning Technology, [e-journal]10(3), pp. 220-236. https://doi.org/10.1504/IJLT.2015.072358.
  • Terzopoulos, G., & Satratzemi, M. (2019, September). Voice assistants and artificial intelligence in education. In Proceedings of the 9th Balkan Conference on Informatics (pp. 1-6).
  • Tsai, C.-Y., Marshall, J.D., Choudhury, A., Serban, A., Hou, Y.T.-Y., Jung, M.F., Dionne, S.D. and Yammarino, F.J., 2022. Human-robot collaboration: A multilevel and integrated leadership framework. The Leadership Quarterly, [e-journal] 33(1), article no. 101594. https://doi.org/10.1016/j.leaqua.2021.101594.
  • Türker, O., & Kahraman, A. D. (2024). Artificial intelligence software in the context of educational process. TOJET : The Turkish Online Journal of Educational Technology, 23(1) Retrieved from https://www.proquest.com/scholarly-journals/artificial-intelligence-software-context/docview/2923289690/se-2
  • Ufarte Ruiz, M. J. and Manfredi Sánchez, J. L., 2019. Algorithms and bots applied to journalism. The case of Narrativa Inteligencia Artificial: structure, production and informative quality. Doxa Comunicación, [e-journal] 29, pp. 213-233. https://doi.org/10.31921/doxacom.n29a11.
  • Van Der Niet, A. and Bleakley, A., 2020. Where Medical Education Meets Artificial Intelligence: “Does Technology Care?”. Medical Education, [e-journal] 55(1), article no. 30-36. https://doi.org/10.1111/medu.14131.
  • Villegas-Ch, W., Arias-Navarrete, A., & Palacios-Pacheco, X. (2020). Proposal of an Architecture for the Integration of a Chatbot with Artificial Intelligence in a Smart Campus for the Improvement of Learning. Sustainability, 12(4), 1500.
  • Vittorini, P., Menini, S., & Tonelli, S. (2021). An AI-based system for formative and summative assessment in data science courses. International Journal of Artificial Intelligence in Education, 31(2), 159-185.
  • Wang T, Y., Guo C., Miao H, L, et al. (2021). The current situation of social adaption of left-behind children and its relationship with emotional regulation strategies during COVID-19 epidemic. Journal of Southwest University Natural Science Edition, 43(8), 1-9.
  • Wang, Y.-Y. and Wang, Y.-S., 2019. Development and validation of an artificial intelligence anxiety scale: An initial application in predicting motivated learning behavior. Interactive Learning Environments, [e-journal] 30(4), pp. 619-634. https://doi.org/10.1080/ 10494820.2019. 1674887.
  • Wilcox, H. Cheating Aussie Student Fails Uni Exam after Being Caught Using Artificial Intelligence Chatbot to Write Essay—Now Australia’s Top Universities Are Considering a Bizarre Solution to Stop It Happening Again. DailyMail. 12 Temmuz 2024 tarihinde https://www.dailymail.co.uk/news/article-11688905/UNSW-student-fails-exam-using-OpenAIs-ChatGPT-write-essay.html adresinden erişildi.
  • Wileman, S. (2022). South Staffordshire College. 12 Temmuz 2024 tarihinde https://teachermatic.com/blog/ adresindne erişildi.
  • Wollny, S., Schneider, J., Di Mitri, D., Weidlich, J., Rittberger, M., & Drachsler, H. (2021). Are we there yet?-a systematic literature review on chatbots in education. Frontiers in artificial intelligence, 4, 654924.
  • Xiao, M. and Yi, H., 2020. Building an efficient artificial intelligence model for personalized training in colleges and universities. Computer Applications in Engineering Education, [e-journal] 29(2), pp. 350-358. https://doi.org/10.1002/cae.22235.
  • Xiao, W., Li, M., Chen, M., & Barnawi, A. (2020). Deep interaction: Wearable robot-assisted emotion communication for enhancing perception and expression ability of children with Autism Spectrum Disorders. Future Generation Computer Systems, 108, 709-716.
  • Yam, K.C., Goh, E.-Y., Fehr, R., Lee, R., Soh, H. and Gray, K., 2022. When your boss is a robot: Workers are more spiteful to robot supervisors that seem more human. Journal of Experimental Social Psychology, [e-journal] https://doi.org/10.1016/j.jesp.2022.104360.

