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Relevant bibliographies by topics / Chinese character learning

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Journal articles
Dissertations / Theses
Books
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Academic literature on the topic 'Chinese character learning'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Chinese character learning"

1

Yang, Jingying. "On the Content and Training of Chinese Character Learning Strategies." Journal of Education and Educational Research 10, no. 3 (2024): 87–90. http://dx.doi.org/10.54097/gspda873.

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Chinese character learning is a major focus and difficulty in learning Chinese as a second language. In order to learn Chinese characters more efficiently, learners can adopt appropriate Chinese character learning strategies. The article firstly classifies the Chinese character learning strategies in second language acquisition and analyses the main influencing factors of Chinese character learning. Secondly, the target learners of Chinese characters are classified into two categories: Chinese character circle and non-Chinese character circle, and the differences of their Chinese character lea

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Chua, Hui Wen, Hui Ling Lee, Suhaida Omar, Mahama Tohleheng, and Siao Mei Chin. "Malaysian Non-native Chinese Students' Challenges and Learning Strategies in Chinese Characters Learning." EDUCATUM Journal of Social Sciences 8, no. 1 (2022): 67–82. http://dx.doi.org/10.37134/ejoss.vol8.1.7.2022.

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This study investigates the challenges faced by non-native Chinese learners in learning Chinese characters and their learning strategies. This research applied quantitative research, where the questionnaire was delivered at the end of the semester to 370 students of Mandarin level two, selected through convenience sampling. The descriptive analysis showed that most of the students stated that being literate in Chinese characters and learning many Chinese characters was the most challenging act while corresponding between characters and their pronunciations was the least challenging. Next, the

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Kim, Eui-jeong, and Si-yeon Pyo. "Chinese Characters, Self-Directed Learning, Perception of Chinese Characters, Chinese Character Recognition, Classical Chinese Texts." Journal of Chinese Language and Literature 149 (December 31, 2024): 129–54. https://doi.org/10.25021/jcll.2024.12.149.129.

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Kim, Byoung-ju. "A Study on the Chinese Character Education Method for Beginners in Chinese Character: Focused on the Strokes of Chinese characters." Korean Society of Calligraphy 44 (March 30, 2024): 193–216. http://dx.doi.org/10.19077/tsoc.2023.44.7.

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The purpose of this article was to explore new ways of teaching Chinese characters based on the cognitive patterns that learners have in advance. To this end, we identified the cognitive patterns of beginners who first encountered Chinese characters and presented teaching Chinese character and contents to suit their cognitive styles. The learning habits of most beginners who first encountered Chinese characters is familiar with the learning habits of acquiring Hangeul and English. It is very difficult to expand the learning habits by adjusting the existing learning habits. Based on these

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Kim, Byoung-ju. "A Study on the Chinese Character Education Method for Beginners in Chinese Character: Focused on the Strokes of Chinese characters." Korean Society of Calligraphy 44 (March 30, 2024): 193–216. http://dx.doi.org/10.19077/tsoc.2024.44.7.

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The purpose of this article was to explore new ways of teaching Chinese characters based on the cognitive patterns that learners have in advance. To this end, we identified the cognitive patterns of beginners who first encountered Chinese characters and presented teaching Chinese character and contents to suit their cognitive styles. The learning habits of most beginners who first encountered Chinese characters is familiar with the learning habits of acquiring Hangeul and English. It is very difficult to expand the learning habits by adjusting the existing learning habits. Based on these

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Fu, Meiling. "A REVIEW OF RESEARCH ON CHINESE CHARACTER LEARNING EMOTIONS OF CHINESE LEARNERS." Oriental Renaissance: Innovative, educational, natural and social sciences 4, no. 23 (2024): 749–54. https://doi.org/10.5281/zenodo.14167578.

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<em>From the perspective of positive psychology, this paper explores Chinese learners' emotions in learning Chinese characters, focuses on the current situation of Chinese language learning in Central Asia as well as the existing problems, gives reviews and comments on the existing literature to reach the following main conclusions: (1) Learners' positive emotions can promote Chinese character learning and have a positive effect on the overall learning of Chinese language. (2) Central Asian Chinese learners have a good experience of positive emotions in Chinese language learning, but not in Ch

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Dai, Zhenhua, and Jie Yang. "A Multimedia Learning for Chinese Character Image Recognition via Human-Computer Interaction Network." Advances in Multimedia 2022 (May 28, 2022): 1–7. http://dx.doi.org/10.1155/2022/4427091.

