Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/12008
Назва: Methodological foundations of teaching the basics of artificial intelligence to lyceum students
Автори: Tarasova, Olena Yu.
Doroshko, Vladyslav S.
Тарасова, Олена Юріївна
Дорошко, Владислав Станіславович
Ключові слова: artificial intelligence education
curriculum development
teaching methodology
web quest
interactive learning
educational technology
освіта зі штучного інтелекту
розробка навчальних програм
методологія викладання
вебквест
інтерактивне навчання
освітні технології
Дата публікації: 2025
Видавництво: CEUR Workshop Proceedings
Бібліографічний опис: Tarasova O. Yu., Doroshko V. S. Methodological foundations of teaching the basics of artificial intelligence to lyceum students. CEUR Workshop Proceedings. 2025. Vol. 3918. Pp. 240–249.
Короткий огляд (реферат): Integrating artificial intelligence (AI) into secondary education is crucial in preparing students for an AI-driven world. This study develops and validates a methodological framework for implementing AI education in Ukrainian lyceums. Key contributions include an analysis of existing textbooks, a review of international practices, and the creation of a three-part web quest complex combining theoretical and practical learning. Validated through expert review and pilot testing, the framework enhances student engagement and understanding of AI concepts. The paper provides practical guidelines for educators, emphasizing interactive, project-based learning and the need for robust teacher support.
Опис: [1] R. Williams, S. P. Kaputsos, C. Breazeal, Teacher Perspectives on How To Train Your Robot A Middle School AI and Ethics Curriculum, in: 35th AAAI Conference on Artificial Intelligence, AAAI 2021, volume 17B, Association for the Advancement of Artificial Intelligence, 2021, pp. 15678–15686. doi:10.1609/aaai.v35i17.17847. [2] N. Sinha, R. F. Evans, M. Carbo, Hands-on Active Learning Approach to Teach Artificial Intelligence/Machine Learning to Elementary and Middle School Students, in: 32nd Wireless and Optical Communications Conference, WOCC 2023, Institute of Electrical and Electronics Engineers Inc., 2023. doi:10.1109/WOCC58016.2023.10139678. [3] S. Jha, S. Singh, How Do Senior Secondary Level Students and Their Teachers Perceive Artificial Intelligence and Its Implementation? An Exploratory Study, in: H. K, R. V. Rodriguez, M. Rege, V. Piuri, G. Xu, K.-L. Ong (Eds.), Artificial Intelligence and Knowledge Processing, volume 2127 of Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2024, pp. 30–43. doi:10.1007/978-3-031-68617-7_3. [4] P. Asunda, M. Faezipour, J. Tolemy, M. T. Do Engel, Embracing Computational Thinking as an Impetus for Artificial Intelligence in Integrated STEM Disciplines through Engineering and Technology Education, Journal of Technology Education 34 (2023) 43–63. doi:10.21061/jte.v34i2.a.3. [5] X. Huang, C. Qiao, Enhancing Computational Thinking Skills Through Artificial Intelligence Education at a STEAM High School, Science and Education 33 (2024) 383–403. doi:10.1007/s11191-022-00392-6. [6] M. V. Marienko, S. O. Semerikov, O. M. Markova, Artificial intelligence literacy in secondary education: methodological approaches and challenges, CEUR Workshop Proceedings 3679 (2024) 87–97. [7] I. Mintii, S. Semerikov, Optimizing Teacher Training and Retraining