PRACTICAL INTELLIGENCE IN SOCIAL EDUCATION

Yıl 2024, Cilt: 8 Sayı: 3, 51 - 80, 31.12.2024

Öz

Artificial intelligence aims to improve learning techniques and learning outcomes in the field of education. Artificial intelligence technologies significantly change students' learning approaches while allowing teachers to accurately assess students, meet their needs, and elevate their performance levels. This research discusses the possible areas of artificial intelligence technologies that can be used in social studies education. The usage rate of artificial intelligence technologies, which have become a very important tool today, is quite low in social studies education. A curriculum supported by artificial intelligence can enable students to acquire skills such as data collection and analyzing and conducting experiments using artificial intelligence. It is believed that artificial intelligence technology will provide access to high-quality education on a global scale, better learning outcomes, and savings in time and money.

Kaynakça

  • Acemoglu, D. and Restrepo, P., 2020. Robots and Jobs: Evidence from US Labor Markets. Journal of Political Econonmy, [e-journal] 128(6), pp. 2188-2244. https://doi.org/10.1086/705716.
  • Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., ... & McGrew, B. (2023). Gpt-4 technical report. arXiv preprint arXiv:2303.08774.
  • Adamopoulou, E., & Moussiades, L. (2020). Chatbots: History, technology, and applications. Machine Learning with applications, 2, 100006.
  • Ahmad, S.F., Alam, M.M., Rahmat, M.K., Mubarik, M.S. and Hyder, S.I., 2022. Academic and Administrative Role of Artificial Intelligence in Education. Sustainability, 14(3), article no. 1101. https://doi.org/10.3390/su14031101.
  • Ahmed, A. A. A., & Ganapathy, A. (2021). Creation of automated content with embedded artificial intelligence: a study on learning management system for educational entrepreneurship. Academy of Entrepreneurship Journal, 27(3), 1-10.
  • Ali, S., Park, H. W., & Breazeal, C. (2021). A social robot’s influence on children’s figural creativity during gameplay. International Journal of Child-Computer Interaction, 28, 100234.
  • Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 3, 100068.
  • Bouschery, S. G., Blazevic, V., & Piller, F. T. (2023). Augmenting human innovation teams with artificial intelligence: Exploring transformer‐based language models. Journal of Product Innovation Management, 40(2), 139-153.
  • Brougham, D. and Haar, J., 2020. Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study. Technological Forecasting and Social Change, [e-journal] 161, article no. 120276. https://doi.org/10.1016/j.techfore.2020.120276.
  • Bryant, J., Heitz, C., Sanghvi, S., & Wagle, D. (2020). How artificial intelligence will impact K-12 teachers. Retrieved May, 12, 2020.
  • Chan, C. K. Y., & Tsi, L. H. (2023). The AI revolution in education: Will AI replace or assist teachers in higher education?. arXiv preprint arXiv:2305.01185.
  • Chatterjee, S. and Bhattacharjee, K.K., 2020. Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies, [e-journal] 25(5), pp. 3443-3463. https://doi.org/10.1007/ s10639-020-10159-7.
  • Ciarli, T., Kenney, M., Massini, S. and Piscitello, L., 2021. Digital technologies, innovation, and skills: Emerging trajectories and challenges. Research Policy, [e-journal] 50(7), article no. 104289. https://doi.org/10.1016/j.respol.2021.104289.
  • Cope, B., Kalantzis, M. and Searsmith, D., 2020. Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, [e-journal] 53(12), pp. 1229-1245. https://doi.org/10.1080/00131857. 2020.1728732.
  • Cukurova, M., Kent, C. and Luckin, R., 2019. Artificial intelligence and multimodal data in the service of human decision-making: A case study in debate tutoring. British Journal of Educational Technology, [e-journal] 50(6), pp. 3032–3046. https://doi.org/10.1111/ bjet.12829.
  • Dai, W., Lin, J., Jin, H., Li, T., Tsai, Y. S., Gašević, D., & Chen, G. (2023, July). Can large language models provide feedback to students? A case study on ChatGPT. In 2023 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 323-325). IEEE.
  • De Swarte, T., Boufous, O., & Escalle, P. (2019). Artificial intelligence, ethics and human values: the cases of military drones and companion robots. Artificial Life and Robotics, 24, 291-296.
  • Dellermann, D., Lipusch, N., Ebel, P. and Leimeister, J.M., 2018. Design principles for a hybrid intelligence decision support system for business model validation. Electronic Markets, [e-journal] 29(3), pp. 423-441. https://doi.org/10.1007/s12525-018-0309-2.