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As science and technology continue to develop, Chinese character image recognition technology is being used in a wide range of fields. This computer-based technology is a practical way of automatically recognizing images of text. Typically used in Chinese character education, it provides a new form of human–computer interaction for students. In addition, multimedia technology can provide a rich learning environment for students, which can present information about Chinese characters in the form of pictures, sounds, and videos, thus compensating for the disadvantages of learning Chinese charact

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WANG, YING, and CATHERINE MCBRIDE. "Character reading and word reading in Chinese: Unique correlates for Chinese kindergarteners." Applied Psycholinguistics 37, no. 2 (2015): 371–86. http://dx.doi.org/10.1017/s014271641500003x.

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ABSTRACTWe considered the extent to which learning to read Chinese characters and Chinese words (operationally defined as composed of two or more characters) are different in the present study. Study 1 compared reading of the same characters in isolation and those in the context of known words for 63 Chinese third-year kindergarteners. Results showed that children performed significantly better on reading the same characters when embedded within words than when alone. Study 2 further examined the correlates of single-character reading and two-character word reading for 142 Chinese third-year k

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Wang, Jiaqi. "Research and Analysis of Chinese Character Learning Apps for Foreigners and Construction of the "HanZi Tong" Model." Advances in Education, Humanities and Social Science Research 6, no. 1 (2023): 531. http://dx.doi.org/10.56028/aehssr.6.1.531.2023.

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Based on the theory of self-directed learning and mobile learning, this text explores the research results of foreign Chinese learners and overseas Chinese in the application of Chinese character learning. The text aims to make use of fragmented time to break the time and space, material, and object limitations of Chinese character learning to promote the benign interaction between language technology and language economy. It also applies this approach to the practice of teaching Chinese as a foreign language to explore a new teaching model - the Chinese character learning application model. B

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Chen, Tianxu, and Yali Feng. "Nontransparent Compound Character Learning in L2 Chinese: Does Radical Awareness Always Work?" SAGE Open 10, no. 4 (2020): 215824402096966. http://dx.doi.org/10.1177/2158244020969669.

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Chinese character learning requires various reading subskills, such as radical awareness and character knowledge. Radical awareness refers to learners’ ability to identify, analyze, and apply semantic radicals in compound characters. Previous studies have shown that radical awareness and character knowledge facilitate learning semantically transparent characters. Yet, little is known regarding whether radical awareness plays an active role in the meaning retention for nontransparent characters. The meanings of transparent characters, such as “河” (river) containing the radical “氵” (water), are

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Dissertations / Theses on the topic "Chinese character learning"

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Yu, Xiao Ping. "Chinese Character Challenger : supplementary courseware for assisting students learning Chinese characters /." Link to the online version, 2005. http://hdl.handle.net/10019/1326.

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Yang, Wan Chi (Ada Yang). "The enlightened Chinese characters : a cognitive approach of computer assisted Chinese character learning." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/2428.

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Thesis (MPhil (Modern Foreign Languages))--University of Stellenbosch, 2006.<br>With continuing advances in technology, computer-assisted instruction provides opportunities for individualized, interactive learning. In the research paper, I employed the theoretical framework of CALL and the philosophy of cognitive psychhology to promote learner autonomy in the second language aquisition of Chinese...

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Yu, Xiao Ping (Amy). "CHINESE CHARACTER CHALLENGER 汉字挑战者 Supplementary courseware for assisting students learning Chinese characters". Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/2680.

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Thesis (MPhil (Modern Foreign Languages))--University of Stellenbosch, 2005.<br>In this thesis, I pinpoint the challenge of character learning as my research problem, which is the subsequent motivation to explain the background and rationale of my research. I also discuss the theoretical concepts of Computer Assisted Language Learning (CALL) in relation to cognitive psychology, the constructivist learning theory and Second Language Acquisition theories. This leads to the presentation of my considerations regarding design principles, strategic approach and other relevant decisions. The multime

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Chan, Kam-kong Angus. "Learning Chinese keyboarding skill Cangjie input method /." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B40040100.

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Ye, Lijuan. "Teaching and Learning Chinese as a Foreign Language in the United States: To Delay or Not to Delay the Character Introduction." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/alesl_diss/21.

