Умная учебная лаборатория автоматизации проведения лабораторных работ
Ключевые слова:
умное окружение, умная учебная лаборатория, система мониторинга событий, сенсорная сеть, мультиагентные системы, коррекция ошибок
Аннотация
В последнее время в России и за рубежом широкое распространение получили работы в области создания умных сред или умного окружения. Наряду со ставшими уже привычными областями применения такого рода работ (для поддержания определенного уровня комфорта в деятельности человека, достойного уровня жизни престарелых людей и т. п.), в мире существует тенденция использования технологий умного окружения в сфере образования, что является новой областью приложения технологий умных сред или умного окружения. В статье рассматривается концепция умной учебной лаборатории для помощи преподавателям и студентам. Предлагаемая умная учебная лаборатория поможет преподавателям повысить эффективность проведения лабораторных работ, что, в свою очередь, улучшит качество обучения, позволив студентам более эффективно приобретать знания, навыки и умения, определенные государственными образовательными стандартами.
Литература
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[15] E. L. Romanov, “Avtomatizatsiya ucheta reitinga uspevaemosti studentov” [Automation of accounting of students' performance rating], Otkrytoe i distantsionnoe obrazovanie, no. 2, pp. 55–62, 2014 (in Russian)
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[18] A. V. Gavrilov and N. A. Chistykov “An Architecture of the Toolkit for Development of Hybrid Expert Systems,” in 2 Int. Multi-Conference on Automation, Control and Applications (ACIT-ACA), Novosibirsk, Russia, 2005, pp. 116–120.
[19] J. Schmidhuber “Deep learning in neural networks: an overview. Tech. Rep. IDSIA-03-14,” University of Lugano & SUPSI, Switzerland, 2014.
[20] A. V. Gavrilov and V. M. Kangler, “Neiromorfnye tekhnologii: sostoyanie i perspektivy razvitiya” [Neuromorphic technologies: state and prospects of development] in Robototekhnika i iskusstvennyi intellekt: materialy 7 Vseros. nauch.-tekhn. konf. s mezhdunar. uchastiem (RII), Zheleznogorsk, Russia, 2016, pp. 148–154 (in Russian).
[21] A. V. Kolesnikov, Gibridnye intellektual'nye sistemy: Teoriya i tekhnologiya razrabotki [Hybrid Intelligent Systems: Theory and Technology of Development], St. Petersburg: Izd-vo SPbGTU, 2001 (in Russian).
[22] A. V. Gavrilov, Gibridnye intellektual'nye sistemy: monografiya [Hybrid Intelligent Systems: Monograph], Novosibirsk, Russia: Izd-vo NGTU, 2003 (in Russia).
[23] A. V. Gavrilov, “Arkhitektura “dvukhpolusharnoi” ekspertnoi sistemy,” Sistemy iskusstvennogo intellekta, Novosibirsk, Russia: Izd-vo NGTU, 1993, pp. 10–14 (in Russia).
[24] A. V. Gavrilov and Y. V. Novitskaya, “Arkhitektura “dvukhpolusharnoi” ekspertnoi sistemy” [The architecture of the "two-hemisphere" expert system], Kibernetika i VUZ. Intellektual'nye informatsionnye tekhnologii, Tomsk, Russia, 1994 (in Russia)
[25] SWI Prolog [Online]. Available: http://www.swi-prolog.org
[2] W. R. Weber, J. M. Rabaey, and E. Aarts Eds., Ambient Intelligence, Springer, 2005.
[3] A. V. Gavrilov “Hybrid Intelligent Systems in Ubiquitous Computing” in Designing Solutions-Based Ubiquitous and Pervasive Computing: New Issues and Trends. Information Science Publishing, 2010, pp. 263–281.
[4] A. V. Gavrilov, “Iskusstvennyi Domovoi” [Artificial Brownie], Iskusstvennyi intellekt i prinyatie reshenii, no. 2, pp. 77–89, 2012 (in Russian)
[5] P. S. Pandian et al. “Smart Vest: Wearable multi-parameter remote physiological monitoring system,” Medical & Engineering Physics, vol. 30, no. 4, pp. 466–477, 2008; doi:10.1016/j.medengphy.2007.05.014
[6] L. Young-Dong and C. Wan-Young, “Wireless sensor network based wearable smart shirt for ubiquitous health and activity monitoring,” Sensors and Actuators B: Chemical, vol. 140, no. 2, pp. 390–395, 2008; doi:10.1016/j.snb.2009.04.040
[7] P. Mikulecky, “Smart Environment for Smart Learning” in 9 Int. Scientific Conference on Distance Learning in Applied Informatics (DIVAI), Štúrovo, Slovakia, 2012, pp. 213–222.
[8] R. Azevedo et al. “MetaTutor: An Intelligent Multi-Agent Tutoring System Designed to Detect, Track, Model Foster Self-Regulated Learning” in The Fourth Workshop on Self-Regulated Learning in Educational Technologies (SRL&ET), 2012.