  • Dodel, M. and Mesch, G.S., 2020. Perceptions about the impact of automation in the workplace. Informaiton, Commununication & Society, [e-journal] 23(5), pp. 665-680. https://doi.org/10.1080/1369118X.2020.1716043.
  • Dumitru, D. and Halpern, D.F., 2023. Critical Thinking: Creating Job-Proof Skills for the Future of Work. Journal of Intelligence, [e-journal] 11(10), article no. 194. https://doi.org/10.3390/jintelligence11100194.
  • Elkins, S., Kochmar, E., Serban, I., & Cheung, J. C. (2023, June). How useful are educational questions generated by large language models?. In International Conference on Artificial Intelligence in Education (pp. 536-542). Cham: Springer Nature Switzerland.
  • Espinosa, M. P. P., & Cartagena, F. C. (2021). Tecnologías avanzadas para afrontar el reto de la innovación educativa. RIED-Revista Iberoamericana De Educación a Distancia, 24(1), 33-53.
  • European Union – Eurobarometer, 2020. Attitudes towards the Impact of Digitalisation on Daily Lives. [online]. Available at: [Accessed 12 august 2023].
  • Fahimirad, M., 2018. A Review on Application of Artificial Intelligence in Teaching and Learning in Educational Contexts. International Journal of Learning and Development, [e-journal] 8(4), pp. 106-118. https://doi.org/10.5296/ijld.v8i4.14057.
  • Farchy, J. and Denis, J., 2020. Artificial intelligence. [online] 12 Temmuz 2024 tarihinde https://econpapers.repec.org/paper/haljournl/halshs-04006773.htm adresinden erişildi.
  • Felea, M., Bucur, M., Negruțiu, C., Nițu, M. and Stoica, D.A., 2021. Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM. Amfiteatru Economic, [e-journal] 23(57), pp. 376-391. https://doi.org/10.24818/EA/2021/57/376.
  • Frymier, A. B., Shulman, G. M., & Houser, M. (1996). The development of a learner empowerment measure. Communication education, 45(3), 181-199.
  • Füller, J., Hutter, K., Wahl, J., Bilgram, V. and Tekic, Z., 2022. How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators. Technological Forecasting and Social Change, [e-journal] 178, article no. 121598. https://doi.org/10.1016/j.techfore.2022.121598.
  • González-Calatayud, V., Prendes-Espinosa, P., & Roig-Vila, R. (2021). Artificial intelligence for student assessment: A systematic review. Applied sciences, 11(12), 5467.
  • Google Trends. (2024): 12 Temmuz 2024 tarihinde https://www.google.com/trends adresinden erişildi.
  • Goralski, M.A. and Tan, T.K., 2020. Artificial intelligence and sustainable development. International Journal of Management Education, [e-journal] 18(1), article no. 100330. https://doi.org/10.1016/j.ijme.2019.100330.
  • GPT-4.(2023). 12 Temmuz 2024 tarihinde https://openai.com/index/gpt-4-research/ adresinden erişildi.
  • Halpern, D., & Katz, J. E. (2017). Texting's consequences for romantic relationships: A cross-lagged analysis highlights its risks. Computers in Human Behavior, 71, 386-394.
  • Hao, K. (2019). China has started a grand experiment in AI education. It could reshape how the world learns. MIT Technology Review, 123(1), 1-9.
  • He, J., Chen, C., He, S., & Zhou, Z. (2014). Is there lower social anxiety level in online interaction?. Advances in Psychological Science, 22(2), 288.
  • Hinojo-Lucena, F.-J., Díaz, I.A., Reche, M.P.C. and Romero-Rodríguez, J.-M., 2019. Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature. Education Sciences, [e-journal] 9(1), article no. 51. https://doi.org/10.3390/ educsci9010051.
  • Huang, Y. and Sharif, N., 2017. From ‘labour dividend’ to ‘robot dividend’: Technological change and workers’ power in South China. Agrarian South: Journal of Political Economy, [e-journal] 6(1), pp. 53-78. https://doi.org/10.1177/2277976017721284.
  • Hwang, G. J., & Chang, C. Y. (2023). A review of opportunities and challenges of chatbots in education. Interactive Learning Environments, 31(7), 4099-4112.
  • Jin, M. G., Luo, X. M., & Zhang, G. H. (2017). The development and relationship between freshmen’s mobile phone dependence and social adaptation: A cross lagged regression analysis. Psychology: Techniques and Application, 5(8), 449-454.