for the Age of AI-Powered Personalized Learning: A Bibliometric Analysis, in: E. Faure, Y. Tryus, T. Vartiainen, O. Danchenko, M. Bondarenko, C. Bazilo, G. Zaspa (Eds.), Information Technology for Education, Science, and Technics, volume 222 of Lecture Notes on Data Engineering and Communications Technologies, Springer Nature Switzerland, Cham, 2024, pp. 339–357. doi:10.1007/978-3-031-71804-5_23. [8] Z. Tkacova, L. Snajder, J. Gunis, Artificial intelligence - A new topic in computer science curriculum at primary and secondary schools: Challenges, opportunities, tools and approaches, in: M. Koricic, K. Skala, Z. Car, M. Cicin-Sain, V. Sruk, D. Skvorc, S. Ribaric, B. Jerbic, S. Gros, B. Vrdoljak, M. Mauher, E. Tijan, T. Katulic, P. Pale, T. G. Grbac, N. F. Fijan, A. Boukalov, D. Cisic, V. Gradisnik (Eds.), 2020 43rd International Convention on Information, Communication and Electronic Technology, MIPRO 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 747–749. doi:10.23919/MIPRO48935.2020.9245429. [9] D. Lee, J.-Y. Hwang, Y. Lee, S.-W. Kim, Informatics and Artificial Intelligence (AI) Education in Korea: Situation Analysis Using the Darmstadt Model, International Journal on Informatics Visualization 6 (2022) 427–444. doi:10.30630/joiv.6.2.1000. [10] S. Opel, M. Schlichtig, C. Schulte, Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress), in: Proceedings of the 14th Workshop in Primary and Secondary Computing Education, WiPSCE '19, Association for Computing Machinery, New York, NY, USA, 2019. doi:10.1145/3361721.3362109. [11] J. Henry, A. Hernalesteen, A.-S. Collard, Teaching Artificial Intelligence to K-12 Through a RolePlaying Game Questioning the Intelligence Concept, KI - Kunstliche Intelligenz 35 (2021) 171–179. doi:10.1007/s13218-021-00733-7. [12] I. H. Yue Yim, A critical review of teaching and learning artificial intelligence (AI) literacy: Developing an intelligence-based AI literacy framework for primary school education, Computers and Education: Artificial Intelligence 7 (2024) 100319. doi:10.1016/j.caeai.2024.100319. [13] D. Touretzky, C. Gardner-McCune, C. Breazeal, F. Martin, D. Seehorn, A year in k–12 ai education, AI Magazine 40 (2019) 88–90. URL: https://doi.org/10.1609/aimag.v40i4.5289. doi:10.1609/aimag.v40i4.5289. [14] A. Lindner, S. Seegerer, R. Romeike, Unplugged Activities in the Context of AI, in: S. N. Pozdniakov, V. Dagiene (Eds.), Informatics in Schools. New Ideas in School Informatics, volume 11913 of Lecture Notes in Computer Science, Springer International Publishing, Cham, 2019, pp. 123–135. doi:10.1007/978-3-030-33759-9_10. [15] Y. Dai, A. Liu, J. Qin, Y. Guo, M. S.-Y. Jong, C.-S. Chai, Z. Lin, Collaborative construction of artificial intelligence curriculum in primary schools, Journal of Engineering Education 112 (2023) 23–42. doi:10.1002/jee.20503. [16] E. Breck, D. Easleyt, K.