Page 318 - Izobraževanje v dobi generativne umetne inteligence
P. 318

Alenka Žerovnik

                  Aghaziarati, A., Nejatifar, S., in Abedi, A. (2023). Artificial intelligence in education:
                      Investigating teacher attitudes. AI and Tech in Behavioral and Social Sciences, 1(1),
                      35–42. 
                  Al Ali, R. (2024). Opportunities and challenges of integrating generative artificial intel-
                      ligence in education. International Journal of Religion, 5(7), 784–793.
                  Alshehri, B. (2023). Pedagogical paradigms in the AI era: Insights from saudi educators
                      on the long-term implications of ai integration in classroom teaching. Interna-
                      tional Journal of Educational Sciences and Arts, 2(8), 159–180.
                  Andrade-Girón, D., Marín-Rodriguez, W., Sandivar-Rosas, J., Carreño-Cisneros, E., Su-
                      sanibar-Ramirez, E., Zúñiga-Rojas, M., Ángeles-Morales, J., in Villarreal-Torres, H.
                      (2024). Generative artificial intelligence in higher education learning: A review
                      based on academic databases. Iberoamerican Journal of Science Measurement
                      and Communication, 4(1). https://doi.org/10.47909/ijsmc.101
                  Bahroun, Z. (2023). Transforming education: A comprehensive review of generative
                      artificial intelligence in educational settings through bibliometric and content
                      analysis. Sustainability, 15(17), 12983.
                  Baidoo-Anu, D., in Ansah, L. O. (2023). Education in the era of generative artificial
                      intelligence (AI): Understanding the potential benefits of ChatGPT in promoting
                      teaching and learning. Journal of AI, 7(1), 52–62.
                  Baker, R. S., in Inventado, P. S. (2014). Educational data mining and learning analytics. V
                      J. Larusson in B. White (ur.), Learning analytics (str. 61–75). Springer.
                  Bandi, A., Adapa, P. V. S. R., in Kuchi, Y. E. V. P. K. (2023). The power of generative AI: A
                      review of requirements, models, input-output formats, evaluation metrics, and
                      challenges. Future Internet, 15(8), 260.
                  Blanco, B. (2024). Vademecum of artificial intelligence tools applied to the teaching of
                      languages. Journal of Technology and Science Education, 14(1), 77.
                  Boscardin, C. (2023). ChatGPT and generative artificial intelligence for medical educa-
                      tion: Potential impact and opportunity. Academic Medicine, 99(1), 22–27.
                  Bozkurt, A. (2023). Unleashing the potential of generative ai, conversational agents
                      and chatbots in educational praxis: A systematic review and bibliometric analy-
                      sis of genai in education. Open Praxis, 15(4), 261–270.
                  Britton, B., in Vallis, C. (2023, 3.–6.). Digital facelift: Emerging tools and typologies for edu-
                      cational media [Predstavitev na konferenci]. Australasian Society for Computers
                      in Learning in Tertiary EducationConference, Christchurch, Nova Zelandija.
                      https://doi.org/10.14742/apubs.2023.552
                  Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university
                      teaching and learning. International Journal of Educational Technology in Higher
                      Education, 20(1), 38.
                  Chen, L., Chen, P., in Lin, Z. (2020). Artificial intelligence in education: A review. IEEE
                      Access, 8, 75264–75278.





                  318
   313   314   315   316   317   318   319   320   321   322   323