  • Jonnalagadda, A., Rajvir, M., Singh, S., Chandramouliswaran, S., George, J., & Kamalov, F. (2023). An Ensemble-Based Machine Learning Model for Emotion and Mental Health Detection. Journal of Information & Knowledge Management, 22(02), 2250075.
  • Kamalov, F., Santandreu Calonge, D. and Gurrib, I., 2023. New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability, [e-journal] 15(16), article no. 12451. https://doi.org/10.3390/su151612451.
  • Koch, M., Manuylov, I. and Smolka, M., 2021. Robots and firms. Economic Journal, 131, pp. 2553-2584.
  • Kochmar, E., Vu, D. D., Belfer, R., Gupta, V., Serban, I. V., & Pineau, J. (2022). Automated data-driven generation of personalized pedagogical interventions in intelligent tutoring systems. International Journal of Artificial Intelligence in Education, 32(2), 323-349.
  • Kulshreshtha, D., Shayan, M., Belfer, R., Reddy, S., Serban, I. V., & Kochmar, E. (2022). Few-shot question generation for personalized feedback in intelligent tutoring systems. In PAIS 2022 (pp. 17-30). IOS Press.
  • Lai, T., Xie, C., Ruan, M., Wang, Z., Lu, H. and Fu, S., 2023. Influence of artificial intelligence in education on adolescents’ social adaptability: The mediatory role of social support. PLoS ONE, [e-journal] 18(3), article no. e0283170. https://doi.org/10.1371/ journal.pone.0283170.
  • Li, C., Zhang, Y., Niu, X., Chen, F. and Zhou, H., 2023. Does Artificial Intelligence Promote or Inhibit On-the-Job Learning? Human Reactions to AI at Work. Systems, [e-journal] 11(3 article no. 114. https://doi.org/10.3390/systems11030114.
  • Liu, Z., Li, Y., Wei, L., & Wang, W. (2022, August). Adaptive Exercise Recommendation Based on Cognitive Level and Collaborative Filtering. In International Conference on Computer Science and Education (pp. 503-518). Singapore: Springer Nature Singapore.
  • Long, T., Qin, J., Shen, J., Zhang, W., Xia, W., Tang, R., ... & Yu, Y. (2022, February). Improving knowledge tracing with collaborative information. In Proceedings of the fifteenth ACM international conference on web search and data mining (pp. 599-607).
  • Lu, Y., Ma, A. Y., & Chen, P. P. (2021). AI+ Education: Key Technologies and Typical Application Scenarios [J]. Digital Teaching in Primary and Secondary, 10, 5-9.
  • Luan, H., & Tsai, C. C. (2021). A review of using machine learning approaches for precision education. Educational Technology & Society, 24(1), 250-266.
  • Luckin, R., Holmes, W., Griffiths, M. and Forcier, L.B., 2016. Intelligence Unleashed: An Argument for AI in Education. London, UK: Pearson Education.
  • Mahfood, B., Elnagar, A., & Kamalov, F. (2023). Emotion Recognition from Speech Using Convolutional Neural Networks. In Proceedings of Data Analytics and Management: ICDAM 2022 (pp. 719-731). Singapore: Springer Nature Singapore.
  • Mann Levesque, E., 2018. The Role of AI in Education and the Changing US Workforce, Brookings. [online]. 12 Temmuz 2024 tarihinde https://www.brookings.edu/articles/the-role-of-ai-in-education-and-the-changing-u-s-workforce/ adresinden erişildi.
  • Minn, S. (2022). AI-assisted knowledge assessment techniques for adaptive learning environments. Computers and Education: Artificial Intelligence, 3, 100050.
  • Moonpreneur, 2023. AI’s Negative and Positive Impact on Education Industry. [online]. 12 Temmuz 2024 tarihinde https://moonpreneur.com/blog/ai-negative-and-positive-impact-oneducation-industry adresinden erişildi.
  • Moreno-Guerrero, A.-J., López-Belmonte, J., Marín-Marín, J.-A. and Soler-Costa, R., 2020. Scientific Development of Educational Artificial Intelligence in Web of Science. Future Internet, [e-journal]12(8), article no. 124. https://doi.org/10.3390/fi12080124. Davis, K. (1953, Eylül-Ekim). Yönetim İletişimi ve Asma. Harvard Business Review, 31 (5), s. 43-49.
