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A Discussion of Artificial Intelligence in Visual Art Education
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作者 Joanna Black Tom Chaput 《Journal of Computer and Communications》 2024年第5期71-85,共15页
Since ChatGPT emerged on November 30, 2022, Artificial Intelligence (AI) has been increasingly discussed as a radical force that will change our world. People have become used to AI in which such ubiquitous technologi... Since ChatGPT emerged on November 30, 2022, Artificial Intelligence (AI) has been increasingly discussed as a radical force that will change our world. People have become used to AI in which such ubiquitous technologies as Siri, Google, and Netflix deploy AI algorithms to answer questions, impart information, and provide recommendations. However, many individuals including originators and backers of AI have recently expressed grave concerns. In this paper, the authors will assess what is occurring with AI in Visual Arts Education, outline positives and negatives, and provide recommendations addressed specifically for teachers working in the field regarding emerging AI usage from kindergarten to grade twelve levels as well as in higher education. 展开更多
关键词 visual Art education Art education Artificial Intelligence AI Generative Artificial Intelligence GAI Art Teaching and Learning Art Pedagogy Art Curriculum Development Digital Art education ART Art education Critical Literacy
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Towards a better understanding of the role of visualization in online learning:A review 被引量:1
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作者 Gefei Zhang Zihao Zhu +2 位作者 Sujia Zhu Ronghua Liang Guodao Sun 《Visual Informatics》 EI 2022年第4期22-33,共12页
With the popularity of online learning in recent decades,MOOCs(Massive Open Online Courses)are increasingly pervasive and widely used in many areas.Visualizing online learning is particularly important because it help... With the popularity of online learning in recent decades,MOOCs(Massive Open Online Courses)are increasingly pervasive and widely used in many areas.Visualizing online learning is particularly important because it helps to analyze learner performance,evaluate the effectiveness of online learning platforms,and predict dropout risks.Due to the large-scale,high-dimensional,and heterogeneous characteristics of the data obtained from online learning,it is difficult to find hidden information.In this paper,we review and classify the existing literature for online learning to better understand the role of visualization in online learning.Our taxonomy is based on four categorizations of online learning tasks:behavior analysis,behavior prediction,learning pattern exploration and assisted learning.Based on our review of relevant literature over the past decade,we also identify several remaining research challenges and future research work. 展开更多
关键词 visualization in education Online learning visual analytics
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New trends in China's science and education evaluation research under the background of“Breaking the Five- only”
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作者 Wei Gong Tingxiao Wen 《Data Science and Informetrics》 2021年第4期47-60,共14页
Based on the background of the special clean-up action of"Breaking the Five-only",this paper combs the relevant policies of domestic science and education evaluation.Using CiteSpace and VOSviewer scientific ... Based on the background of the special clean-up action of"Breaking the Five-only",this paper combs the relevant policies of domestic science and education evaluation.Using CiteSpace and VOSviewer scientific measurement software,this paper makes a visual analysis on the related domestic research of the"Five-only"and"science and education evaluation",and expounds the frontier hot spots and trends of science and education evaluation research in China.Based on this,this paper summarizes the countermeasures and suggestions on how to"break"the"Five-only"and how to"establish"the"new system of science and education evaluation",in order to provide a reference for the sustainable and healthy development of science and education evaluation in China. 展开更多
关键词 "Breaking the Five-only" Evaluation of science and education Academic evaluation Science and education evaluation policy visualization
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