[Retracted] The Collection and Utilization of Web Resources for Teaching World History Based on Data Mining Technology

Wu, Xia

doi:10.1155/2022/9124952

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

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confidence: 99%

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Retracted: The Collection and Utilization of Web Resources for Teaching World History Based on Data Mining Technology

Health¹

2023

Journal of Environmental and Public Health

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confidence: 99%

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

mentioning

confidence: 99%

Retracted: The Collection and Utilization of Web Resources for Teaching World History Based on Data Mining Technology

Health¹

2023

Journal of Environmental and Public Health

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A critical review of data mining in education on the levels and aspects of education

Fuseini,

Missah

2024

QEA

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Purpose This systematic literature review aims to identify the pattern of data mining (DM) research by looking at the levels and aspects of education. Design/methodology/approach This paper reviews 113 conference and research papers from well-known publishers of educational data mining (EDM) and learning analytics-related research using a recognized literature review in computer science by Carrera-Rivera et al. (2022a). Two major stages, planning and conducting the review, were used. The databases of Elsevier, Springer, IEEE, SAI, Hindawi, MDPI, Wiley, Emerald and Sage were searched to retrieve EDM papers from the period 2017 to 2023. The papers retrieved were then filtered based on the application of DM to the three educational levels – basic, pre-tertiary and tertiary education. Findings EDM is concentrated on higher education. Basic education is not given the needed attention in EDM. This does not enhance inclusivity and equity. Learner performance is given much attention. Resource availability and teaching and learning are not given the needed attention. Research limitations/implications This review is limited to only EDM. Literature from the year 2017 to 2023 is covered. Other aspects of DM and other relevant literature published in EDM outside the research period are not considered. Practical implications As the current trend of EDM shows an increase in zeal, future research in EDM should concentrate on the lower levels of education to identify the challenges of basic education which serves as the core of education. This will enable addressing the challenges of education at an early stage and facilitate getting a quality education at all levels of education. Appropriate EDM techniques for mining the data at this level should be the focus of the research. Specifically, techniques that can cater for the variation in learner abilities and the appropriate identification of learner needs should be considered. Social implications Content sequencing is necessary in facilitating an easy understanding of concepts. Curriculum design from basic to higher education dwells much on this. Identifying the challenge of learning at the early stages will facilitate efficient learning. At the basic level of learning, data on learning should be collected by educational institutions just as it is done at the tertiary level. This will enable EDM to accurately identify the challenges and appropriate solutions to educational problems. Resource availability is a catalyst for effective teaching and learning. The attributes of a learner will enable knowing the true nature of the learner to determine the prospects of the learner. Originality/value This research has not been published in any journal. The information presented is the original knowledge of the authors. However, a pre-print of the work is in Research Square.

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Systematic Review of Data Mining in Education on the Levels and Aspects of Education.

Missah

Inusah

Najim

et al. 2023

Preprint

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The application of Data Mining (DM) in education is helping educational leadership to make informed decisions. This review seeks to identify the pattern of DM research by looking at the levels and aspects of education. As the core of schooling is Basic Education (BE), the research seeks to find out the degree of application of DM at this level to identify the challenges and prepare learners for higher education. The databases of nine (9) top-ranked publishers namely; Elsevier, Springer, Hindawi, Sage, SAI, IEEE, MDPI, Emerald and Wiley are used to identify the most recent and relevant papers in Educational DM (EDM) published from the year 2017 to 2022 specifically applied to a specific level of education. After careful filtering, only ninety-four (94) articles and conference papers were fit for the specification. The investigations revealed that only 7.45% of the published research works in EDM for basic education, 11.70% for pre-tertiary education and an overwhelming 80.85% for the tertiary level. Lower levels of education are marginalized. Also, the available literature on educational DM concentrates on student performance using attributes such as demographic factors, family socio-economic life, school environment, learner behaviour and psychological factors among others neglecting the availability of resources to facilitate quality tuition. The use of pedagogical tools is necessary for learning to improve quality. The research has revealed both a population gag and a knowledge gap.

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[Retracted] The Collection and Utilization of Web Resources for Teaching World History Based on Data Mining Technology

Cited by 3 publications

References 25 publications

Retracted: The Collection and Utilization of Web Resources for Teaching World History Based on Data Mining Technology

Retracted: The Collection and Utilization of Web Resources for Teaching World History Based on Data Mining Technology

A critical review of data mining in education on the levels and aspects of education

Systematic Review of Data Mining in Education on the Levels and Aspects of Education.

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