  • Mou, X., 2019. Artificial Intelligence, No 32652. World Bank Publications - Reports, The World Bank Group. [online] 12 Temmuz 2024 tarihinde https://econpapers.repec.org/RePEc: adresinden erişildi.
  • Mousavinasab, E., Zarifsanaiey, N., R. Niakan Kalhori, S., Rakhshan, M., Keikha, L., & Ghazi Saeedi, M. (2021). Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods. Interactive Learning Environments, 29(1), 142-163.
  • Nwana, H. S. (1990). Intelligent tutoring systems: an overview. Artificial Intelligence Review, 4(4), 251-277.
  • Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033.
  • Pelau, C., Ene, I. and Pop, M.I., 2021. The Impact of Artificial Intelligence on Consumers’ Identity and Human Skills. Amfiteatru Economic, [e-journal] 23(56), pp. 33-45. https://doi.org/10.24818/EA/2021/56/33.
  • Pogue, L. L., & AhYun, K. (2006). The effect of teacher nonverbal immediacy and credibility on student motivation and affective learning. Communication education, 55(3), 331-344.
  • Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?. Journal of applied learning and teaching, 6(1), 342-363.
  • Ryan, T., Henderson, M., Ryan, K., & Kennedy, G. (2023). Identifying the components of effective learner-centred feedback information. Teaching in Higher Education, 28(7), 1565-1582.
  • Shah, M. A., & Santandreu Calonge, D. (2019). Frugal MOOCs: an adaptable contextualized approach to MOOC designs for refugees. International review of research in open and distributed learning, 20(5), 1-19.
  • Sowa, K., Przegalinska, A. and Ciechanowski, L., 2021. Cobots in knowledge work-AI collaboration in managerial professions. Journal of Business Research, [e-journal]125, pp. 135-142. https://doi.org/10.1016/j.jbusres.2020.11.038.
  • Sprecher, S. (2014). Initial interactions online-text, online-audio, online-video, or face-to-face: Effects of modality on liking, closeness, and other interpersonal outcomes. Computers in Human Behavior, 31, 190-197.
  • St-Hilaire, F., Vu, D. D., Frau, A., Burns, N., Faraji, F., Potochny, J., ... & Kochmar, E. (2022). A new era: Intelligent tutoring systems will transform online learning for millions. arXiv preprint arXiv:2203.03724.
  • Stokel-Walker, C. (2022). AI bot ChatGPT writes smart essays-should academics worry?. Nature.
  • Sullins, J., Craig, S.D. and Hu, X., 2015. Exploring the effectiveness of a novel feedback mechanism within an intelligent tutoring system. International Journal of Learning Technology, [e-journal]10(3), pp. 220-236. https://doi.org/10.1504/IJLT.2015.072358.
  • Terzopoulos, G., & Satratzemi, M. (2019, September). Voice assistants and artificial intelligence in education. In Proceedings of the 9th Balkan Conference on Informatics (pp. 1-6).
  • Tsai, C.-Y., Marshall, J.D., Choudhury, A., Serban, A., Hou, Y.T.-Y., Jung, M.F., Dionne, S.D. and Yammarino, F.J., 2022. Human-robot collaboration: A multilevel and integrated leadership framework. The Leadership Quarterly, [e-journal] 33(1), article no. 101594. https://doi.org/10.1016/j.leaqua.2021.101594.
  • Türker, O., & Kahraman, A. D. (2024). Artificial intelligence software in the context of educational process. TOJET : The Turkish Online Journal of Educational Technology, 23(1) Retrieved from https://www.proquest.com/scholarly-journals/artificial-intelligence-software-context/docview/2923289690/se-2
  • Ufarte Ruiz, M. J. and Manfredi Sánchez, J. L., 2019. Algorithms and bots applied to journalism. The case of Narrativa Inteligencia Artificial: structure, production and informative quality. Doxa Comunicación, [e-journal] 29, pp. 213-233. https://doi.org/10.31921/doxacom.n29a11.
  • Van Der Niet, A. and Bleakley, A., 2020. Where Medical Education Meets Artificial Intelligence: “Does Technology Care?”. Medical Education, [e-journal] 55(1), article no. 30-36. https://doi.org/10.1111/medu.14131.
  • Villegas-Ch, W., Arias-Navarrete, A., & Palacios-Pacheco, X. (2020). Proposal of an Architecture for the Integration of a Chatbot with Artificial Intelligence in a Smart Campus for the Improvement of Learning. Sustainability, 12(4), 1500.
