Ma Yu
ABSTRACT
With the continuous advancement of educational informatization and the rapid development of artificial intelligence, deep learning, as an efficient learning method, will be constantly integrated into the development of higher education. In order to accurately grasp the current research status of deep learning in China, this paper based on the basic principle of scientometrics and information visualization, using VOSviewer information visualization software to comprehensively analyze the research status of 342 core studies in CSSCI database, including time distribution, core authors relationship network, keywords co-occurrence, literature cited network, etc. The results show that the research focuses mainly on five aspects: teaching practice based on traditional deep learning, principle and algorithm of deep learning technology, deep learning based on educational informationization, research on internal mechanism of deep learning, and application of deep learning technology. This result can provide some guidance for future researchers to clarify and carry out their own deep learning research.
- Du Juan, Li Zhaojun, Guo Liwen. 2013. Research on strategies of information-based instructional design to promote deep learning [J]. Audio-visual education research, 34(10): 14--20.Google Scholar
- Deng Sanhong, Fu Yuyangzi, Wang Hao. 2017. Research on multi-label classification of Chinese books based on LSTM model [J]. Data analysis and knowledge discovery, 1(07): 52--60.Google Scholar
- Feng Xiang, Wang Yafei, Wu Yonghe. 2016. New Development of artificial Intelligence Education Application [J]. Modern Education Technology, 28(12): 5--12.Google Scholar
- Fu Jian, Ding Jingda. 2019. Comparison of visualization principles between Citespace and VOSviewer software [J]. Agricultural Books and Information, 31(10): 31--37.Google Scholar
- Jia Zhiguo, Zeng Chen. 2019. Independent Deep Learning: The Fundamental Transformation of Education and Teaching in the New Era [J]. Chinese Journal of Education, (04): 1--5.Google Scholar
- He Ling, Li Jiahou. 2005. Promoting Students' deep learning [J]. Computer Teaching and Learning, (5): 29--30.Google Scholar
- Huang Shuiqing, Wang Dongbo. 2019. Construction, Performance and Application of Word Segmentation Corpus of People's Daily in the New Era (II) ------ Construction of deep Learning Automatic Word segmentation model [J]. Books and Information Work, 63(23):5--12.Google Scholar
- Jin Hui, Hu Yingying, Song Lei. 2017. Technology promotes Innovation in Education------Interpretation of Horizon Report (2017 Higher Education Edition) by New Media Alliance [J]. Journal of distance education, 35(02): 3--8.Google Scholar
- Li Haojun, Zhang Zheng, Guo Haidong, Wang Dan. 2019. Personalized learning resource recommendation method from the perspective of deep learning [J]. Modern distance education research, 31(04): 94--103.Google Scholar
- Li jie. 2018. Principle of scientific knowledge------a beginner's guide for VOSviewer and CitNetExplorer. Beijing: Higher Education Press.Google Scholar
- Li Yuan, Luo Zhigang, Guan Naiyang, Yin Xiaoyao, Wang Bing, Bo Xiaochen, Li Fei. 2016. Application of deep learning in biomedical data analysis [J]. Advances in biochemistry and biophysics, 43(05): 472--483.Google Scholar
- Liang Yingli, Liu Chen. 2018. Current situation analysis, Typical characteristics and development Trend of artificial intelligence education application [J]. China Educational Technology, (03): 24--30.Google Scholar
- Liu Baorui, Wang Yufan. 2018. Research on the Application of Deep Learning Technology in Intelligent Services [J]. Library Science Research, (06): 60--65.Google Scholar
- Liu Xiaoxia. 2019. The current situation, hotspot and trend of the research on "primary school" of early childhood education in China------based on the comprehensive analysis of CiteSpace and VOSviewer [J]. Educational Exploration, (03):23--28.Google Scholar
- Marton F, Sajlo R. 1976. On qualitative differences in learning outcome as a function of the learner's conception of the task [J]. British Journal of Educational Psychology, 46 (2)Google Scholar
