Big Data X-Learning Resources Integration and Processing in Cloud Environments

Kong, Xiangming

doi:10.3991/ijet.v9i5.3783

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…Therefore, designing a curriculum for teaching MapReduce is crucial for preparing students for careers in big data. Curriculum design for teaching MapReduce can include modules taught in distributed computing courses to upper undergraduate students [1], as well as cloud-based platforms for knowledge sharing and big data [17], [18].…”

Section: Comparison Of Mapreduce With Other Big Data Technologiesmentioning

confidence: 99%

MapReduce Solutions Classification by Their Implementation

et al. 2023

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Distributed Systems are widely used in industrial projects and scientific research. The Apache Hadoop environment, which works on the MapReduce paradigm, lost popularity because new, modern tools were developed. For example, Apache Spark is preferred in some cases since it uses RAM resources to hold intermediate calculations; therefore, it works faster and is easier to use. In order to take full advantage of it, users must think about the MapReduce concept. In this paper, a usual solution and MapReduce solution of ten problems were compared by their pseudocodes and categorized into five groups. According to these groups’ descriptions and pseudocodes, readers can get a concept of MapReduce without taking specific courses. This paper proposes a five-category classification methodology to help distributed-system users learn the MapReduce paradigm fast. The proposed methodology is illustrated with ten tasks. Furthermore, statistical analysis is carried out to test if the proposed classification methodology affects learner performance. The results of this study indicate that the proposed model outperforms the traditional approach with statistical significance, as evidenced by a p-value of less than 0.05. The policy implication is that educational institutions and organizations could adopt the proposed classification methodology to help learners and employees acquire the necessary knowledge and skills to use distributed systems effectively.

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Section: Comparison Of Mapreduce With Other Big Data Technologiesmentioning

confidence: 99%

MapReduce Solutions Classification by Their Implementation

et al. 2023

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“…With the development of mobile internet, intelligent terminals and cloud computing technology, various educational resources have shown explosive growth, data density has increased unprecedentedly, and the big data era is gradually unfolding. At present, big data technology has been widely used in E-learning [3][4][5][6], X-Learning [7] and M-learning [8]. In the big data age, how to make full use of big data technology to obtain resources that meet the personalized needs of users has become a major task of recommendation model for overseas Chinese education.…”

Section: Introductionmentioning

confidence: 99%

Cloud Synergetic Recommendation Model for Overseas Chinese Education by Modeling Multi-Source User Metaphor Information

Huang

2019

Int. J. Emerg. Technol. Learn.

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With the deepening of global economic integration, overseas Chinese education has attracted more and more attention. How to quickly and accurately retrieve resources that meet user's personalized needs has become a key issue in the recommendation model of overseas Chinese education. To solve this problem, a cloud synergetic recommendation model for overseas Chinese education is proposed in this paper. Firstly, a user vector space with fine granularity representation is constructed by introducing multi-knowledge source emotional metaphor information. Secondly, considering the synergetic interaction among various user features, we proposed a synergetic user group recognition method based on synergetic theory. Finally, in order to improve the efficiency of resource acquisition, a recommendation model of Chinese education based on cloud computing is presented. The model proposed in this paper has certain reference significance for overseas Chinese education and online learning model.

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“…It has become a main task to make full use of the big data technology to obtain its inherent huge value in the big data age. Currently, the big data processing has been widely applied in the fields such as mobile internet [5], medical data management [6], biological recognition [7], X-Learning [8],logistic storage [9] and other areas. In the big data age, it is a key and difficult point to accurately and conveniently retrieve the resources that satisfies the users' individual demands from a large pool of Chinese educational resources.…”

Section: Introductionmentioning

confidence: 99%

Personalized Overseas Chinese Education Model Based on Map-Reduce Model of Cloud Computing

Huang

2016

Int. J. Emerg. Technol. Learn.

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Abstract-The rapid updates of the resources and media in the big data age provide new opportunities for oversea Chinese education. It is an urgent task to effectively use the big data to boost the development of oversea Chinese education. However, very few studies are conducted in this area. MapReduce is a programming model of cloud computing used for the parallel computing of the large-scale data sets and this model enables programmers to run their own programs in the distributed system. In this paper we proposed a personalized overseas Chinese education model based on MapReduce mechanism , which can analyze the behavioral habits and personal preferences of users from a large pool of Chinese educational resources. In this way, the customer needs can be accurately grasped and their favorite resources are recommended from huge amounts of resources. The proposed model has a good application prospect for overseas Chinese education .

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Big Data X-Learning Resources Integration and Processing in Cloud Environments

Cited by 5 publications

References 3 publications

MapReduce Solutions Classification by Their Implementation

MapReduce Solutions Classification by Their Implementation

Cloud Synergetic Recommendation Model for Overseas Chinese Education by Modeling Multi-Source User Metaphor Information

Personalized Overseas Chinese Education Model Based on Map-Reduce Model of Cloud Computing

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