Teacher’s Role in a Smart Learning Environment—A Review Study

Klímová, Blanka

doi:10.1007/978-3-319-39690-3_5

Cited by 12 publications

(8 citation statements)

References 14 publications

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“…In the study by Chang et al (2018) on mobile/ubiquitous learning, only "mobile learning" and "ubiquitous learning" were used to search for data. Particularly, it is worth mentioning that such strategy was also adopted by reviews related to smart learning, i.e., the use of "smart learning environment" in the study by Klimova (2016) as well as "smart learning" and "smart classroom" in the study by Papamitsiou and Economides (2016).…”

Section: Limitationsmentioning

confidence: 99%

Past, present, and future of smart learning: a topic-based bibliometric analysis

Chen

Zou

Xie³

et al. 2021

Int J Educ Technol High Educ

111

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Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies technological and social developments and facilitates effective personalized learning with innovative technologies, especially smart devices and online technologies. Smart learning has attracted increasing research interest from the academia. This study aims to comprehensively review the research field of smart learning by conducting a topic modeling analysis of 555 smart learning publications collected from the Scopus database. In particular, it seeks answers to (1) what the major research topics concerning smart learning were, and (2) how these topics evolved. Results demonstrate several major research issues, for example, Interactive and multimedia learning, STEM (science, technology, engineering, and mathematics) education, Attendance and attention recognition, Blended learning for smart learning, and Affective and biometric computing. Furthermore, several emerging topics were identified, for example, Smart learning analytics, Software engineering for e-learning systems, IoT (Internet of things) and cloud computing, and STEM education. Additionally, potential inter-topic directions were highlighted, for instance, Attendance and attention recognition and IoT and cloud computing, Semantics and ontology and Mobile learning, Feedback and assessment and MOOCs (massive open online courses) and course content management, as well as Blended learning for smart learning and Ecosystem and ambient intelligence.

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Section: Limitationsmentioning

confidence: 99%

Past, present, and future of smart learning: a topic-based bibliometric analysis

Chen

Zou

Xie³

et al. 2021

Int J Educ Technol High Educ

111

View full text Add to dashboard Cite

show abstract

“…The number of the users is increasing year on year in a dramatic pace, and all these aspects of modern society must be reflected by the professionals responsible for the development of the area of smart learning, e-Learning, hybrid learning, etc. [8,18] In education, this rise described above is very similar and follows the same trend [12,13,44,45,46], i.e. more and more people are using computers and smart devices on a daily basis [7], not only for basic communication with the tutor but as -potentially -a very efficient tool for educational purposes [11,20,21,25,27,29].…”

mentioning

confidence: 83%

Computational Linguistics and Its Implementation in e-Learning Platforms

Pikhart

2019

Lecture Notes in Computer Science

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We have experienced in the past few years massive use of various kinds of e-Learning methodology, such as m-learning and blended learning etc. Despite this ubiquitous implementation of these modern approaches, we still lack their proper use regarding their full exploitation in the virtual learning environment. M-learning platforms are ubiquitous, however, they lack the potential which is given to us from computational linguistics, deep learning, and artificial intelligence. The paper attempts to highlight this fact and brings this neglected topic to the attention of the creators and designers of these mobile apps because their potential is much greater and we should put our undivided attention to this issue if we want to improve the technology which we use.

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“…In order to improve the practical capability of digital transformation consequence, the smart technology's advancement through big data or IoT approach configured with its data analytics endeavours to manage the establishment outline of communication pathway among the users. The sufficient adoption of an online usage through the computer assistance would make an operational structure with its significant contribution into the educational setting (Klimova, 2016). With its significant essence of handling the wide range of concerns in resulting the resources, the information engagement is widely transmitted in the current learning trends.…”

Section: Maximizing Smart Technology Utility For Information Accessmentioning

confidence: 99%

Smart Learning Environment (SLE) in the Fourth Industrial Revolution (IR 4.0)

Mulyadi

Huda

Gusmian³

2021

International Journal of Asian Business and Information Management

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This paper is attempted to examine the explanatory approach in dealing with SLE by advancing online learning sources. The systematic approach of searching for the relevant articles on SLE in IR 4.0 has been widely identified through two electronic databases, Scopus and Web of Sciences. Through adopting such digitally systematic search program, identification was made on the various elements in terms of online learning resources (OLR). This attempts to propose the SLE framework model with an innovative approach in enhancing the learning through incorporating IR 4.0 platform to utilize the variety of information sources together with knowledge attribution in the higher education (HE). The contribution provides theoretical framework with the guideline of well-adapted performance in the educational activities as the new normal trend. In achieving this attainment, the readiness of both instruction facilities and accessibility procedure is significantly the main basis in ensuring the process flow in enlarging the digital learning.

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Teacher’s Role in a Smart Learning Environment—A Review Study

Cited by 12 publications

References 14 publications

Past, present, and future of smart learning: a topic-based bibliometric analysis

Past, present, and future of smart learning: a topic-based bibliometric analysis

Computational Linguistics and Its Implementation in e-Learning Platforms

Smart Learning Environment (SLE) in the Fourth Industrial Revolution (IR 4.0)

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