Bibliometric Literature Review of Adaptive Learning Systems

Koutsantonis, Dionisios; Koutsantonis, Konstantinos; Bakas, Nikolaos; Plevris, Vagelis; Langousis, Andreas; Chatzichristofis, Savvas A.

doi:10.3390/su141912684

Cited by 9 publications

(6 citation statements)

References 58 publications

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“…A bibliometric analysis represents a quantitative methodology by which meaningful insights can be obtained from large quantities of data (Broadus, 1987). The main outcomes of a bibliometric analysis are the identification of emerging research trends in a field, collaboration, and publication patterns, and exploration of literature structure (Koutsantonis et al, 2022). The approaches of a bibliometric analysis could be categorized into two main groups: performance analysis and science mapping (Solorzano and Plevris, 2022).…”

Section: Bibliometric Analysis Methodologymentioning

confidence: 99%

Bridge management through digital twin-based anomaly detection systems: A systematic review

Rios

Plevris

Nogal

2023

Front. Built Environ.

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Bridge infrastructure has great economic, social, and cultural value. Nevertheless, many of the infrastructural assets are in poor conservation condition as has been recently evidenced by the collapse of several bridges worldwide. The objective of this systematic review is to collect and synthesize state-of-the-art knowledge and information about how bridge information modeling, finite element modeling, and bridge health monitoring are combined and used in the creation of digital twins (DT) of bridges, and how these models could generate damage scenarios to be used by anomaly detection algorithms for damage detection on bridges, especially in bridges with cultural heritage value. A total of 76 relevant studies from 2017 up to 2022 have been taken into account in this review. The synthesis results show a consensus toward the future adoption of DT for bridge design, management, and operation among the scientific community and bridge practitioners. The main gaps identified are related to the lack of software interoperability, the required improvement of the performance of anomaly-detection algorithms, and the approach definition to be adopted for the integration of DT at the macro scale. Other potential developments are related to the implementation of Industry 5.0 concepts and ideas within DT frameworks.

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Section: Bibliometric Analysis Methodologymentioning

confidence: 99%

Bridge management through digital twin-based anomaly detection systems: A systematic review

Rios

Plevris

Nogal

2023

Front. Built Environ.

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“…The method presented in [21,22] is extended and utilized to analyse the obtained database of papers. To define the contingency matrix c, we denote the elements of the matrix as c ij , where i, j ∈ [N ] = {1, 2, .…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, instead of minimising the differences among the distances and dissimilarities as proposed in [21], the Pearson correlation is maximised among the distances and dissimilarities by defining dissimilarities as:…”

Section: Methodsmentioning

confidence: 99%

A Bibliometric Overview of Open Science Research

Bakas,

Athenodorou,

Anastasopoulou

et al. 2023

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Scientific research exhibits a vast increase in terms of published works, as well as produced data, computer codes, and scientific methods. Accordingly, openness is a modern demand in science, and many efforts occur in this direction. The reproducibility of results, data sharing, transparency, and replication are emerging challenges in research, as by following "open science" principles, the research community, as well as society, obtains beneficial outcomes in the best possible way. In this work, we computationally analyse a large volume of papers related to open science. Particularly, we use the Scopus database and search for papers with the term "open science" in the title, abstract or keywords, within the past ten years. In total 4878 papers were identified, in the following categories: Article (N=2770), Conference paper (N=724), Review (N=646), Editorial (N=188), Note (N=176), Book chapter (N=119), Erratum (N=112), Conference review (N=54), Data paper (N=30), Letter (N=29), Book (N=16), and Short survey (N=14). We start with descriptive statistics of the keywords appearing in the papers, and continue with inter-items' associations, by computing the contingency matrix. Accordingly, we calculate the objects' potions on the bibliometric map, by using a novel multidimensional scaling algorithm. In order to verify the associations, we permute the contingency matrix to minimise its bandwidth and plot the resulting clusters of keywords. Finally, in order to evaluate the evolution of the terms in recent years, we compute the timeseries of the occurrence of keywords and select the ones exhibiting higher trends, based on linear as well as nonlinear model fit. We also compute the normalised timeseries, in order to subtract the overall increase in scientific output. We discuss significant conclusions on open science research, based on a rigorous computational procedure. 1266COMPDYN 2023 9 th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering M. Papadrakakis, M. Fragiadakis (eds.

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“…[23] discussed the advancement and research trends of smart learning systems in pervasive environments. [24] analyzed a vast volume of published articles in the field of adaptive learning. [25] compiled the challenges faced by context-aware recommendation systems and demonstrated the ability of bio-inspired computing techniques and statistical computing techniques to handle these challenges.…”

Section: Related Workmentioning

confidence: 99%

Toward a Context-Aware Course-Planning Model in Pervasive Learning Environments

Kosrane,

Gharzouli

2023

Int. J. Emerg. Technol. Learn.

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This article proposes a context-aware course-planning model for pervasive learning environments. The model considers learners’ preferences, including their learning styles, locations, activities, and devices. The model generates four-dimensional contexts based on these preferences, each dimension being a weighted vector of visual, aural, read/write, and kinesthetic (VARK) features. Using a content-based similarity algorithm, the model adapts the course content to each learner’s context. The courses are created in a sequence of rings, each containing all possible learning materials (LMs) that have the same content in different formats. Each LM is represented by a vector with weights like those of the learners’ context dimensions. The model generates all possible plans based on the predefined contexts of the learner, detects the learner’s actual context, and adapts the content accordingly. The goal of the model is to enable learners to learn what they want, in the way they prefer, and to complete courses efficiently, at any time, place, and during any activity, in the appropriate format.

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Bibliometric Literature Review of Adaptive Learning Systems

Cited by 9 publications

References 58 publications

Bridge management through digital twin-based anomaly detection systems: A systematic review

Bridge management through digital twin-based anomaly detection systems: A systematic review

A Bibliometric Overview of Open Science Research

Toward a Context-Aware Course-Planning Model in Pervasive Learning Environments

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