Adaptation Oriented "Resource" Modeling for Course-based E-learning Environment

Madhusudhana, Kalla; Raj, V. Cyril; Ravi, T.

doi:10.3991/ijet.v9i1.3090

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…Using Google Classroom as a learning management system has provided an easy-to-use platform for students (Dash, 2019). Resource-based learning is an upcoming trend that is also being widely discussed in this context (Sudhana et al ., 2014). Still, around 71.1% of students have reported concerns about using the technology, citing cyber security concerns (Syed et al ., 2021).…”

Section: Indian Edtech Sector and Its Comparison With The Worldmentioning

confidence: 99%

EdTech applications and their adoption in Indian education sector–a bibliometric analysis and systematic literature review

Aaradhi,

Chakraborty

2023

HESWBL

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PurposeThis research intends to analyse the trend in educational technology (EdTech) over the last 20 years using systematic scientific mapping and bibliometric analysis and how it relates to the Indian context. Considering the anticipated growth in this field over the previous three years post-pandemic, an existing literature analysis is required. This study aims to map the existing intellectual structure in EdTech applications to extend the knowledge base further in this field. This study also intends to research how the Indian education sector compares in terms of the research output for the EdTech sector, considering the increased government focus on online learning as per the education policy in 2020. The study's findings will pave the way for sustainable research that will be extended in the future.Design/methodology/approachBibliometric analysis is conducted on the manuscripts extracted from Web of Science databases for the last 20 years (from 2003 to 2023). This study uses a descriptive research approach for bibliometric analysis as, by nature, this is an exploratory investigation, and no physical or existing experiment can be performed on the quantification, characteristic or productivity of EdTech applications. VoS Viewer and R software are extensively considered for a detailed bibliometric analysis.FindingsE-learning, blended learning and distance education emerged as the most frequently used keywords. The results reveal that technology adoption, higher education, technology and modelling are the most researched topics in this field.Research limitations/implicationsThis research is limited to the last 20 years' database obtained from the Web of Science database and limited to educational, management and operation databases only.Practical implicationsThe paper intends to analyse the global scenario of EdTech research and ensures that the paper will effectively connect with researchers, educators, policymakers and practitioners from different parts of the world. The results derived from the bibliometric analysis, cluster analysis and identification of key authors, journals and countries can contribute towards the improved contribution in this area.Originality/valueThe paper discusses the research in EdTech over the last two decades and effectively tries to bridge the gap in global research. Integrating systematic scientific mapping and bibliometric analysis is an innovative way to assess the growth and impact of EdTech. Considering the post-pandemic scenario and the government's emphasis on online learning, these are consistent with current developments.

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Section: Indian Edtech Sector and Its Comparison With The Worldmentioning

confidence: 99%

EdTech applications and their adoption in Indian education sector–a bibliometric analysis and systematic literature review

Aaradhi,

Chakraborty

2023

HESWBL

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“…The resulting teaching resources correspond to a learning activity. There are three possibilities: a competency developed from a PR, a competency developed from a sequence of PR and several parts of a competency developed in a RP [15].…”

Section: The Modeling Of the Proposed Servicementioning

confidence: 99%

Competency Based Approach: Modeling and Implementation

Sedra

Bennani

2020

Int. J. Emerg. Technol. Learn.

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The expansion of computer networks has at the same time given impetus to the distance learning environments. E-learning systems are also advanced and more efficient. However, these platforms offer such complex teaching functionalities that designers find themselves poorly equipped to succeed in their engineering processes. This article presents a tool that makes it easier for designers to produce educational content according to the Competency-Based Approach (CBA). We propose an implementation of the CBA after its modeling via ontology. Our module can be grafted to any author system oriented pedagogy based skills. We have advocated for Service for Oriented Architecture as a software solution to model our business process that consists of a set of interconnected services that are modeled and implemented. The proposed system is the result of a coordina-tion of, services, incorporating the order of competences explained by a distance education, which integrates and interacts according to an orchestration plan.

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“…Currently, such learning resources are student-oriented, highlighting students' learning engagement and learning enthusiasm [1][2][3][4][5]. During the development of online course learning resources, putting resource diversity over difficulty makes it impossible to grasp the overall learning situation of students [6][7][8][9][10][11][12][13][14]. Learning needs and learning preferences are not static.…”

Section: Introductionmentioning

confidence: 99%

Online Course Learning Resource Recommendation Based on Difficulty Matching

Jia¹

2022

Int. J. Emerg. Technol. Learn.

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The current methods for online course learning resource recommendation tend to continuously push similar items to students. To make students more satisfied with the overall recommendation service, it is necessary to explore the recommendation methods for online course learning resources based on difficulty matching. Therefore, this paper devises an online course learning resource recommendation method based on difficulty matching. Firstly, an online course learning resource recommendation approach was developed based on the autoencoder, in the light of difficulty matching. The flowchart of learning resource recommendation was presented, and the proposed algorithm was described in details. Then, the authors depicted the flow of the online course learning resource recommendation model, which considers difficulty matching, and proposed to capture the hierarchy of resources by assigning difficulty labels to texts, such that the proposed recommendation model outputs interpretable recommendation results. Finally, the authors designed a model that can discover the influence of the difficulty of learned resources on the difficulty of unlearned learning resources, and recommended online course learning resources considering difficulty matching. The effectiveness of the proposed model is verified through experiments.

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Adaptation Oriented "Resource" Modeling for Course-based E-learning Environment

Cited by 4 publications

References 9 publications

EdTech applications and their adoption in Indian education sector–a bibliometric analysis and systematic literature review

EdTech applications and their adoption in Indian education sector–a bibliometric analysis and systematic literature review

Competency Based Approach: Modeling and Implementation

Online Course Learning Resource Recommendation Based on Difficulty Matching

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