Projects per year
Organization profile
Organization profile
Graduate Institute of Network Learning Technology
Spun off from the Laboratory of Science and Technology for Learning of the Computer Science and Information Engineering Department, the Graduate Institute of Network Learning Technology (NLT) was established in 2002 with a foundation built from the first phase of the 4-year University Pursuit of Academic Excellence Project on Learning Technology started in 2000, supported by the Ministry of Education with a budget US$14 millions. Prior to this project, the original Laboratory of Science and Technology for Learning was awarded the Laboratory of Excellent Research in the area by National Science Council in 1994.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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科技輔助高中生自我導向之自主學習系統發展、實踐與成效評估-子計畫二：科技輔助高中生自我導向科學探究學習之場域實踐與成效評估研究(3/3)
Wu, Y.-T. (PI)
1/08/25 → 31/07/26
Project: Research
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探討人工智慧問答之XoT(Xducationofthings)建置與其對學習者EFL寫作和萬物知識建構的影響(3/3)
Hwang, W.-Y. (PI)
1/08/25 → 31/07/26
Project: Research
Research output
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Enhancing self-regulated learning through intelligent campus information systems with learning navigation mechanism
Liu, I. F. & Hung, H. C., 2026, In: Interactive Learning Environments. 34, 1, p. 182-199 18 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A 3-D Spatial–Spectral–Temporal Deep Regression Model for Improving Mangrove Canopy Height Estimation Through Fusion of Optimized Red-Edge Sentinel-2 Bands and Sentinel-1 SAR Data
Jamaluddin, I., Chen, Y. N., Ayudyanti, A. G., Hui, L. & Fan, K. C., 2025, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18, p. 23967-23992 26 p.Research output: Contribution to journal › Article › peer-review
Open Access -
AI-enhanced structured dataset building for generating meaningful knowledge relationships and diversified questions
Hwang, W. Y., Nguyen, Q. V. & Sun, M. T., 2025, (Accepted/In press) In: Expert Systems with Applications. 129939.Research output: Contribution to journal › Article › peer-review
Datasets
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Full list of critical instructions from Perspective-taking across cultures: shared biases in Taiwanese and British adults
Frisson, S. (Contributor), Tseng, P. (Contributor), Apperly, I. A. (Contributor), Wang, J. J. (Contributor) & Juan, C.-H. (Contributor), figshare Academic Research System, 1 Jan 2019
DOI: 10.6084/m9.figshare.10259930.v1, https://doi.org/10.6084%2Fm9.figshare.10259930.v1
Dataset
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Neurophysiological signatures of hand motor response to dual-transcranial direct current stimulation in subacute stroke: a TMS and MEG study
Kuo, I.-J. (Contributor), Tang, C.-W. (Creator), Tsai, Y.-A. (Contributor), Tang, S.-C. (Creator), Lin, C.-J. (Contributor), Hsu, S.-P. (Contributor), Liang, W.-K. (Contributor), Juan, C.-H. (Creator), Zich, C. (Creator), Stagg, C. J. (Creator) & Lee, I.-H. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.c.5018600.v1, https://springernature.figshare.com/collections/Neurophysiological_signatures_of_hand_motor_response_to_dual-transcranial_direct_current_stimulation_in_subacute_stroke_a_TMS_and_MEG_study/5018600/1
Dataset
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sj-pdf-1-css-10.1177_24705470211006855 - Supplemental material for Task-Modulated Brain Activity Predicts Antidepressant Responses of Prefrontal Repetitive Transcranial Magnetic Stimulation: A Randomized Sham-Control Study
Cheng, C.-M. (Contributor), Tsai, S.-J. (Contributor), Juan, C.-H. (Contributor), Li, C.-T. (Contributor), Bai, Y.-M. (Contributor), Tsai, Y.-C. (Contributor), Su, T.-P. (Contributor) & Chen, M.-H. (Contributor), figshare SAGE Publications, 1 Jan 2021
DOI: 10.25384/sage.14393769.v1, https://doi.org/10.25384%2Fsage.14393769.v1
Dataset
Impacts
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Promote basic knowledge of cognitive neuroscience Share the results of cognitive neuroscience research romote academic exchanges in cognitive neuroscience Cultivate cross-domain cognitive neuroscience talents
Juan, C.-H. (Participant), Chang, C.-H. (Participant), Wu, H. (Participant), Liang, W.-K. (Participant), Hsu, C.-H. (Participant), Hsieh, I.-H. (Participant), Wang, C.-A. (Participant) & Cheng, S.-K. (Participant)
Impact: Social impacts