  • Vittorini, P., Menini, S., & Tonelli, S. (2021). An AI-based system for formative and summative assessment in data science courses. International Journal of Artificial Intelligence in Education, 31(2), 159-185.
  • Wang T, Y., Guo C., Miao H, L, et al. (2021). The current situation of social adaption of left-behind children and its relationship with emotional regulation strategies during COVID-19 epidemic. Journal of Southwest University Natural Science Edition, 43(8), 1-9.
  • Wang, Y.-Y. and Wang, Y.-S., 2019. Development and validation of an artificial intelligence anxiety scale: An initial application in predicting motivated learning behavior. Interactive Learning Environments, [e-journal] 30(4), pp. 619-634. https://doi.org/10.1080/ 10494820.2019. 1674887.
  • Wilcox, H. Cheating Aussie Student Fails Uni Exam after Being Caught Using Artificial Intelligence Chatbot to Write Essay—Now Australia’s Top Universities Are Considering a Bizarre Solution to Stop It Happening Again. DailyMail. 12 Temmuz 2024 tarihinde https://www.dailymail.co.uk/news/article-11688905/UNSW-student-fails-exam-using-OpenAIs-ChatGPT-write-essay.html adresinden erişildi.
  • Wileman, S. (2022). South Staffordshire College. 12 Temmuz 2024 tarihinde https://teachermatic.com/blog/ adresindne erişildi.
  • Wollny, S., Schneider, J., Di Mitri, D., Weidlich, J., Rittberger, M., & Drachsler, H. (2021). Are we there yet?-a systematic literature review on chatbots in education. Frontiers in artificial intelligence, 4, 654924.
  • Xiao, M. and Yi, H., 2020. Building an efficient artificial intelligence model for personalized training in colleges and universities. Computer Applications in Engineering Education, [e-journal] 29(2), pp. 350-358. https://doi.org/10.1002/cae.22235.
  • Xiao, W., Li, M., Chen, M., & Barnawi, A. (2020). Deep interaction: Wearable robot-assisted emotion communication for enhancing perception and expression ability of children with Autism Spectrum Disorders. Future Generation Computer Systems, 108, 709-716.
  • Yam, K.C., Goh, E.-Y., Fehr, R., Lee, R., Soh, H. and Gray, K., 2022. When your boss is a robot: Workers are more spiteful to robot supervisors that seem more human. Journal of Experimental Social Psychology, [e-journal] https://doi.org/10.1016/j.jesp.2022.104360.
Toplam 85 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sosyoloji (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Okan Koç Bu kişi benim

Yayımlanma Tarihi 31 Aralık 2024
Gönderilme Tarihi 9 Eylül 2024
Kabul Tarihi 12 Kasım 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 8 Sayı: 3

Kaynak Göster

APA Koç, O. (2024). SOSYAL BİLİMLER EĞİTİMİNDE YAPAY ZEKA. International Journal of Social And Humanities Sciences, 8(3), 51-80.
AMA Koç O. SOSYAL BİLİMLER EĞİTİMİNDE YAPAY ZEKA. IJSHS. Aralık 2024;8(3):51-80.
Chicago Koç, Okan. “SOSYAL BİLİMLER EĞİTİMİNDE YAPAY ZEKA”. International Journal of Social And Humanities Sciences 8, sy. 3 (Aralık 2024): 51-80.
EndNote Koç O (01 Aralık 2024) SOSYAL BİLİMLER EĞİTİMİNDE YAPAY ZEKA. International Journal of Social And Humanities Sciences 8 3 51–80.
IEEE O. Koç, “SOSYAL BİLİMLER EĞİTİMİNDE YAPAY ZEKA”, IJSHS, c. 8, sy. 3, ss. 51–80, 2024.
ISNAD Koç, Okan. “SOSYAL BİLİMLER EĞİTİMİNDE YAPAY ZEKA”. International Journal of Social And Humanities Sciences 8/3 (Aralık 2024), 51-80.
JAMA Koç O. SOSYAL BİLİMLER EĞİTİMİNDE YAPAY ZEKA. IJSHS. 2024;8:51–80.
MLA Koç, Okan. “SOSYAL BİLİMLER EĞİTİMİNDE YAPAY ZEKA”. International Journal of Social And Humanities Sciences, c. 8, sy. 3, 2024, ss. 51-80.
Vancouver Koç O. SOSYAL BİLİMLER EĞİTİMİNDE YAPAY ZEKA. IJSHS. 2024;8(3):51-80.