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The study explored whether or not to delay introducing Chinese characters as part of first year Chinese as a Foreign Language (CFL) courses in post-secondary institutions in the U.S. Topics investigated: a) timing structures of current CFL programs in the U.S.; b) CFL teachers’ and students’ beliefs and rationales of an appropriate timing to introduce characters; c) CFL teachers’ and students’ beliefs about the importance and difficulty of different Chinese language skills; and d) CFL teachers’ and students’ beliefs about the requirement of handwriting in beginning-level CFL courses. Data were

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Wong, Kun-wing Peter. "Breaking the learning barrier of Chinese Changjei input method /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21367875.

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Ayer, Eliot William. "An N-gram enhanced learning classifier for Chinese character recognition." Thesis, California State University, Long Beach, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1524176.

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<p> Fast and accurate recognition of offline Chinese characters is a problem significantly more difficult than the recognition of the English alphabet. The vastly larger set of characters and noise in handwriting require more sophisticated normalization, feature extraction, and classification methods. This thesis explores the feasibility of a fast and accurate classification and translation retrieval system. An ensemble classifier composed of k-nearest neighbors and support vector machines is used as the basis of a fast classifier to recognize Chinese and Japanese characters. In contrast to ot

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Wong, Kun-wing Peter, and 黃冠榮. "Breaking the learning barrier of Chinese Changjei input method." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31961198.

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Lau, Kai-yan Dustin. "Development of sub-character processing and the use of orthographical and phonological memories in learning new Chinese characters in primary school-aged normal readers." Click to view the E-thesis via HKUTO, 2002. http://sunzi.lib.hku.hk/hkuto/record/B3620836X.

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Thesis (B.Sc)--University of Hong Kong, 2002.<br>"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, May 10, 2002." Also available in print.

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Chan, Kam-kong Angus, and 陳錦江. "Learning Chinese keyboarding skill: Cangjie input method." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B40040100.

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Books on the topic "Chinese character learning"

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Singer, H. Kanji, Chinese characters: A systematic approach : Japanese-English character learning dictionary. H. Singer], 1994.

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editor, Chen Xuezhi author, ed. Han zi ji mu: Zi ben wei xue xi fa = Chinese characters : building blocks : character-based learning method. Zheng zhong, 2015.

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OCLC, ed. Learning to use OCLC CJK Plus. 2nd ed. OCLC, 1994.

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Gu, Li-cheng. Picture characters: Learning Chinese characters through pictographs. China Books, 2006.

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Matthews, Alison. Learning Chinese characters: A revolutionary new way to learn and remember the 800 most basic chinese characters. Tuttle Pub., 2007.

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Chinese Character Practice Book: Simple Learning Chinese Characters Workbook for Kids and Beginners - 100 Pages. Independently Published, 2020.

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Learning Chinese Through Group-Character Analyses - Book 1. Sinolingua, 1993.

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Learning Chinese Through Group-Character Analyses - Book 2. Sinolingua, 1993.

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Link, Perry, Ta Tuan Chen, Yih-jian Tai, and Hai-tao Tang. Chinese Primer: Character Text. Princeton University Press, 1994.

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Books, Chinese. Chinese Character Practice Book with Pinyin: Practice Chinese Character Writing and Learn Chinese Alphabet Pinyin - a Tianzige Notebook with Pinyin for Learning Chinese for Beginners. Independently Published, 2021.

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Book chapters on the topic "Chinese character learning"

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Loh, Elizabeth K. Y., Loretta C. W. Tam, Cally P. T. Lau, and Shing On Leung. "How Ethnic Minority Students Perceive Patterns in Chinese Characters: Knowledge of Character Components and Structures." In Chinese Language Learning Sciences. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4089-4_5.

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Singh, Sameer, Adnan Amin, and K. C. Sum. "Chinese Character Recognition-Comparison of Classification Methodologies." In Intelligent Data Engineering and Automated Learning — IDEAL 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45675-9_79.

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Lei, Linda, and Danping Wang. "Novice Chinese Learners’ Character Learning Strategies and Character Skills: A Think-Aloud Study." In Teaching Chinese in the Anglophone World. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35475-5_16.

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Yang, Chao-Yang, Ting-Yi Chiu-Huang, and Yu-Ting Wu. "Effectiveness of Learning Chinese Character Using Tablet Technology." In Universal Access in Human-Computer Interaction. Applications and Services for Quality of Life. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39194-1_32.

