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Eurasian Society of Educational Research
Eurasian Society of Educational Research
Christiaan Huygensstraat 44, Zipcode:7533XB, Enschede, THE NETHERLANDS
Eurasian Society of Educational Research
Headquarters
Christiaan Huygensstraat 44, Zipcode:7533XB, Enschede, THE NETHERLANDS
Review Article

How Is the Insight Overview of Artificial Intelligence Research in High School?

Widayanti , Haryanto , Edi Istiyono , Antomi Saregar , Khusnatul Amaliah

The world is looking forward to advancements in artificial intelligence (AI) technology, with significant research underway regarding the application .


  • Pub. date: October 15, 2024
  • Online Pub. date: September 20, 2024
  • Pages: 1917-1930
  • 114 Downloads
  • 302 Views
  • 0 Citations
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The world is looking forward to advancements in artificial intelligence (AI) technology, with significant research underway regarding the application of AI in education. This study analyzed publications on the potential of AI in secondary schools, focusing on its bibliometric aspects. Data from the Scopus database revealed 1,764 publications from 2019 to 2024. The analysis showed a steady annual growth in publications in this area. China and the USA were the leaders in the number of publications. Xiaoyue Wang was the most prolific researcher, having authored 71 AI-related articles. Yueying Li, Xiaoxu Chen, Yanzhu Zhang, and Yi Liu contributed to the field with 56, 55, 53, and 51 articles, respectively. The themes that emerged from 2019 to 2022 are related to media, application, study, institutions, artificial, digital, learning, factors, development, technologies, medical, automated, perception, support, and sustainability. From 2023 to 2024, the topics discussed in AI are related to students, education, perception, algorithms, digital, prediction, networks, challenges, writing, teachers, AI-powered, curriculum, century, integration, technology, and framework. The difference in research in 2019-2022 and 2023-2024 is focusing the theme's focus from the general to the specific. The co-occurrence analysis revealed that prominent keywords appeared in 3 clusters. Cluster 1 is the most popular in recent times. It deals with the application, assessment, and management of AI. Cluster 2 relates to AI relationships and models, while Cluster 3 relates to AI data sources.

Keywords: Artificial intelligence, bibliometric, high school, insight overview.

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References

Abuzaid, M. M., Elshami, W., McConnell, J., & Tekin, H. O. (2021). An extensive survey of radiographers from the Middle East and India on artificial intelligence integration in radiology practice. Health and Technology, 11, 1045-1050. https://doi.org/10.1007/s12553-021-00583-1

Ahmed, A., Aziz, S., Qidwai, U., Farooq, F., Shan, J., Subramanian, M., Chouchane, L., EINatour, R., Abd-Alrazaq, A., Pandas, S., & Sheikh, J. (2023). Wearable artificial intelligence for assessing physical activity in high school children. Sustainability, 15(1), Article 638. https://doi.org/10.3390/su15010638

Aler Tubella, A., Mora-Cantallops, M., & Nieves, J. C. (2024). How to teach responsible AI in higher education: Challenges and opportunities. Ethics and Information Technology, 26, Article 3.  https://doi.org/10.1007/s10676-023-09733-7

Aljuzayri, Z. H. B., Pleasants, B., & Horvitz, B. (2017). High school science teachers’ confidence with classroom technology integration. Journal on School Educational Technology, 13(1), 21-32. https://doi.org/10.26634/jsch.13.1.13699

Al Ka’bi, A. (2023). Proposed artificial intelligence algorithm and deep learning techniques for development of higher education. International Journal of Intelligent Networks, 4, 68-73. https://doi.org/10.1016/j.ijin.2023.03.002

AL-Malaise AL-Ghamdi, A. S., Ragab, M., Sabir, M. F. S., Elhassanein, A., & Gouda, A. A. (2022). Optimized Artificial neural network techniques to improve cybersecurity of higher education institution. Computers, Materials and Continua, 72(2), 3385-3399. https://doi.org/10.32604/cmc.2022.026477

Alnaqbi, A. M. A., & Md Yassin, A. (2021). Current status, challenges and strategies of artificial intelligence and e-learning the UAE military education system. International Journal of Sustainable Construction Engineering and Technology, 12(3), 352-361. https://doi.org/10.30880/ijscet.2021.12.03.034

Ameliasari, P., & Wilujeng, I. (2023). Problem solving ability of junior high school students through the application of problem based learning model on simple aircraft material seen from gender differences. Jurnal Penelitian Pendidikan IPA, 9(6), 4566-4571. https://bit.ly/3XMsPEn

Aydınlar, A., Mavi, A., Kütükçü, E., Kırımlı, E. E., Alış, D., Akın, A., & Altıntaş, L. (2024). Awareness and level of digital literacy among students receiving health-based education. BMC Medical Education, 24, Article 38. https://doi.org/10.1186/s12909-024-05025-w

Bellas, F., Guerreiro-Santalla, S., Naya, M., & Duro, R. J. (2023). AI curriculum for European high schools: An embedded intelligence approach. International Journal of Artificial Intelligence in Education, 33, 399-426. https://doi.org/10.1007/s40593-022-00315-0

Boobier, T. (2018). Advanced analytics and AI: Impact, implementation, and the future of work. John Wiley & Sons.