[9] V. Efthymiou, M. Koutraki, and G. Antoniou “Real-Time Activity Recognition and Assistance in Smart Classrooms” Advances in Distributed Computing and Artificial Intelligence Journal, vol. 1, no. 1. pp. 9–22, 2012; doi:10.14201/ADCAIJ201211922
[10] A. V. Gavrilov, Y. V. Novitskaya, and T. A. Yatsevich “Umnaya uchebnaya laboratoriya” [Smart school laboratory], in Robototekhnika i iskusstvennyi intellekt: materialy 5 Vseros. nauch.-tekhn. konf. s mezhdunar. uchastiem (RII), Zheleznogorsk, Russia, 2013, pp. 126–134.
[11] A. V. Gavrilov, Y. V. Novitskaya, and T. A. Yatsevich, “Towards a smart school laboratory” in 10 Int. Scientific Conference on Distance Learning in Applied Informatics (DIVAI), Štúrovo, Slovakia, 2014, pp. 65–74.
[12] Y. V. Novitskaya and A. V. Gavrilov, “O primenenii tekhnologii «umnykh sred» k avtomatizatsii provedeniya laboratornykh rabot” [About application of technologies of "clever environments" to automation of carrying out of laboratory works] in Integrirovannye modeli i myagkie vychisleniya v iskusstvennom intellekte: 8 mezhdunar. nauch.-prakt. konf., Kolomna, Russia, vol. 1, 2015, pp. 410–417 (in Russian)
[13] Y. V. Novitskaya, A. V. Gavrilov, and S. A. Strekalovskiy “Event monitoring system of smart school laboratory” in 16 International conference of young specialists on micro/nanotechnologies and electron devices (EDM), Altai, Russia, 2015. pp. 116–119.
[14] Y. V. Novitskaya and A. V. Gavrilov, “Expert System of the Monitoring Module for Smart School Laboratory,” in 11 Int. Forum on Strategic Technology (IFOST), Novosibirsk, Russia, vol. 3, 2016, pp. 272–275.
[15] E. L. Romanov, “Avtomatizatsiya ucheta reitinga uspevaemosti studentov” [Automation of accounting of students' performance rating], Otkrytoe i distantsionnoe obrazovanie, no. 2, pp. 55–62, 2014 (in Russian)
[16] T. A. Nguyen et al. “Towards Context Consistency in a Rule-Based Activity Recognition Architecture,” in 10 Int. Conference on Ubiquitous Intelligence & Computing and 10 Int. Conference on Autonomic & Trusted Computing (UIC-ATC), Italy, 2013, pp. 625–630.
[17] A. V. Gavrilov and Y. V. Novitskaya, “The Toolkit for Development of Hybrid Expert Systems,” in 5 Int. Symp. KORUS, Tomsk, Russia, vol. 1, 2001, pp. 73–75.
[18] A. V. Gavrilov and N. A. Chistykov “An Architecture of the Toolkit for Development of Hybrid Expert Systems,” in 2 Int. Multi-Conference on Automation, Control and Applications (ACIT-ACA), Novosibirsk, Russia, 2005, pp. 116–120.
[19] J. Schmidhuber “Deep learning in neural networks: an overview. Tech. Rep. IDSIA-03-14,” University of Lugano & SUPSI, Switzerland, 2014.
[20] A. V. Gavrilov and V. M. Kangler, “Neiromorfnye tekhnologii: sostoyanie i perspektivy razvitiya” [Neuromorphic technologies: state and prospects of development] in Robototekhnika i iskusstvennyi intellekt: materialy 7 Vseros. nauch.-tekhn. konf. s mezhdunar. uchastiem (RII), Zheleznogorsk, Russia, 2016, pp. 148–154 (in Russian).
[21] A. V. Kolesnikov, Gibridnye intellektual'nye sistemy: Teoriya i tekhnologiya razrabotki [Hybrid Intelligent Systems: Theory and Technology of Development], St. Petersburg: Izd-vo SPbGTU, 2001 (in Russian).
[22] A. V. Gavrilov, Gibridnye intellektual'nye sistemy: monografiya [Hybrid Intelligent Systems: Monograph], Novosibirsk, Russia: Izd-vo NGTU, 2003 (in Russia).
[23] A. V. Gavrilov, “Arkhitektura “dvukhpolusharnoi” ekspertnoi sistemy,” Sistemy iskusstvennogo intellekta, Novosibirsk, Russia: Izd-vo NGTU, 1993, pp. 10–14 (in Russia).
[24] A. V. Gavrilov and Y. V. Novitskaya, “Arkhitektura “dvukhpolusharnoi” ekspertnoi sistemy” [The architecture of the "two-hemisphere" expert system], Kibernetika i VUZ. Intellektual'nye informatsionnye tekhnologii, Tomsk, Russia, 1994 (in Russia)
[25] SWI Prolog [Online]. Available: http://www.swi-prolog.org
Опубликован
2016-12-30
Как цитировать
Гаврилов, А. В., & Новицкая, Ю. В. (2016). Умная учебная лаборатория автоматизации проведения лабораторных работ. Компьютерные инструменты в образовании, (6), 20-32. извлечено от http://cte.eltech.ru/ojs/index.php/kio/article/view/1414
Выпуск
Раздел
Компьютер в учебном процессе
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