Цифровая эволюция современного образования: что психология знает о ней на самом деле?

Авторы

  • Лариса Александровна Цветкова Российский государственный педагогический университет имени А. И. Герцена; Национальный исследовательский университет «Высшая школа экономики», Санкт-Петербургский филиал; Российская академия образования https://orcid.org/0000-0002-4080-7103

DOI:

https://doi.org/10.33910/2686-9527-2024-6-3-254-258

Библиографические ссылки

ЛИТЕРАТУРА

Богачева, Н. В., Сивак, Е. В. (2019) Мифы о «поколении Z». Современная аналитика образования, № 1 (22), c. 1–64. EDN: VBVYTA

Лисенкова, А. А., Труфанова, Е. О. (2023) Цифровой эскапизм — от аддикции до аскетизма. Galactica Media: Journal of Media Studies, т. 5, № 3, с. 17–34. https://doi.org/10.46539/gmd.v5i3.412

Микляева, А. В., Проект, Ю. Л., Хороших, В. В. (2021) Мета-аналитическое исследование ценностного самоопределения российского студенчества на различных этапах информатизации общества. Вестник Кемеровского государственного университета, т. 23, № 4 (88), с. 958–975. https://doi.org/10.21603/2078-8975-2021-23-4-958-975

Регуш, Л. А., Алексеев, А. А., Алексеева, Е. В. и др. (2018) Сравнительная характеристика мышления современных подростков и подростков второй половины XX века. Известия Российского государственного педагогического университета им. А. И. Герцена, № 187, с. 59–69. EDN: VNORJA

Черных, А. С. (2023) Метааналитическое исследование полезависимости–поленезависимости школьников на различных этапах цифровизации общества. Психология человека в образовании, т. 5, № 2, с. 169–184. https://www.doi.org/10.33910/2686-9527-2023-5-2-169-184

Chen, L., Chen, P., Lin, Z. (2020) Artificial intelligence in education: A review. IEEE Access, vol. 8, pp. 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

Chiu, T. K. F., Xia, Q., Zhou, X. et al. (2023) Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, vol. 4, article 100118. https://doi.org/10.1016/j.caeai.2022.100118

Haleem, A., Javaid, M., Qadri, M. A., Suman, R. (2022) Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, vol. 3, pp. 275–285. https://doi.org/10.1016/j.susoc.2022.05.004

Morris, T. H., Rohs, M. (2021) The potential for digital technology to support self-directed learning in formal education of children: A scoping review. Interactive Learning Environments, vol. 31, no. 4, pp. 1974–1987. https://doi.org/10.1080/10494820.2020.1870501

Munir, H., Vogel, B., Jacobsson, A. (2022) Artificial intelligence and machine learning approaches in digital education: A systematic revision. Information, vol. 13, no. 4, article 203. https://doi.org/10.3390/info13040203

Parry, D. A., Davidson, B. I., Sewall, C. J. R. et al. (2021) A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nature Human Behaviour, vol. 5, pp. 1535–1547. https://doi.org/10.1038/s41562-021-01117-5

Reid, L., Button, D., Brommeyer, M. (2023) Challenging the myth of the digital native: A narrative review. Nursing Reports, vol. 13, no. 2, pp. 573–600. https://doi.org/10.3390/nursrep13020052

Verbeij, T., Pouwels, J. L., Beyens, I., Valkenburg, P. M. (2022) Experience sampling self-reports of social media use have comparable predictive validity to digital trace measures. Scientific Reports, vol. 12, article 7611. https://doi.org/10.1038/s41598-022-11510-3

Wolfers, L. N., Schneider, F. M. (2021) Using media for coping: A scoping review. Communication Research, vol. 48, no. 8, pp. 1210–1234. https://doi.org/10.1177/0093650220939778

REFERENCES

Bogacheva, N. V., Sivak, E. V. (2019) Mify o “pokolenii Z” [Myths about “generation Z”]. Sovremennaya analitika obrazovaniya — Modern Education Analytics, no. 1 (22), pp. 1–64. EDN: VBVYTA (In Russian)