De Souza, M. G., Won, M., Treagust, D., & Serrano, A. (2024). Visualising relativity: Assessing high school students’ understanding of complex physics concepts through AI-generated images. Physics Education, 59(2), Article 025018. https://doi.org/10.1088/1361-6552/ad1e71

Ellerton, P., & Kelly, R. (2021). Creativity and critical thinking. In A. Berry, C. Buntting, D. Corrigan, R. Gunstone, & A. Jones (Eds.), Education in the 21st Century (pp. 9-27). Springer. https://doi.org/10.1007/978-3-030-85300-6_2

Guleria, D., & Kaur, G. (2021). Bibliometric analysis of ecopreneurship using VOSviewer and RStudio Bibliometrix, 1989-2019. Library Hi Tech, 39(4), 1001-1024. https://doi.org/10.1108/LHT-09-2020-0218

Hwang, G.-J., & Tu, Y.-F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9(6), Article 584. https://doi.org/10.3390/math9060584

Jovic, M., & Mnasri, S. (2024). Evaluating AI-generated emails: A comparative efficiency analysis. World Journal of English Language, 14(2), 502-517. https://doi.org/10.5430/wjel.v14n2p502

Kavitha, K., Joshith, V. P., Rajeev, N. P., & S, A. (2024). Artificial intelligence in higher education: A bibliometric approach. European Journal of Educational Research, 13(3), 1121-1137. https://doi.org/10.12973/eu-jer.13.3.1121

Lee, V. R., Pope, D., Miles, S., & Zárate, R. C. (2024). Cheating in the age of generative AI: A high school survey study of cheating behaviors before and after the release of ChatGPT. Computers and Education: Artificial Intelligence, 7, Article 100253. https://doi.org/10.1016/j.caeai.2024.100253

Liu, Z., Vobolevich, A., & Oparin, A. (2023). The influence of AI ChatGPT on improving teachers’ creative thinking. International Journal of Learning, Teaching and Educational Research, 22(12), 124-139. https://doi.org/10.26803/ijlter.22.12.7

Lu, W.-Y., & Fan, S.-C. (2023). Developing a weather prediction project-based machine learning course in facilitating AI learning among high school students. Computers and Education: Artificial Intelligence, 5, Article 100154. https://doi.org/10.1016/j.caeai.2023.100154

Maphosa, V., & Maphosa, M. (2023). Artificial intelligence in higher education: A bibliometric analysis and topic modeling approach. Applied Artificial Intelligence, 37(1), Article 2261730. https://doi.org/10.1080/08839514.2023.2261730

Mu, X., Lim, B., Seth, I., Xie, Y., Cevik, J., Sofiadellis, F., Hunter‐Smith, D. J., & Rozen, W. M. (2024). Comparison of large language models in management advice for melanoma: Google’s AI BARD, BingAI and ChatGPT. Skin Health and Disease, 4(1), Article e313. https://doi.org/10.1002/ski2.313

Nikolic, S., Daniel, S., Haque, R., Belkina, M., Hassan, G. M., Grundy, S., Lyden, S., Neal, P., & Sandison, C. (2023). ChatGPT versus engineering education assessment: A multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity. European Journal of Engineering Education, 48(4), 559-614. https://doi.org/10.1080/03043797.2023.2213169

Nur’aeni, R., & Zalsahra, R. (2024). Bibliometric analysis of artificial intelligence. West Science Interdisciplinary Studies, 2(01), 119-128. https://doi.org/10.58812/wsis.v2i01.563

O’Leary, D. E. (2023). An analysis of Watson vs. BARD vs. ChatGPT: The Jeopardy! Challenge. AI Magazine, 44(3), 282-295. https://doi.org/10.1002/aaai.12118

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71

Sánchez-Ruiz, L. M., Moll-López, S., Nuñez-Pérez, A., Moraño-Fernández, J. A., & Vega-Fleitas, E. (2023). ChatGPT challenges blended learning methodologies in engineering education: A case study in mathematics. Applied Sciences, 13(10), Article 6069. https://doi.org/10.3390/app13106039

Stengel, F. C., Stienen, M. N., Ivanov, M., Gandía-González, M. L., Raffa, G., Ganau, M., Whitfield, P., & Motov, S. (2024). Can AI pass the written European board examination in neurological surgery? - Ethical and practical issues. Brain and Spine, 4, Article 102765. https://doi.org/10.1016/j.bas.2024.102765

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10, Article 15. https://doi.org/10.1186/s40561-023-00237-x

Triansyah, F. A., Muhammad, I., Rabuandika, A., Siregar, K. D. P., Teapon, N., & Assabana, M. S. (2023). Bibliometric analysis: Artificial intelligence (AI) in high school education. Jurnal Imiah Pendidikan Dan Pembelajaran, 7(1), 112-123. https://doi.org/10.23887/jipp.v7i1.59718

Van den Berg, G., & du Plessis, E. (2023). ChatGPT and generative AI: Possibilities for its contribution to lesson planning, critical thinking and openness in teacher education. Education Sciences, 13(10), Article 998. https://doi.org/10.3390/educsci13100998

Xie, T. (2024). A method for identifying abnormal financial products in e-business based on deep learning. Computer-Aided Design and Applications, 21(S1), 1-13. https://doi.org/10.14733/cadaps.2024.S1.146-160

Zaky, Y. A. M. (2023). Chatbot positive design to facilitate referencing skills and improve digital well-being. International Journal of Interactive Mobile Technologies, 17(9), 106-126. https://doi.org/10.3991/ijim.v17i09.38395

Zou, M., & Huang, L. (2023). To use or not to use? Understanding doctoral students’ acceptance of ChatGPT in writing through technology acceptance model. Frontiers in Psychology, 14, Article 1259531. https://doi.org/10.3389/fpsyg.2023.1259531

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