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Yu, Jinglei, Jiachen Song, Penghe Chen, and Yu Lu. "An Intelligent Multimodal Dictionary for Chinese Character Learning." In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11647-6_13.

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Zhang, Yu, and Jun Hu. "Development of Chinese Character-Writing Program for Mobile Devices." In Handbook of Mobile Teaching and Learning. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-41981-2_103-1.

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Zhang, Yu, and Jun Hu. "Development of Chinese Character-Writing Program for Mobile Devices." In Handbook of Mobile Teaching and Learning. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2766-7_103.

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Lee, John, and Chak Yan Yeung. "Computer-Assisted Learning for Chinese Based on Character Families." In Information Management and Big Data. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46140-9_28.

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You, Manlai, Yu-Jie Xu, and Cherng Chin. "On Interactive Interfaces for Learning Chinese Character Writing Online." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21657-2_70.

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Jiang, Meixian, Baohua Zhang, Yan Sun, Feng Qiang, and Hongming Cai. "A Transfer Learning Method for Handwritten Chinese Character Recognition." In Computer Supported Cooperative Work and Social Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2540-4_20.

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Conference papers on the topic "Chinese character learning"

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Lingineni, Indira, Sriveni Katmandi, Sravani Mogili, Snigdha Murki, Amruthavarshini Nandelli, and Nazma Begum. "Deep learning approach for Chinese handwritten character recognition." In International Conference on Advances in Photonics Science 2024, edited by Luigi Maxmillian Caligiuri. SPIE, 2025. https://doi.org/10.1117/12.3070377.

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Dong, Boxiang, Aparna S. Varde, Danilo Stevanovic, Jiayin Wang, and Liang Zhao. "Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition." In 2019 IEEE 5th International Conference on Big Data Intelligence and Computing (DATACOM). IEEE, 2019. http://dx.doi.org/10.1109/datacom.2019.00025.

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Yan, Zihao, Sirui Lai, Ruibin Zhang, and Liyun Chen. "Deep Learning-Based Evaluation System for Handwritten Chinese Character Writing Standardization." In 2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE). IEEE, 2024. http://dx.doi.org/10.1109/mlise62164.2024.10674339.

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Lai, Yun. "Online Handwritten Chinese Character Recognition and Real-Time Error Correction Based on Deep Learning and Intelligent System." In 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON). IEEE, 2024. http://dx.doi.org/10.1109/nmitcon62075.2024.10699302.

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Zhang, Zhiding, and Zhenwei Zhang. "Exploration of the Relationship between the Six Methods of Forming Chinese Characters in Shuo Wen Jie Zi and AI Deep Learning of Chinese Characters." In 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI). IEEE, 2024. https://doi.org/10.1109/ricai64321.2024.10911757.

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Kessler, Florian. "Towards Context-aware Normalization of Variant Characters in Classical Chinese Using Parallel Editions and BERT." In Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.ml4al-1.15.

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Yang, Yifan, Leijing Zhou, Rujian Li, Hang Yao, Jialu Song, and Fangtian Ying. "Chinese Character Learning System." In CHI '19: CHI Conference on Human Factors in Computing Systems. ACM, 2019. http://dx.doi.org/10.1145/3290607.3312813.

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Xin, Cai. "Chinese Characters Factory - Design of children's Chinese character construction enlightenment game based on augmented reality technology." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002067.

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China's "13th Five-Year Plan" points out that the development of the industry should adapt to the development trend of multi-media technology. Nowadays, augmented reality and virtual reality technologies have gradually penetrated into our daily life and have had a signiﬁcant impact in many aspects. Since ancient times, there have been many important educational ideas in China. With the development of the Internet, there is a particular focus on the importance of Chinese characters. In recent years, the application of AR design and related research in various ﬁelds of children's education has a

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Wan, Yan, Fengli Ren, Li Yao, and Youan Zhang. "Research on Scene Chinese Character Recognition Method Based on Similar Chinese Characters." In 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2020. http://dx.doi.org/10.1109/mlbdbi51377.2020.00097.

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Cui, Jiaxin, Jiawei Chen, Qinghua Chen, and Fukang Fang. "Emergence in Chinese Character Learning." In 2008 Second International Symposium on Intelligent Information Technology Application (IITA). IEEE, 2008. http://dx.doi.org/10.1109/iita.2008.63.

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