Тенденции и перспективы использования нейрокомпьютерных интерфейсов в образовании

Изучение направлений применения нейрокомпьютерных интерфейсов в образовательном процессе. Выявление характеристик состояния обучающегося. Мониторинг динамики интенсивности познавательной деятельности учащихся для оптимизации подачи учебного материала.

Рубрика Педагогика
Вид статья
Язык русский
Дата добавления 30.07.2021
Размер файла 98,1 K

Отправить свою хорошую работу в базу знаний просто. Используйте форму, расположенную ниже

Студенты, аспиранты, молодые ученые, использующие базу знаний в своей учебе и работе, будут вам очень благодарны.

59. Engell-Nielsen, T., Glenstrup, A.J. & Hansen, J.P. (2003) Eye gaze interaction: A new media--not just a fast mouse. In: Itoh, K., Komatsubara, A. & Kuwano, S. (eds) Handbook of Human Factors/Ergonomics. Tokyo: AsakuraPublishing. pp. 445-455.

60. Nilsson, S., Gustafsson, T. & Carleberg, P. (2007) Hands free interaction with virtual information in a real environment. Proceedings of COGAIN 2007. Leicester, UK. pp. 53-57.

61. Sibert, L.E. & Jacob, R.J.K. (2000) Evaluation of eye gaze interaction. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM Press.pp. 281-288.

62. Velichkovsky, B.B., Rumyantsev, М.А. & Morozov, М.А. (2013) New approach to solution of Midas Touch Problem: Identifi cation of visual commands via extraction of focal fixations. VestnikMoskovskogo universiteta. Ser. 14. Psikhologiya - The Moscow University Herald. Psychology. 3. pp. 33-45. (In Russian).

63. Vilimek, R. & Zander, T.O. (2009) BC(eye): Combining eye-gaze input with brain- computer interaction. Proceedings of the HCII2009. Heidelberg: Springer. pp. 593-602.

64. Pronina, A.S., Grigoryan, R.K. & Kaplan, A.Ya. (2018) Objective eye movements during typing in P300 BCI: the effect of stimuli size and spacing. Vestnik Moskovskogo universiteta. Ser. 14. Psikhologiya - The Moscow University Herald. Psychology. 4. pp. 120-134. (In Russian).

65. Van Erp, J.B.F. & Brouwer, A.-M. (2014) Touch-based Brain Computer Interfaces: State of the art. IEEE Haptics Symposium (HAPTICS). February 23-26, 2014. pp. 397-401

66. Lukoyanov, M.V., Gordleeva, S.Y., Pimashkin, A.S., Grigoriev, N.A., Savosenkov, A.V., Motaylo, A., Kazantsev, V.B. & Kaplan, A.Y. (2018) The Efficiency of the Brain- Computer Interfaces Based on Motor Imagery with Tactile and Visual Feedback. Fiziologiya cheloveka - Human Physiology. 44(3). pp. 53-61. (In Russian).

67. Hamada, K., Mori, H., Shinoda, H. & Rutkowski, T.M. (2015) Airborne ultrasonic tactile display BCI. In: Guger, C., Mueller-Putz, G. & Allison, B. (eds) Brain-Computer Interface Research - A State-of-the-Art Summary 4. SpringerBriefs in Electrical and Computer Engineering. Springer International Publishing. pp. 57-65.

68. White, S.W., Richey, J.A., Gracanin, D., Coffman, M., Elias, R., LaConte, S. & Ollen- dick, T.H. (2016) Psychosocial and computer-assisted intervention for college students with autism spectrum disorder: preliminary support for feasibility. Education and Training in Autism and Developmental Disabilities. 51(3). pp. 307-317.

69. Lim, C.G., Lee, T.S., Guan, C.T., Fung, D.S., Zhao, Y., Teng, S.S.W., Zhang, H.K. & Krishnan, R.R. (2012) A brain-computer interface based attention training program for treating attention deficit hyperactivity disorder. PLoS ONE. 7(10). p. 46692.

70. Ali, A. & Puthusserypady, S. (2015) A 3D learning playground for potential attention training in ADHD: A Brain Computer Interface approach. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 67-70.

71. Zammouri, A., Moussa, A.A. & Mebrouk, Y. (2018) Brain-computer interface for workload estimation: Assessment of mental efforts in learning processes. Expert Systems With Applications. 112. pp. 138-147.

72. Endsley, M.R. (1995) Toward a theory of situation awareness in dynamic systems. Human Factors. 37. pp. 32-64.

73. Berka, C., Levendowski, D.J., Davis, G., Whitmoyer, M., Hale, K. & Fuchs, S. (2006) Objective measures of situational awareness using neurophysiology technology. Augmented Cognition: Past, Present and Future. pp. 145-154.

74. Yeo, L.G., Sun, H., Liu, Y., Trapsilawati, F., Sourina, O., Chen, C.-H., Mьller-Wittig, W. & Ang, W.T. (2017) Mobile EEG-based situation awareness recognition for air traffic controllers. IEEE International Conference on Systems, Man, and Cybernetics (SMC) (Banff, AB). pp. 3030-3035.

75. Kostromina, S.N., Mkrtychian, N.A., Kurmakaeva, D.M. & Gnedykh, D.S. (2017) The interrelationship between cognitive control and academic success of first-year students: An interdisciplinary study. Psychology in Russia: State of the Art. 10(4). pp. 60-75. Carreiras, M., Monahan, P.J., Lizarazu, M., Dunabeitia, J.A. & Molinaro, N. (2015) Numbers are not like words: Different pathways for literacy and numeracy. NeuroImage. 118. pp. 79-89.

76. Zakaria, E., Zain, N.M., Ahmad, N.A. & Erlina, A. (2012) Mathematics anxiety and achievement among secondary school students. American Journal of Applied Sciences. 9(11). pp. 1828-1832.

77. Kostromina, S., Gnedykh, D. & Molodtsova, G.A. (2017) Psycho-Pedagogical Model for Evaluating Effectiveness of Students' Learning on the Basis of Electronic Visual Rows. Chapter in Optimizing Human-Computer Interaction With Emerging Technologies. USA, IGI Global. pp. 183-209.

Размещено на Allbest.ru

...

Подобные документы

Работы в архивах красиво оформлены согласно требованиям ВУЗов и содержат рисунки, диаграммы, формулы и т.д.
PPT, PPTX и PDF-файлы представлены только в архивах.
Рекомендуем скачать работу.