Personalized Learning Environment (PLE) Experience in the Twenty-First Century: Review of the Literature

Mohd, Che Ku Nuraini Che Ku; Shahbodin, Faaizah

doi:10.1007/978-3-319-17398-6_17

Cited by 11 publications

(10 citation statements)

References 21 publications

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“…Yet, we expect that PBC has much more to offer than its limited coverage suggests. Therefore, defining the meaning of PBC and exploring its contribution in measuring completeness are among the questions that we have explored in our earlier work (see [43][44][45][46]). Nevertheless, studying the practical issues (in PBC and other forms of measures) that might arise in acquiring (or providing) reference data sets, and the ways to deal with those issues remain open problems in data completeness studies, which will be addressed in our future work.…”

Section: Discussionmentioning

confidence: 99%

“…The proposed feature extraction method is going to be compared again with 3D Zernike discussed in this chapter and more benchmarking 3D-based SDs, such as 3D Legendre and 3D Fourier transform, will also be compared using specifically tailored classifiers for shape representation, such as classifiers by Zhiyong et al [46], Xu et al [47]. Additional data from National Poison Centre, Malaysia, will also be used as dataset in the future works.…”

Section: Discussionmentioning

confidence: 99%

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Pattern Analysis, Intelligent Security and the Internet of Things

Abraham¹,

Muda²,

Choo³

2015

Advances in Intelligent Systems and Computing

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The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing.The publications within "Advances in Intelligent Systems and Computing" are primarily textbooks and proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results. Advisory BoardChairman Nikhil R. Pal,

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Pattern Analysis, Intelligent Security and the Internet of Things

Abraham¹,

Muda²,

Choo³

2015

Advances in Intelligent Systems and Computing

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“…Technologies and geotechnologies (GeoICT) make it possible to introduce custom processes without undue stress. In fact, after a review of the literature related to the personalized learning environments (PLE), it concludes that it is imperative to improve the quality and quantity of technology used to aid the learning process [26]. The TPACK model attempts to solve this problem [27].…”

Section: Who Will Learnmentioning

confidence: 99%

WebGIS and Geospatial Technologies for Landscape Education on Personalized Learning Contexts

Lázaro-Torres

González

Yago

2017

IJGI

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Abstract:The value of landscape, as part of collective heritage, can be acquired by geographic information systems (GIS) due to the multilayer approach of the spatial configuration. Proficiency in geospatial technologies to collect, process, analyze, interpret, visualize, and communicate geographic information is being increased by undergraduate and graduate students but, in particular, by those who are training to become geography teachers at the secondary education level. Some teaching experiences, using personalized learning, distance learning methodology, and GIS, focused on education aims to integrate students and enhance their understanding of the landscape are shown. Opportunities offered by WebGIS will be described, through quantitative tools and techniques that will allow this modality of learning and improve its effectiveness. Results of this research show that students, through geospatial technologies, learn the landscape as a diversity of elements, but also the complexity of physical and human factors involved. Several conclusions will be highlighted: (i) the contribution of geospatial training to education on the landscape and for sustainable development; (ii) spatial analysis as a means of skills acquisition regarding measures for landscape conservation; and (iii) expanding and applying acquired knowledge to other geographic spaces.

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“…However, technologies and geo technologies (GeoICT) make it possible to introduce custom processes without undue stress. In fact, after a review on the literature related to the personalized learning environments PLE (Personalized Learning Environment), it concludes that it is imperative to improve the quality and quantity of technology used to aid the learning process [16]. The personalization of learning has nowadays an increasing weight in society, using ICT as the international reports on Higher Education and the literature dedicated to learning forms say.…”

Section: Personalised Learning Contextmentioning

confidence: 99%

WebGIS and Geospatial Technologies for Landscape Education on Personalized Learning Contexts

Torres¹,

González²,

Yago³

2017

Preprint

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Abstract:The value of landscape, as part of collective heritage, can be acquired by GIS due to the multilayer approach of the spatial configuration. Proficiency in geospatial technologies in order to collect, process, analyze, interpret, visualize and communicate geographic information is being increased by undergraduate and graduate students, but in particular by those who are training to become geography teachers at secondary education. This training can be carried out through personalized learning and distance learning methodology. Personalized GIS education aims to integrate students and enhance their understanding of landscape. Some teaching experiences are shown whereby opportunities offered by WebGIS will be described, through quantitative tools and techniques that will allow this modality of learning and improve its effectiveness. Results of this research show that students, through geospatial technologies, learn landscape as a diversity of elements but also the complexity of physical and human factors involved. Several conclusions will be highlighted: i) the contribution of geospatial training to education for sustainable development; ii) spatial analysis as a mean of skills acquisition about measures for landscape conservation; iii) expanding and applying acquired knowledge to other geographic spaces and different landscapes.

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Personalized Learning Environment (PLE) Experience in the Twenty-First Century: Review of the Literature

Cited by 11 publications

References 21 publications

Pattern Analysis, Intelligent Security and the Internet of Things

Pattern Analysis, Intelligent Security and the Internet of Things

WebGIS and Geospatial Technologies for Landscape Education on Personalized Learning Contexts

WebGIS and Geospatial Technologies for Landscape Education on Personalized Learning Contexts

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