Intelligent System for the use of the Scientific Research Information System

Benmoussa, Khaoula; Laaziri, Majida; Khoulji, Samira; Kerkeb, M.L.

doi:10.14569/ijacsa.2018.090619

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Scholars have proposed research on this, such as the role that artificial intelligence (AI) can play and is currently playing in addressing global climate change [3].Design a functional framework for agricultural supply chain governance based on blockchain technology [4]. In the context of the rapidly expanding new learning style in the field of artificial intelligence education, design and develop a globally available and powerful SIMRECH intelligent learning system ISSIMA (SIMRECH uses intelligent systems) [5]. The development of digital technology has provided new governance ideas for "carbon peaking and carbon neutrality".…”

Section: Introductionmentioning

confidence: 99%

Bibliometric and Visual Analysis of Mapping in Digital Governance Research

Hong,

Pan,

et al. 2023

Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, Sept

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With the continuous improvement of network connectivity, how to effectively manage digital resources, technologies, and interactions in the network has become a focus of attention for governments, enterprises, organizations, and even the entire society. It is precisely due to such concerns that the concept of "digital governance" has emerged, which is a multidimensional framework that guides digital activities from strategic, ethical, regulatory, and operational perspectives. In addressing issues such as security, privacy, fairness, and responsibility, digital governance includes a series of principles, policies, practices, and mechanisms. In the continuous evolution of the digital landscape, digital governance will play a more important role in various aspects such as society, morality, and law. Under the framework of the new era, we utilized VOSviewer and Bibliometrix software to perform spectral analysis on 277 scientific literature from 2008 to 2023. A study was conducted on four aspects: the co-occurrence of major countries and sources, the co-occurrence of author keywords, factor analysis of strategic coordinate maps and thematic tree maps, and summary. This study is based on the theory of system thinking and knowledge exchange, as a reference for future research.

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Section: Introductionmentioning

confidence: 99%

Bibliometric and Visual Analysis of Mapping in Digital Governance Research

Hong,

Pan,

et al. 2023

Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, Sept

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“…As a product of AI in pedagogy, ICAI can not only fully mobilize students' learning enthusiasm and increase their interest in learning, but also provide personalized teaching according to their own characteristics. Thus, it is conducive to teaching students in accordance with their aptitude, is not limited by time and space, and facilitates the promotion and dissemination of excellent teaching methods [10,11].…”

Section: Introductionmentioning

confidence: 99%

Computer Assisted Instruction System under Artificial Intelligence Technology

Zhang

2021

Int. J. Emerg. Technol. Learn.

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In order to promote the development of intelligent teaching system, artificial intelligence technology is combined with computer assisted instruction (CAI) system to produce intelligent CAI (ICAI), and the design of ICAI is studied in order to facilitate the application and implementation of intelligent teaching system. First, there is an introduction of the basic concepts, related theories, and implementation principles of ICAI. Then, the requirements of ICAI are analyzed in detail on the basis of studying the relevant technologies required by ICAI, including the functional and non-functional requirements. The subsystem is set based on the different needs of the target users (administrator, teacher, and student users). Finally, the general and functional structure of ICAI are designed, and there are tests for the system functions. The results show that the system takes Java Server Pages (JSP) as the development language, Struts2 as the technical framework, and SQL Server 2008 as the back-end database, which realizes a teaching platform mainly for teachers, students, and administrators. After testing, the overall operation of the system is good, and the functional test results of the login module, homework release, and learning resource upload meet the software design requirements. The response time of the system prolongs, the number of users who can’t successfully log in grows, and the utilization of server central procession unit (CPU) and memory utilization both increase, which are caused by the increasing number of concurrent users. The results indicate that the combination of CAI and artificial intelligence (AI) technology can meet students’ online teaching demands, break the time-space limitation of traditional teaching, and provide important reference value for the reform of teaching mode and the improvement of teaching quality

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Ten Essential Pillars in Artificial Intelligence for University Science Education: A Scoping Review

Deroncele-Acosta,

Bellido-Valdiviezo,

Sánchez-Trujillo

et al. 2024

Sage Open

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Although Artificial Intelligence (AI) is notable in education, the studies on its specific application in university science education are still incipient. At the same time, the research demonstrates a critical need to systematize AI pillars to provide a coherent and clear structure to guide the development, implementation, and understanding of this technology in various fields, but very little progress has been made in the field of university science education. Therefore, the present study was aimed at exploring the essential pillars of AI for university science education. This scoping review followed the Arksey and O’Malley methodology, which unfolds five stages; based on established criteria 89 texts were finally selected and included in the study. Ten pillars were found: (1) AI Ethics, (2) AI Didactic Integration (AI-DI), (3) Machine Learning (ML), (4) Deep Learning (DL), (5) Active Learning (AL), (6) Intelligent Prediction (AI-IP), (7) Natural Language Processing (NLP), (8) Augmented reality and Virtual reality (AR/VR), (9) Artificial Neural Network (ANN), and (10) Intelligent Tutoring System (ITS). The study provides a comprehensive synthesis of current trends and advances in this field, highlighting good practices that provide empirical evidence, highlighting ethical, pedagogical, and technical challenges associated with the application of AI in science education, which can contribute to the formation of an aware and ethical educational community in the use of AI.

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Intelligent System for the use of the Scientific Research Information System

Cited by 3 publications

References 11 publications

Bibliometric and Visual Analysis of Mapping in Digital Governance Research

Bibliometric and Visual Analysis of Mapping in Digital Governance Research

Computer Assisted Instruction System under Artificial Intelligence Technology

Ten Essential Pillars in Artificial Intelligence for University Science Education: A Scoping Review

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