INFORMAZIONI SU QUESTO ARTICOLO

Cita

Agbo, F. J., Oyelere, S. S., Suhonen, J., & Tukiainen, M. (2019). Identifying potential design features of a smart learning environment for programming education in Nigeria. International Journal of Learning Technology, 14(4), 331–354. http://dx.doi.org/10.1504/IJLT.2019.10655110.1504/IJLT.2019.106551 Search in Google Scholar

Basalin, P. D., Timofeev, A. E., Kumagina, E. A., Neimark, E. A., Fomina, I. A., & Chernyshov, N. N. (2018). Implementation of a hybrid intellectual production-type learning environment. Modern Information Technologies and IT Education, 1(14), 256–267. Search in Google Scholar

Bershadsky, A. M., Bozhday, A. S., & Mkrtchyan, V. S. (2016). Principles of building a generally available self-adapting distance learning system based on the model of variability and service-oriented architecture. Information Technologies, 2(22), 146–153. Search in Google Scholar

Bonner, D., Walton J., Dorneich, M. C., Gilbert, S. B., Winer, E., & Sottilare, R. A. (2015). The development of a testbed to assess an intelligent tutoring system for teams. In 17th International Conference on Artificial Intelligence in Education, AIEDWS 2015; CEUR Workshop Proceedings. Search in Google Scholar

Cheng, X., Jianshan Sun, J., & Zarifis, A. (2020). Artificial intelligence and deep learning in educational technology research and practice. British Journal of Educational Technology, 51(5), 1653–1656. https://doi.org/10.1111/bjet.1301810.1111/bjet.13018 Search in Google Scholar

Dobrovolskaya, N. Yu. (2009). Individualization of learning by neural network technologies. Informatics and Education, 4, 16–18. Search in Google Scholar

Fedosejeva, J., Boče, A., Romanova, M., Iliško, D., & Ivanova, O. (2018). Education for sustainable development: The choice of pedagogical approaches and methods for the implementation of pedagogical tasks in the Anthropocene age. Journal of Teacher Education for Sustainability, 20(1), 157–179. https://doi.org/10.2478/jtes-2018-001010.2478/jtes-2018-0010 Search in Google Scholar

Hwang, G. J. (2014). Definition, framework and research issues of smart learning environ-ments-a context-aware ubiquitous learning perspective. Smart Learning Environments, 1(1), 4. https://doi.org/10.1186/s40561-014-0004-510.1186/s40561-014-0004-5 Search in Google Scholar

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education. Promises and implications for teaching and learning. The Center for Curriculum Redesign.10.1007/978-3-319-60013-0_107-1 Search in Google Scholar

Ishii, K., & Tamaki, K. (2009). Automation in education/learning systems. In Nof (Ed.), Springer Handbook of Automation (pp. 1503–1528). Springer.10.1007/978-3-540-78831-7_85 Search in Google Scholar

Jurgena, I., Cēdere, D., & Keviša, I. (2018). The prospects of transdisciplinary approach to promote learners’ cognitive interest in natural science for sustainable development. Journal of Teacher Education for Sustainability, 20(1), 5–19. https://doi.org/10.2478/jtes-2018-000110.2478/jtes-2018-0001 Search in Google Scholar

Kapenieks, J. (2016). Educational action research to achieve the essential competencies of the future. Journal of Teacher Education for Sustainability, 18(1), 95–110. https://doi.org/10.1515/jtes-2016-000810.1515/jtes-2016-0008 Search in Google Scholar

Kapenieks, J., & Kapenieks, J. (2020). Spaced E-learning for sustainable education. Journal of Teacher Education for Sustainability, 22(2), 49–65. https://doi.org/10.2478/jtes-2020-001610.2478/jtes-2020-0016 Search in Google Scholar

Klašnja-Milićević, A., Vesin, B., Ivanović, M., Budimac, Z., & Jain, L. C. (2017). Design and implementation of general tutoring system model. In E-Learning Systems. Intelligent Systems Reference Library (vol. 112, p. 294). Springer.10.1007/978-3-319-41163-7_9 Search in Google Scholar

Kureichik, V. V., & Bova, V. V. (2014). Modeling the process of knowledge representation in intelligent learning systems based on the competence-based approach. Open Education, 3(104), 42–48. https://doi.org/10.21686/1818-4243-2014-3(104-42-48 Search in Google Scholar

Loshkareva, E., Luksha, P., Ninenko, I., Smagin, I., & Sudakov, D. (2017). Skills of the future. What you need to know and be able to do in a new complex world. The Boston Consulting Group (BCG). Report “Russia 2025: From Personnel to Talents” (pp. 8–68). Search in Google Scholar

Michalski, R. S. (1987). Learning strategies and automated knowledge acquisition. Computational models of learning. Symbolic computation (Artificial intelligence). Springer.10.1007/978-3-642-82742-6_1 Search in Google Scholar