Chen, L., Chen, P., Lin, Z. (2020) Artificial intelligence in education: A review. IEEE Access, vol. 8, pp. 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510 (In English)

Chernykh, A. S. (2023) Metaanaliticheskoe issledovanie polezavisimosti–polenezavisimosti shkol’nikov na razlichnykh etapakh tsifrovizatsii obshchestva [Field dependence/independence of school students at different stages of society digitalization: A meta-analysis]. Psikhologiya cheloveka v obrazovanii — Psychology in Education, vol. 5, no. 2, pp. 169–184. https://www.doi.org/10.33910/2686-9527-2023-5-2-169-184 (In Russian)

Chiu, T. K. F., Xia, Q., Zhou, X. et al. (2023) Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, vol. 4, article 100118. https://doi.org/10.1016/j.caeai.2022.100118 (In English)

Haleem, A., Javaid, M., Qadri, M. A., Suman, R. (2022) Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, vol. 3, pp. 275–285. https://doi.org/10.1016/j.susoc.2022.05.004 (In English)

Lisenkova, A. A., Trufanova, E. O. (2023) Tsifrovoj eskapizm — ot addiktsii do asketizma [Digital escapism — from addiction to asceticism]. Galactica Media: Journal of Media Studies, vol. 5, no. 3, pp. 17–34. https://doi.org/10.46539/gmd.v5i3.412 (In Russian)

Miklyaeva, A. V., Proekt, Yu. L., Khoroshikh, V. V. (2021) Meta-analiticheskoe issledovanie tsennostnogo samoopredeleniya rossijskogo studenchestva na razlichnykh etapakh informatizatsii obshchestva [Axiological identity of Russian students at different stages of social digitalization: A meta-analysis]. Vestnik Kemerovskogo gosudarstvennogo universiteta — The Bulletin of Kemerovo State University, vol. 23, no. 4 (88), pp. 958–975. https://doi.org/10.21603/2078-8975-2021-23-4-958-975 (In Russian)

Morris, T. H., Rohs, M. (2021) The potential for digital technology to support self-directed learning in formal education of children: A scoping review. Interactive Learning Environments, vol. 31, no. 4, pp. 1974–1987. https://doi.org/10.1080/10494820.2020.1870501 (In English)

Munir, H., Vogel, B., Jacobsson, A. (2022) Artificial intelligence and machine learning approaches in digital education: A systematic revision. Information, vol. 13, no. 4, article 203. https://doi.org/10.3390/info13040203 (In English)

Parry, D. A., Davidson, B. I., Sewall, C. J. R. et al. (2021) A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nature Human Behaviour, vol. 5, pp. 1535–1547. https://doi.org/10.1038/s41562-021-01117-5 (In English)

Regush, L. A., Alekseev, A. A., Alekseeva, E. V. et al. (2018) Sravnitel’naya kharakteristika myshleniya sovremennykh podrostkov i podrostkov vtoroj poloviny XX veka [A comparative study of thinking between modern adolescents and adolescents in the second part of the XX century]. Izvestiya Rossijskogo gosudarstvennogo pedagogicheskogo universiteta im. A. I. Gertsena — Izvestia: Herzen University Journal of Humanities & Sciences, no. 187, pp. 59–69. (In Russian)

Reid, L., Button, D., Brommeyer, M. (2023) Challenging the myth of the digital native: A narrative review. Nursing Reports, vol. 13, no. 2, pp. 573–600. https://doi.org/10.3390/nursrep13020052 (In English)

Verbeij, T., Pouwels, J. L., Beyens, I., Valkenburg, P. M. (2022) Experience sampling self-reports of social media use have comparable predictive validity to digital trace measures. Scientific Reports, vol. 12, article 7611. https://doi.org/10.1038/s41598-022-11510-3 (In English)

Wolfers, L. N., Schneider, F. M. (2021) Using media for coping: A scoping review. Communication Research, vol. 48, no. 8, pp. 1210–1234. https://doi.org/10.1177/0093650220939778 (In English)

Опубликован

30.09.2024

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