Open Digital Educational Resources for Self-Training Chemistry Lab Safety Rules

Camel, Valérie; Maillard, Marie‐Noëlle; Descharles, Nicolas; Roux, Even Le; Cladière, Mathieu; Billault, Isabelle

doi:10.1021/acs.jchemed.0c00094

Cited by 20 publications

(16 citation statements)

References 16 publications

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“…In addition, personalized recommendation technology can ensure the quality of resource recommendation and improve resource utilization. In this context, some scholars have put forward some practical methods [4].…”

Section: Introductionmentioning

confidence: 99%

A Personalized Recommendation System for English Teaching Resources Based on Multi-K Nearest Neighbor Regression Algorithm

Tang¹,

Yu²

2022

Security and Communication Networks

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In order to ensure the quality of resource recommendation and solve the problems of low recommendation accuracy, long recommendation time, and high data loss rate in the process of resource recommendation in traditional methods, a personalized recommendation system of English teaching resources based on the multi-K nearest neighbor regression algorithm is designed. According to the overall architecture of the personalized recommendation system of teaching resources, this study designs the resource browsing function module, teaching resource detailed page recommendation module, and teaching resource database. Based on the basic idea of the multi-K nearest neighbor regression algorithm, in order to avoid the loss of important data in English teaching resource recommendation and reduce the data loss rate, a missing data reconstruction algorithm of English teaching resources is proposed. Finally, the path interest of student users is considered from the selection of browsing path and access time to realize the personalized recommendation of English teaching resources. The experimental results show that the system has high resource recommendation accuracy, short recommendation time, and low data loss rate.

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Section: Introductionmentioning

confidence: 99%

A Personalized Recommendation System for English Teaching Resources Based on Multi-K Nearest Neighbor Regression Algorithm

Tang¹,

Yu²

2022

Security and Communication Networks

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“…If protective measures are not in place, the injury of operators will be worse [ 55 ]. In addition, compared with chemical laboratories where operators are required to wear appropriate laboratory coats, operators in civil engineering laboratories do not have special clothing [ 66 , 67 ]. Therefore, the operators should wear appropriate individual protective equipment when entering the laboratory [ 68 ].…”

Section: Discussionmentioning

confidence: 99%

Assessing the Safety Risks of Civil Engineering Laboratories Based on Lab Criticity Index: A Case Study in Jiangsu Province

Zhang

Peng

et al. 2020

IJERPH

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With the rapid development of the construction industry, an increasing amount of attention were paid by universities to the development of civil engineering experiment courses so as to improve the practical research abilities of students. In recent years, due to the frequent occurrence of civil engineering laboratory accidents, it has become an urgent issue regarding on what factors influencing safety risks and how to assess and reduce the safety risks in civil engineering laboratories. Based on the lab criticity index (LCI) model, the research specificities of civil engineering laboratories were analyzed through literature review and expert interviews and 13 risk factors of civil engineering laboratories, from the four aspects of man, object, management, and environment, identified. The data for each parameter in the LCI model was obtained through a questionnaire survey, and finally the LCI value was calculated to evaluate priority. Among them, insufficient safety awareness of operators, danger due to equipment failure, imperfect management policies, and complex floor conditions were listed as the most common risk factors. Based on the LCI model, the worsening factors of these four risk factors were further analyzed. The LCI model is applied to the new research field of safety risk assessment in civil engineering laboratories that few researchers have studied before and a risk list for civil engineering laboratories was created. We revealed the safety status of civil engineering laboratories in Jiangsu Province and provided feasible suggestions for improving the management and supervision of civil engineering laboratories at universities. It can strengthen operator awareness of the risks in civil engineering laboratories and improve the social group’s attention to the safety risks of the laboratories, thus reducing the accidents’ possibility and seriousness of civil engineering laboratories.

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“…e model constructs the description rules of the core elements of the process definition language based on extensible markup language to realize the multidisciplinary design optimization process and information. It can be seen that the research of process ontology is closely related to application, but the process ontology constructed in different application fields is also different in representation and structure [36].…”

Section: Overview Of Applied Mathematics Educationmentioning

confidence: 99%

Research on Mining of Applied Mathematics Educational Resources Based on Edge Computing and Data Stream Classification

Zhou²

2021

Mobile Information Systems

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Facing the massive data of higher education institutions, data mining technology is an intelligent information processing technology that can effectively discover knowledge from the massive data and can discover important information that people have previously ignored from the huge data information. This article is dedicated to the development of applied mathematics education resource mining technology based on edge computing and data stream classification. First of all, this article establishes a resource system architecture suitable for existing applied mathematics education through edge computing technology, which can effectively improve the efficiency of data mining. Secondly, the data stream classification algorithm is used for information extraction and classification integration of massive applied mathematical education data. This method provides potential and valuable information for decision-makers and education practitioners. Finally, the simulation and performance test of the system verify that it has the functions of mathematical information mining and data processing. This system will provide strong support for applied mathematics education reform.

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Open Digital Educational Resources for Self-Training Chemistry Lab Safety Rules

Cited by 20 publications

References 16 publications

A Personalized Recommendation System for English Teaching Resources Based on Multi-K Nearest Neighbor Regression Algorithm

A Personalized Recommendation System for English Teaching Resources Based on Multi-K Nearest Neighbor Regression Algorithm

Assessing the Safety Risks of Civil Engineering Laboratories Based on Lab Criticity Index: A Case Study in Jiangsu Province

Research on Mining of Applied Mathematics Educational Resources Based on Edge Computing and Data Stream Classification

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