RETRACTED ARTICLE: A novel flexible data analytics model for leveraging the efficiency of smart education

Ateeq, Karamath; Mago, Beenu; Pradhan, Manas Ranjan

doi:10.1007/s00500-021-05925-9

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…Ateeq K. et al used regression learning to gradually identify the data generated by students on the intelligent platform and proposed a flexible observation data analysis model (FODAM). Data analysis obtains data relevance and provides interactive education services [9]. Huang Q. et al developed a training platform and lab experiments to assist students in better understanding the application of electromagnetism and the new research field of current measurement.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of an Intelligent Cross-Border E-Commerce English Learning Platform Based on a Knowledge Map

Huang,

2024

Int. J. Interact. Mob. Technol.

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At present, most online education platforms still have problems such as single learning modes and loose knowledge structures. Using the knowledge map, the study employs a personalized adaptive intelligent adjustment strategy based on the structural expression of the CBEC English subject system. Firstly, the study uses the Scapy framework to crawl the subject knowledge data. Then use the LTP platform to process sentences containing multiple entities. Input the sentence into the dependency parser to analyze and extract the entity relationship. Finally, according to the relevance between knowledge points and topics in the knowledge map, the final learning path recommendation result is obtained. And cluster the similarity of curriculum content to build a complete curriculum system. Based on the above operations, a knowledge map-based smart learning platform for the CBEC English discipline has been designed and implemented to provide a smart, personalized learning environment for learners. According to the experimental analysis, the average satisfaction of learners with the learning platform designed by the study is 81.56%, which can meet the learning needs of learners and provide an excellent mobile learning environment for students.

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Section: Related Workmentioning

confidence: 99%

Design and Implementation of an Intelligent Cross-Border E-Commerce English Learning Platform Based on a Knowledge Map

Huang,

2024

Int. J. Interact. Mob. Technol.

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“…With the widespread use of information and communication technology, the amount of data that may be transmitted on the smart education platform grows exponentially [39]. When data is scattered over numerous unconnected diverse data systems in institutions, iLMS works closely with the learners serving many learners at a time and tailored according to the individual needs [40].…”

Section: Bd Analytics In Hedmentioning

confidence: 99%

A Proposed Framework for Big Data Analytics in Higher Education

Mago¹,

Khan²

2021

IJACSA

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Students, faculties, and other members of the higher education (HEd) system are increasingly reliant on various information technologies. Such a reliance results in a plethora of data that can be explored to obtain relevant statistics or insights. Another reason to explore the data is to acquire valuable insight regarding the novel unstructured forms of data that are discovered and often found to have a connection with elements of social media such as pictures, videos, Web pages, audio files, etc. Moreover, the data can bring additional valuable benefits when processed in the context of HEd. When used strategically, Big Data (BD) provides educational institutions with the chance to improve the quality of education from all the perspectives and steer students of HEd toward higher rates of completion. Further, this will improve student persistence and results, all of which are facilitated by technology. With this aim, the current research proposes a framework that analyzes the data collected from heterogeneous sources and analyzes using BD analytics tools to do various types of analysis that will be beneficial for different learners, faculties and other members of HEd system. Moreover, current research also focuses on the challenges of acquiring BD from various sources.

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Alleviating educational inequality in math with the aid of online shadow education– the impact of equal access and equal quality mechanisms

Gao,

Luo,

Chen

et al. 2023

Educ Inf Technol

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RETRACTED ARTICLE: A novel flexible data analytics model for leveraging the efficiency of smart education

Cited by 4 publications

References 29 publications

Design and Implementation of an Intelligent Cross-Border E-Commerce English Learning Platform Based on a Knowledge Map

Design and Implementation of an Intelligent Cross-Border E-Commerce English Learning Platform Based on a Knowledge Map

A Proposed Framework for Big Data Analytics in Higher Education

Alleviating educational inequality in math with the aid of online shadow education– the impact of equal access and equal quality mechanisms

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