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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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action -
SDG 16 Peace, Justice and Strong Institutions
Fingerprint
Dive into the research topics where Graduate Institute of Network Learning Technology is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
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
Research output
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AI-enhanced structured dataset building for generating meaningful knowledge relationships and diversified questions
Hwang, W. Y., Nguyen, Q. V. & Sun, M. T., 1 Mar 2026, In: Expert Systems with Applications. 299, 129939.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
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 -
Integrating the virtual drama-based embodied learning environment with GenAI agents in the classroom to enhance students’ learning effectiveness for career readiness
Liyanawatta, M., Yang, S. H., Cai, M. Y., Yu, S. Y., Wang, J. H., Chang, C. K. & Chen, G. D., Jan 2026, In: Education and Information Technologies. 31, 2, p. 537-566 30 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Datasets
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Task-Modulated Brain Activity Predicts Antidepressant Responses of Prefrontal Repetitive Transcranial Magnetic Stimulation: A Randomized Sham-Control Study
Li, C.-T. (Contributor), Cheng, C.-M. (Contributor), Juan, C.-H. (Creator), Tsai, Y.-C. (Creator), Chen, M.-H. (Contributor), Bai, Y.-M. (Creator), Tsai, S.-J. (Creator) & Su, T.-P. (Contributor), SAGE Journals, 2021
DOI: 10.25384/sage.c.5370522, https://sage.figshare.com/collections/Task-Modulated_Brain_Activity_Predicts_Antidepressant_Responses_of_Prefrontal_Repetitive_Transcranial_Magnetic_Stimulation_A_Randomized_Sham-Control_Study/5370522
Dataset
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Task-Modulated Brain Activity Predicts Antidepressant Responses of Prefrontal Repetitive Transcranial Magnetic Stimulation: A Randomized Sham-Control Study
Li, C.-T. (Contributor), Cheng, C.-M. (Contributor), Juan, C.-H. (Creator), Tsai, Y.-C. (Creator), Chen, M.-H. (Contributor), Bai, Y.-M. (Creator), Tsai, S.-J. (Creator) & Su, T.-P. (Contributor), figshare SAGE Publications, 2021
DOI: 10.25384/sage.c.5370522.v1, https://sage.figshare.com/collections/Task-Modulated_Brain_Activity_Predicts_Antidepressant_Responses_of_Prefrontal_Repetitive_Transcranial_Magnetic_Stimulation_A_Randomized_Sham-Control_Study/5370522/1
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