Mirke, E., Cakula, S., & Tzivian, L. (2019). Measuring teachers-as-learners’ digital skills and readiness to study online for successful E-learning experience. Journal of Teacher Education for Sustainability, 21(2), 5–16. https://doi.org/10.2478/jtes-2019-001310.2478/jtes-2019-0013 Search in Google Scholar

Ostroukh, A. V. (2015). Intelligent systems. Research and Innovation Center. Search in Google Scholar

Pear, J. J., & Novak, M. (1996). Computer-aided personalized system of instruction: A program evaluation. Teaching of Psychology, 23(2), 119–123. https://doi.org/10.1207/s15328023top2302_1410.1207/s15328023top2302_14 Search in Google Scholar

Popova, B. Yu., & Burakovsky, A. I. (2016). Knowledge representation in learning systems based on fuzzy set theory. System Analysis and Applied Informatics, 2, 58–65. Search in Google Scholar

Rekalde-Rodríguez, I., Gil-Molina, P., & Cruz-Iglesias, E. The IraunIK and IraunIR questionnaires: Assessment of transversal competencies for sustainability. Journal of Teacher Education for Sustainability, 23(1), 22–40. https://doi.org/10.2478/jtes-2021-000310.2478/jtes-2021-0003 Search in Google Scholar

Robert, I. V., & Lavina, T. A. (2012). Explanatory dictionary of terms of the conceptual apparatus of informatization of education. BINOM: Laboratory of Knowledge. Search in Google Scholar

Rybina, G. V. (2014). Intelligent systems: From A to I. Series of monographs in 3 books: Book 1. Knowledge-based systems. Integrated expert systems. Nauchtekhlitizdat. Search in Google Scholar

Salīte, I., Fjodorova, I., Meihami, H., Ivanova, O., Iliško, D., & Gholami, J. (2019). JTES approaches to sustainability: Current practices and new perspectives for a more sustainable world. Journal of Teacher Education for Sustainability, 21(2), 1–4. https://doi.org/10.2478/jtes-2019-001210.2478/jtes-2019-0012 Search in Google Scholar

Salīte, I., Fjodorova, I., & Ivanova, O. (2020). Does the JTES help us create deeper personal meanings for sustainable education? Journal of Teacher Education for Sustainability, 22(2), 1–6. https://doi.org/10.2478/jtes-2020-001210.2478/jtes-2020-0012 Search in Google Scholar

Sinatra, A. M., Graesser, A. C., Hu, X., Goldberg, B. G., & Hampton, A. J. (2020). Design recommendations for intelligent tutoring systems (Vol. 8). Data visualization. Search in Google Scholar

Shute, V., & Zapata-Rivera, D. (2012). Adaptive educational systems. In P. Durlach & A. Lesgold (Eds.), Adaptive technologies for training and education (pp. 7–27). Cambridge University Press.10.1017/CBO9781139049580.004 Search in Google Scholar

Smirnov, E. I., Tikhomirov, S. A., & Dvoryatkina, S. N. (2020). Self-organization technology of student’s mathematical activities based on intelligent management. Perspectives of Science and Education, 45(3), 77–86.10.32744/pse.2020.3.6 Search in Google Scholar

Smirnov, E. I., Dvoryatkina, S. N., & Shcherbatykh, S. V. (2021). Technological stages of Schwartz cylinder’s computer and mathematics design using intelligent system support. Advances in Science, Technology and Engineering Systems Journal, 1(6), 447–456.10.25046/aj060148 Search in Google Scholar

Tikhomirov, V., Dneprovskaya, N., & Yankovskaya, E. (2015). Three dimensions of smart education. In V. L. Uskov, R. Howlett, & L. Jain (Eds.), Smart education and smart e-learning. Smart innovation, systems and technologies (pp. 47–56). Springer.10.1007/978-3-319-19875-0_5 Search in Google Scholar

Vasiljeva, M., Ponkratov, V., Volkova, T., Khairova, S., Nikitina, N., Dudnik, O., Alimova, M., Kuznetsov, N., & Elyakova, I. (2020). The development of scientific activity in Russian universities. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 110. https://doi.org/10.3390/joitmc604011010.3390/joitmc6040110 Search in Google Scholar

Wang, H., Ming, Z., Zhang, M., He, J., Cheng, L., & Qian, Z. (2020). The research status and hotspots in the domain of smart learning in China from 2012–2019. IOP Conference Series: Materials Science and Engineering. Search in Google Scholar

Wilson, C., & Scott, B. (2017). Adaptive systems in education: A review and conceptual unification. The International Journal of Information and Learning Technology, 34(1), 2–19.10.1108/IJILT-09-2016-0040 Search in Google Scholar

eISSN:
1691-5534
Lingua:
Inglese
Frequenza di pubblicazione:
2 volte all'anno
Argomenti della rivista:
Social Sciences, Education, other