-Y. D. Fan, J. Kleinberg, L. Lee, J. Wofford, R. Zabih, A New Start: Innovative Introductory AI-Centered Courses at Cornell, in: AAAI Spring Symposium - Technical Report, volume SS-08-08, 2008, pp. 8–13. URL: https://aaai.org/papers/0003-ss08-08-003-a-new-start-innovative-introductory-ai-centered-courses-at-cornell/. [17] A. Sperling, D. Lickerman, Integrating AI and machine learning in software engineering course for high school students, in: Proceedings of the 17th ACM Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE '12, Association for Computing Machinery, New York, NY, USA, 2012, p. 244–249. doi:10.1145/2325296.2325354. [18] I. Lee, H. Zhang, K. Moore, X. Zhou, B. Perret, Y. Cheng, R. Zheng, G. Pu, AI Book Club: An Innovative Professional Development Model for AI Education, in: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 1, SIGCSE 2022, Association for Computing Machinery, New York, NY, USA, 2022, p. 202–208. doi:10.1145/3478431.3499318. [19] V. Olari, T. Zoppke, M. Reger, E. Samoilova, M. Kandlhofer, V. Dagiene, R. Romeike, A. S. Lieckfeld, U. Lucke, Introduction of Artificial Intelligence Literacy and Data Literacy in Computer Science Teacher Education, in: Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, Koli Calling '23, Association for Computing Machinery, New York, NY, USA, 2024. doi:10.1145/3631802.3631851. [20] K. Kim, K. Kwon, Exploring the AI competencies of elementary school teachers in South Korea, Computers and Education: Artificial Intelligence 4 (2023) 100137. doi:10.1016/j.caeai.2023.100137. [21] L. Alvarez, I. Gransbury, V. Cateté, T. Barnes, Á. Lédeczi, S. Grover, A Socially Relevant Focused AI Curriculum Designed for Female High School Students, Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022) 12698–12705. doi:10.1609/aaai.v36i11.21546. [22] K. Krippendorff, Content Analysis: An Introduction to Its Methodology, 3rd ed., SAGE Publications, Thousand Oaks, CA, 2013. URL: https://www.daneshnamehicsa.ir/userfiles/files/1/9-%20Content%20Analysis_%20An%20Introduction%20to%20Its%20Methodology.pdf. [23] R. M. Gagné, L. J. Briggs, W. W. Wager, Principles of Instructional Design, 4th ed., Holt, Rinehart and Winston, Fort Worth, TX, 1992. URL: https://www.hcs64.com/files/Principles%20of%20instructional%20design.pdf. [24] R. W. Bybee, The BSCS 5E Instructional Model: Creating Teachable Moments, NSTA Press, Arlington, Virginia, 2015. [25] V. Braun, V. Clarke, Using Thematic Analysis in Psychology, Qualitative Research in Psychology 3 (2006) 77–101. doi:10.1191/1478088706qp063oa. [26] P. V. Zahorodko, S. O. Semerikov, V. N. Soloviev, A. M. Striuk, M. I. Striuk, H. M. Shalatska, Comparisons of performance between quantum-enhanced and classical machine learning algorithms on the IBM Quantum Experience, Journal of Physics: Conference Series 1840 (2021) 012021. doi:10.1088/1742-6596/1840/1/012021. [27] S. Semerikov, H. Kucherova, V. Los, D. Ocheretin, Neural network analytics and forecasting the country's business climate in conditions of the coronavirus disease (COVID-19), CEUR Workshop Proceedings 2845 (2021) 22–32. [28] R. Liashenko, S. Semerikov, The Determination and Visualisation of Key Concepts Related to the Training of Chatbots, in: E. Faure, Y. Tryus, T. Vartiainen, O. Danchenko, M. Bondarenko, C. Bazilo, G. Zaspa (Eds.), Information Technology for Education, Science, and Technics, volume 222 of Lecture Notes on Data Engineering and Communications Technologies, Springer Nature Switzerland, Cham, 2024, pp. 111–126. doi:10.1007/978-3-031-71804-5_8. [29] O. O. Bondarenko, V. V. Lastovetskyi, O. P. Pylypchuk, Y. A. Shestopalov, Informatyka (riven standartu): pidruch. dlia 10(11) kl. zakl. zahal. sered. osvity, Ranok, Kharkiv, 2019. [30] N. V. Morze, O. V. Barna, Informatyka (riven standartu): pidruch. dlia 10 (11) kl. zakl. zahal. sered. osvity, Orion, Kyiv, 