- Shen Zhonghua. 2017. New Exploration of Education Big Data and Education Evaluation from the perspective of new technology------Also on the impact of block chain technology on online education evaluation [J]. Journal of distance education, 35(03):31--39.Google Scholar
- Sun Zhijun, Xue Lei, Xu Yangming et al. 2012. A Review of deep Learning Research [J]. Computer Application Research, (8): 2806--2810.Google Scholar
- Wang Dongbo, Gao Ruiqing, Ye Wenhao, Zhou Xin, Zhu Danhao. 2008. Research on Automatic Recognition of Academic Text Structure Functions under Different Features [J]. Journal of Information Science, 37(10):997--1008.Google Scholar
- Wang Jing, Cui Xin. 2008. Research on the Relationship Model Construction between Deep learning Motivation, Strategy and Higher-order thinking Ability [J]. Journal of Distance Education, 36(06):41--52.Google Scholar
- Wang Wenjing. 2012. Practical Exploration of Teaching Mode Reform in China------"Learning-oriented" comprehensive classroom Teaching mode [J]. Journal of Beijing Normal University (Social Science edition), (01):18--24.Google Scholar
- Wu xiujuan, zhang hao. 2015. Experimental research on deep learning based on reflection [J]. Journal of distance education, 33(04):67--74.Google Scholar
- Xu Zhenguo, Zhang Guanwen, Meng Xiangzeng, Dang Tongtong, Kong Xi. Emotional recognition and application of learners based on deep learning [J]. Audio-visual education research, 2019, 40(02): 87--94.Google Scholar
- Yao Qiaohong, Xiu Yuyan, LI Yubin, Chen Xiaoge. 2018. Research on Flipped Classroom integrating Network Learning Space and Learning Scaffolding------Design and Practice for Deep Learning [J]. Distance Education in China, (11):25--33.Google Scholar
- Ye Donglian, Hu Guoqing, Ye Peng-fei. 2019. Design and Practice of Classroom Deep Learning for the Development of Core Literacy------From the perspective of Knowledge depth Model [J]. Modern educational technology, 29(12):35--40.Google Scholar
- Zeng Mingxing, LI Guiping, ZHOU Qingping, Qin Zunyue, XU Hongzhi, ZHANG Binlian, HUANG Yun, GUO Xin. 2015. From MOOC to SPOC: Construction of a Deep Learning Model [J]. China Educational Technology, (11):28--34+53.Google Scholar
- Zhang Hao, Wu Xiujuan. 2012. An Analysis of the Connotation and Cognitive Theoretical Basis of Deep learning [J]. China Educational Technology, (10): 7-11+21.Google Scholar
- Zhang Hao, Wu Xiujuan, Wang Jing. 2014. Objective and Evaluation System Construction of Deep Learning [J]. China Educational Technology, (07):51--55.Google Scholar
- Zhang ning. 2017. Application and latest progress of deep learning in Chinese e-commerce enterprises [J]. China management informatization, 20(01): 149--150.Google Scholar
- Zhang Xiaojuan, Lu Lijie. Construction of deep teaching model pointing to deep learning under SPOC platform [J]. China Educational Technology, 2018(04): 96-101+130.Google Scholar
Index Terms
- Research Status and Hotspot of Deep Learning in China-Based on the VOSviewer Science Map Analysis
Recommendations
Frontiers and Trends of Blended Learning Research in China Based on Visualization Analysis of CNKI Database
In this paper, CiteSpace is used to conduct metrological and visual analysis of the core journals of blended learning research (2003-2021) collected by the China National Knowledge Infrastructure (CNKI). The results show that the number of studies on ...
Collaborative interdisciplinary astrobiology research: a bibliometric study of the NASA Astrobiology Institute
This study aims to undertake a bibliometric investigation of the NASA Astrobiology Institute (NAI) funded research that was published between 2008 and 2012 (by teams of Cooperative Agreement Notice Four and Five). For this purpose, the study creates an ...
Global liposome research in the period of 1995---2014: a bibliometric analysis
In this study, we aim to evaluate the global scientific output of liposome research, and try to find an approach to quantitatively and qualitatively assess the current global research on liposome. Data were based on the science citation index expanded ...
Comments