Titlebook: Computer Science and Education; 17th International C Wenxing Hong,Yang Weng Conference proceedings 2023 The Editor(s) (if applicable) and T

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招待

https://doi.org/10.1007/978-94-010-0320-9 Chinese in this city.?It was proposed that by collecting a large amount of sample data and using machine learning technology to adjust indicators and weights, an optimal formula, that is, the most stable language vitality prediction model, can be obtained. This predictive model can be used to predict the future language vitality.

平

Research on Multi-dimensional Bilingual Teaching Model of Computer Courses Supported by Artificial Imulti-dimensional teaching mode of computer courses through the support of Artificial Intelligence. It analyzes the teaching resources, learning services, teaching process and teaching means involved in computer course teaching. Taking the course of “Computer Introduction” as an example, this study

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摘要記錄

Exploring the Association Between Computational Thinking and Cognitive Abilities of Elementary Stude there is still a lack of consensus on the definition of CT. Aligned with recent empirical studies where the conception of CT was extended to other cognitive domains, more research can be done to enrich the nomological framework of CT. This study aims to unravel the relationship between CT and cogni

秘密會議

Research on the Integration of Digital Literacy Education and Writing Education in Vocational Colleggram of Action for Improving the Digital Literacy and Skills of the Whole People, aiming to improve the digital literacy of the whole people and meet the needs of the development of times. As a higher vocational college cultivating high quality technical talents in the era of digital economy, it is

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Improving Information Literacy of Engineering Doctorate Based on Team Role Model needs and innovations of the respective industrial sector. Based on the six core concepts of The Framework of Information Literacy in Higher Education, this paper extracted the specific requirements for the literacy of engineering doctoral students, and proposed to improve their information literac

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粘土

Withdrawals Prediction in?Virtual Learning Environments with?Deep Self-paced Learningrms. Classic machine learning approaches lack sufficient expression ability. Deep learning methods are inclined to get stuck in the local minimum. In addition, there is not any public source code platform to comprehensively compare all the baselines. In this paper, we propose a new Withdrawals Predi

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