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I-Ling Cheng
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Journal Articles
- 2023
- [j3]Kuo-Chin Lin
, I-Ling Cheng
, Yin-Cheng Huang, Chun-Wang Wei
, Wei-Lun Chang, Chenhsuan Huang, Nian-Shing Chen
:
The Effects of the Badminton Teaching-Assisted System Using Electromyography and Gyroscope on Learners' Badminton Skills. IEEE Trans. Learn. Technol. 16(5): 780-789 (2023) - 2019
- [j2]Ya-Wen Cheng, Yuping Wang, I-Ling Cheng
, Nian-Shing Chen:
An in-depth analysis of the interaction transitions in a collaborative Augmented Reality-based mathematic game. Interact. Learn. Environ. 27(5-6): 782-796 (2019) - 2016
- [j1]Kinshuk, Nian-Shing Chen, I-Ling Cheng
, Sie Wai Chew:
Evolution Is not enough: Revolutionizing Current Learning Environments to Smart Learning Environments. Int. J. Artif. Intell. Educ. 26(2): 561-581 (2016)
Conference and Workshop Papers
- 2020
- [c5]Sheng-Tai Huang, Yihuang Kang, Shao-Min Hung, Bowen Kuo, I-Ling Cheng:
Topic Diffusion Discovery based on Deep Non-negative Autoencoder. IRI 2020: 405-408 - 2019
- [c4]Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee:
Towards Interpretable Deep Extreme Multi-Label Learning. IRI 2019: 69-74 - 2018
- [c3]Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
:
Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization. IRI 2018: 94-101 - 2016
- [c2]Chia-Ning Hsu, I-Ling Cheng
, Sie Wai Chew, Guan Ying Wu, Chun-Yu Zhu, Pin-Yang Liu, Nian-Shing Chen:
Gesture-Based Learning for Preschooler: A Case Study of Teaching English Alphabet and Body Parts Vocabulary. ICALT 2016: 332-336 - [c1]I-Ling Cheng
, Sie Wai Chew, Yihaung Kang, Weilun Chang, Nian-Shing Chen:
Exploring the Difference in Brain Activities under Three Distinct Tasks: Listening to Music, Gaming, and Learning. ICALT 2016: 493-497
Parts in Books or Collections
- 2019
- [p1]Yu-Jie Zheng, I-Ling Cheng
, Sie Wai Chew, Nian-Shing Chen:
Designing a 3D Board Game on Human Internal Organs for Elementary Students. Data Analytics Approaches in Educational Games and Gamification Systems 2019: 165-184
Informal and Other Publications
- 2020
- [i3]Sheng-Tai Huang, Yihuang Kang, Shao-Min Hung, Bowen Kuo, I-Ling Cheng:
Topic Diffusion Discovery Based on Deep Non-negative Autoencoder. CoRR abs/2010.03710 (2020) - 2019
- [i2]Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee:
Towards Interpretable Deep Extreme Multi-label Learning. CoRR abs/1907.01723 (2019) - 2018
- [i1]Yihuang Kang, Keng-Pei Lin, I-Ling Cheng:
Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization. CoRR abs/1807.04386 (2018)
Coauthor Index
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