2018. [31] Y. Y. Ryvkind, T. I. Lysenko, L. A. Chernikova, V. V. Shakotko, Informatyka (riven standartu): pidruch. dlia 10-ho (11-ho) kl. zakl. zah. sered. osvity, Heneza, Kyiv, 2018. [32] V. D. Rudenko, N. V. Rechych, V. O. Potiienko, Informatyka (profilnyi riven): pidruch. dlia 10 kl.zakl. zahal. sered. osvity, Ranok, Kharkiv, 2018. [33] V. D. Rudenko, N. V. Rechych, V. O. Potiienko, Informatyka (riven standartu) : pidruch. dlia 10 (11) kl. zakl. zahal. sered. osvity, Ranok, Kharkiv, 2018. [34] I. T. Sanusi, S. A. Olaleye, An Insight into Cultural Competence and Ethics in K-12 Artificial Intelligence Education, in: J. M., K. I., A. A. (Eds.), IEEE Global Engineering Education Conference, EDUCON, volume 2022-March, IEEE Computer Society, 2022, pp. 790–794. doi:10.1109/EDUCON52537.2022.9766818. [35] V. S. Doroshko, WebQuest, 2024. URL: http://iesxces.wixsite.com/my-site. [36] S. O. Semerikov, T. A. Vakaliuk, I. S. Mintii, V. A. Hamaniuk, V. N. Soloviev, O. V. Bondarenko, P. P. Nechypurenko, S. V. Shokaliuk, N. V. Moiseienko, V. R. Ruban, Mask and Emotion: Computer Vision in the Age of COVID-19, in: Digital Humanities Workshop, DHW 2021, Association for Computing Machinery, New York, NY, USA, 2022, p. 103–124. doi:10.1145/3526242.3526263. [37] R. O. Tarasenko, S. M. Amelina, S. O. Semerikov, V. D. Shynkaruk, Using interactive semantic networks as an augmented reality element in autonomous learning, Journal of Physics: Conference Series 1946 (2021) 012023. doi:10.1088/1742-6596/1946/1/012023. [38] S. Papadakis, A. E. Kiv, H. M. Kravtsov, V. V. Osadchyi, M. V. Marienko, O. P. Pinchuk, M. P. Shyshkina, O. M. Sokolyuk, I. S. Mintii, T. A. Vakaliuk, A. M. Striuk, S. O. Semerikov, Revolutionizing education: using computer simulation and cloud-based smart technology to facilitate successful open learning, CEUR Workshop Proceedings 3358 (2023) 1–18. [39] S. J. Papadakis, S. O. Semerikov, Y. V. Yechkalo, V. Y. Velychko, T. A. Vakaliuk, S. M. Amelina, A. V. Iatsyshyn, M. V. Marienko, S. M. Hryshchenko, V. V. Tkachuk, Advancing lifelong learning and professional development through ICT: insights from the 3L-Person 2023 workshop, CEUR Workshop Proceedings 3535 (2023) 1–16. [40] L. Fadieieva, S. Semerikov, Exploring the Interplay of Moodle Tools and Student Learning Outcomes: A Composite-Based Structural Equation Modelling Approach, in: E. Faure, Y. Tryus, T. Vartiainen, O. Danchenko, M. Bondarenko, C. Bazilo, G. Zaspa (Eds.), Information Technology for Education, Science, and Technics, volume 222 of Lecture Notes on Data Engineering and Communications Technologies, Springer Nature Switzerland, Cham, 2024, pp. 418–435. doi:10.1007/978-3-031-71804-5_28. [41] A. Ezzaim, A. Dahbi, A. Haidine, A. Aqqal, The Impact of Implementing a Moodle Plug-in as an AI-based Adaptive Learning Solution on Learning Effectiveness: Case of Morocco, International Journal of Interactive Mobile Technologies 18 (2024) 133–149. doi:10.3991/ijim.v18i01.46309.
URI (Уніфікований ідентифікатор ресурсу): http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/12008
Розташовується у зібраннях:Кафедра інформатики та прикладної математики

Файли цього матеріалу:
Файл Опис РозмірФормат 
paper184.pdf1.05 MBAdobe PDFПереглянути/Відкрити


Усі матеріали в архіві електронних ресурсів захищені авторським правом, всі права збережені.