KFU. Card publication. Novik, N., Gabdulhakov, V., Lapina, M., Deepanraj, B. (2025). The Impact of Neural Networks on the Educational Outcomes of Students of Pedagogical Specialties. In: Lapina, M., Prakasha, G.S., Balakrishnan, D., Gorbunova, N., Elashmawi, W.H., Taran, V. (eds) DET-2024: International Conference on Distance Education Technologies. DET 2024. Lecture Notes in Networks and Systems, vol 1616. Springer, Cham. Pp. 334-341. https://doi.org/10.1007/978-3-032-04365-8

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NOVIK, N., GABDULHAKOV, V., LAPINA, M., DEEPANRAJ, B. (2025). THE IMPACT OF NEURAL NETWORKS ON THE EDUCATIONAL OUTCOMES OF STUDENTS OF PEDAGOGICAL SPECIALTIES. IN: LAPINA, M., PRAKASHA, G.S., BALAKRISHNAN, D., GORBUNOVA, N., ELASHMAWI, W.H., TARAN, V. (EDS) DET-2024: INTERNATIONAL CONFERENCE ON DISTANCE EDUCATION TECHNOLOGIES. DET 2024. LECTURE NOTES IN NETWORKS AND SYSTEMS, VOL 1616. SPRINGER, CHAM. PP. 334-341. HTTPS://DOI.ORG/10.1007/978-3-032-04365-8_33

Form of presentation

Articles in international journals and collections

Year of publication

2025

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Authors, employees of KFU

Gabdulkhakov Valeryan Faritovich, author

Bibliographic description in the original language

Novik, N., Gabdulhakov, V., Lapina, M., Deepanraj, B. (2025). The Impact of Neural Networks on the Educational Outcomes of Students of Pedagogical Specialties. In: Lapina, M., Prakasha, G.S., Balakrishnan, D., Gorbunova, N., Elashmawi, W.H., Taran, V. (eds) DET-2024: International Conference on Distance Education Technologies. DET 2024. Lecture Notes in Networks and Systems, vol 1616. Springer, Cham. Pp. 334-341. https://doi.org/10.1007/978-3-032-04365-8_33

Annotation

International Conference on Distance Education Technologies. DET 2024. Lecture Notes in Networks and Systems, vol 1616. Springer, Cham. Pp. 334-341

Keywords

? neural network ? artificial intelligence ? educational outcomes ? students ? digital environment

The name of the journal

International Conference on Distance Education Technologies. DET 2024. Lecture Notes in Networks and Systems, vol 1616. Springer, Cham. Pp. 334-341

URL

https://doi.org/10.1007/978-3-032-04365-8_33

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=317542&p_lang=2

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Full metadata record

Field DC	Value	Language
dc.contributor.author	Gabdulkhakov Valeryan Faritovich	ru_RU
dc.date.accessioned	2025-01-01T00:00:00Z	ru_RU
dc.date.available	2025-01-01T00:00:00Z	ru_RU
dc.date.issued	2025	ru_RU
dc.identifier.citation	Novik, N., Gabdulhakov, V., Lapina, M., Deepanraj, B. (2025). The Impact of Neural Networks on the Educational Outcomes of Students of Pedagogical Specialties. In: Lapina, M., Prakasha, G.S., Balakrishnan, D., Gorbunova, N., Elashmawi, W.H., Taran, V. (eds) DET-2024: International Conference on Distance Education Technologies. DET 2024. Lecture Notes in Networks and Systems, vol 1616. Springer, Cham. Pp. 334-341. https://doi.org/10.1007/978-3-032-04365-8_33	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=317542&p_lang=2	ru_RU
dc.description.abstract	International Conference on Distance Education Technologies. DET 2024. Lecture Notes in Networks and Systems, vol 1616. Springer, Cham. Pp. 334-341	ru_RU
dc.description.abstract	The relevance of the research is associated with the lack of objective analysis of the positive and negative aspects of the influence of neural networks on the educational outcomes of university students. Educational results are recorded through quantitative data (scores) which indicate how well students have assimilated knowledge and developed necessary skills, competencies, and personal qualities during their study of both cultural and professional blocks. The study of the influence of neural networks on educational outcomes in several universities in the Republic of Tatarstan showed that the use of neural network resources significantly affects cognitive activity and the ability to independently acquire new knowledge. The reliability of the results was assessed using Pearson's χ2 (chi-square). It was found that in higher education institutions, the negative effects of neural networks manifest as a decrease in student activity in scientific and technological events, as well as a decline in interest in creativity. This occurs despite the existence of numerous government programs aimed at developing students' creative potential. The conclusion was made that the effectiveness of using neural networks to enhance students' educational outcomes depends on the presence of methodological and technological approaches, which are currently being developed by many programmers and pedagogical researchers.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Novik, N., Gabdulhakov, V., Lapina, M., Deepanraj, B. (2025). The Impact of Neural Networks on the Educational Outcomes of Students of Pedagogical Specialties. In: Lapina, M., Prakasha, G.S., Balakrishnan, D., Gorbunova, N., Elashmawi, W.H., Taran, V. (eds) DET-2024: International Conference on Distance Education Technologies. DET 2024. Lecture Notes in Networks and Systems, vol 1616. Springer, Cham. Pp. 334-341. https://doi.org/10.1007/978-3-032-04365-8_33	ru_RU
dc.type	Articles in international journals and collections	ru_RU