Intelligent System of Distance Education of Engineers, Based on Modern Innovative Technologies

Samigulina, Galina; Samigulina, Zarina

doi:10.1016/j.sbspro.2016.07.034

Cited by 14 publications

(6 citation statements)

References 9 publications

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“…In the centre of technology development in eLearning is an educational problem that should be resolved in a new way to achieve the required outputs. Examples of novel technologies and intelligent techniques applicable to eLearning are focused on learning personalization (Markowska-Kaczmar et al, 2010), intelligent textbooks creation (Boulanger and Kumar, 2019), using social robots as tutors and peer learners (Belpaeme et al, 2018) and technology for information exchange between intelligent systems and laboratory equipment (Samigulina and Samigulina, 2016) that emerging to resolve available educational problems.…”

Section: Information Technologiesmentioning

confidence: 99%

eLearning Informatics: From Automation of Educational Activities to Intelligent Solutions Building

Ivanova¹

2020

Informatics in Education

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eLearning is fast progressing scientific field proposing novel and specific approaches in a range of domains. It is well established practice in universities, schools and organizations for delivering interactive, adaptive and flexible training, taking advantage of contemporary and emerging technologies. Informatics is a continuously evolving science presenting its theoretical and practical advances applicable in various research areas, including in eLearning. The paper presents an exploration focused on the symbiotic connection between Informatics and eLearning that leads to contemporary and innovative solutions, facilitating and automating a wide variety of activities at information processing. The term eLearning Informatics is conceptualized and explained as a scientific field outlining the current research achievements and further directions for development. The applied research methodology is based on outlining the main vision in the domain eLearning Informatics through utilization of bibliometric approach and construction of bibliometric networks as well as on detailed examination of topic-related scientific papers.

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Section: Information Technologiesmentioning

confidence: 99%

eLearning Informatics: From Automation of Educational Activities to Intelligent Solutions Building

Ivanova¹

2020

Informatics in Education

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“…The proposed researches are a continuation of the cycle of works devoted to distance learning of engineering specialties. For example, the work [19] considers the need to process a huge flow of multidimensional data in real time arising from the operation of modern DL systems, problems associated with the huge number of unaccounted factors affecting the system and the ability to connect to real equipment. With DL there is a very large load on the eyesight [20], therefore, the development of a specialized DL system for people with visual disabilities is urgent.…”

Section: Cognitive Smart-technology Of Distance Learning Of Experion mentioning

confidence: 99%

Cognitive Smart-Technology of Distance Learning of Experion PKS Distributed Control System for Oil and Gas Industry Using Ontological Approach

Samigulina¹,

Technologies²,

Samigulina³

et al. 2020

Series of geology and technical sciences

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NAS RK is pleased to announce that News of NAS RK. Series of geology and technical sciences scientific journal has been accepted for indexing in the Emerging Sources Citation Index, a new edition of Web of Science. Content in this index is under consideration by Clarivate Analytics to be accepted in the Science Citation Index Expanded, the Social Sciences Citation Index, and the Arts & Humanities Citation Index. The quality and depth of content Web of Science offers to researchers, authors, publishers, and institutions sets it apart from other research databases. The inclusion of News of NAS RK. Series of geology and technical sciences in the Emerging Sources Citation Index demonstrates our dedication to providing the most relevant and influential content of geology and engineering sciences to our community. Қазақстан Республикасы Ұлттық ғылым академиясы "ҚР ҰҒА Хабарлары. Геология жəне техникалық ғылымдар сериясы" ғылыми журналының Web of Science-тің жаңаланған нұсқасы Emerging Sources Citation Index-те индекстелуге қабылданғанын хабарлайды. Бұл индекстелу барысында Clarivate Analytics компаниясы журналды одан əрі the Science Citation Index Expanded, the Social Sciences Citation Index жəне the Arts & Humanities Citation Index-ке қабылдау мəселесін қарастыруда. Webof Science зерттеушілер, авторлар, баспашылар мен мекемелерге контент тереңдігі мен сапасын ұсынады. ҚР ҰҒА Хабарлары. Геология жəне техникалық ғылымдар сериясы Emerging Sources Citation Index-ке енуі біздің қоғамдастық үшін ең өзекті жəне беделді геология жəне техникалық ғылымдар бойынша контентке адалдығымызды білдіреді. НАН РК сообщает, что научный журнал «Известия НАН РК. Серия геологии и технических наук» был принят для индексирования в Emerging Sources Citation Index, обновленной версии Web of Science. Содержание в этом индексировании находится в стадии рассмотрения компанией Clarivate Analytics для дальнейшего принятия журнала в the Science Citation Index Expanded, the Social Sciences Citation Index и the Arts & Humanities Citation Index. Web of Science предлагает качество и глубину контента для исследователей, авторов, издателей и учреждений. Включение Известия НАН РК. Серия геологии и технических наук в Emerging Sources Citation Index демонстрирует нашу приверженность к наиболее актуальному и влиятельному контенту по геологии и техническим наукам для нашего сообщества.

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“…The hardware system refers to servers with better performance, basic network top devices, complete courseware, personal operating systems and systems with good performance. Software system mainly refers to the use of computer data in the teaching process, such as learning database, learning data packages, subject information and many other information [7].…”

Section: State Of the Artmentioning

confidence: 99%

Personalized Distance Education System Based on Data Mining

2018

Int. J. Emerg. Technol. Learn.

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To improve the poor intelligence and personalized service of the learning system in current distance education and training, a personalized learning system model based on data mining technology was proposed. Then, the method of applying the decision tree and BP neural network algorithm to de-sign the system was described in detail. Finally, the core module of the per-sonalized distance education system combined with Web was designed. The personalized function module introduced how the user operates the intelli-gent Web reasoning in the module according to the user input learning in-formation and gave the most matching learning materials. Finally, the appli-cation results showed that the system greatly improved the personalized ser-vice module.

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Intelligent System of Distance Education of Engineers, Based on Modern Innovative Technologies

Cited by 14 publications

References 9 publications

eLearning Informatics: From Automation of Educational Activities to Intelligent Solutions Building

eLearning Informatics: From Automation of Educational Activities to Intelligent Solutions Building

Cognitive Smart-Technology of Distance Learning of Experion PKS Distributed Control System for Oil and Gas Industry Using Ontological Approach

Personalized Distance Education System Based on Data Mining

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