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Journal Articles
- 2023
[j7]Daniel Chang
, Vinod K. Gupta, Benjamin Hur, Kevin Cunningham, Jaeyun Sung:
GMWI-webtool: a user-friendly browser application for assessing health through metagenomic gut microbiome profiling. Bioinform. 39(2) (2023)- [j6]Michael Pin-Chuan Lin, Daniel Chang:
CHAT-ACTS: A pedagogical framework for personalized chatbot to enhance active learning and self-regulated learning. Comput. Educ. Artif. Intell. 5: 100167 (2023) - 2021
- [j5]Mladen Rakovic, Philip H. Winne, Zahia Marzouk, Daniel Chang:
Automatic identification of knowledge-transforming content in argument essays developed from multiple sources. J. Comput. Assist. Learn. 37(4): 903-924 (2021) - [j4]Zachary J. Lee, George Lee, Ted Lee, Cheng Jin, Rand Lee, Zhi Low, Daniel Chang, Christine Ortega, Steven H. Low:
Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging. IEEE Trans. Smart Grid 12(5): 4339-4350 (2021) - 2020
- [j3]Michael Pin-Chuan Lin, Daniel Chang:
Enhancing Post-secondary Writers' Writing Skills with a Chatbot: A Mixed-Method Classroom Study. J. Educ. Technol. Soc. 23(1): 78-92 (2020) - 2019
- [j2]Philip H. Winne, Kenny Teng, Daniel Chang, Michael Pin-Chuan Lin, Zahia Marzouk, John C. Nesbit, Alexandra Patzak, Mladen Rakovic, Donya Samadi, Jovita M. Vytasek:
nStudy: Software for Learning Analytics about Processes for Self-Regulated Learning. J. Learn. Anal. 6(2) (2019) - 2012
- [j1]Daniel Chang, Stephen Hines, Paul E. West, Gary S. Tyson, David B. Whalley:
Program Differentiation. J. Circuits Syst. Comput. 21(2) (2012)
Conference and Workshop Papers
- 2024
- [c7]Michael Pin-Chuan Lin, Daniel Chang, Sarah Hall, Gaganpreet Jhajj:
Preliminary Systematic Review of Open-Source Large Language Models in Education. ITS (1) 2024: 68-77 - [c6]Michael Pin-Chuan Lin, Daniel Chang:
Exploring Inclusivity in AI Education: Perceptions and Pathways for Diverse Learners. ITS (2) 2024: 237-249 - 2018
- [c5]Zachary J. Lee, Daniel Chang, Cheng Jin, George S. Lee, Rand Lee, Ted Lee, Steven H. Low:
Large-Scale Adaptive Electric Vehicle Charging. GlobalSIP 2018: 863-864 - [c4]Zachary J. Lee, Daniel Chang, Cheng Jin, George S. Lee, Rand Lee, Ted Lee, Steven H. Low:
Large-Scale Adaptive Electric Vehicle Charging. SmartGridComm 2018: 1-7 - 2016
- [c3]Daniel Chang, Aaron Conover, Stephen Gustafson:
Finding particulate in Finding Dory. SIGGRAPH Talks 2016: 62:1-62:2 - 2013
- [c2]Dzulkifli S. Scherber, Patrick Bidigare, Richard O'Donnell, Matthew Rebholz, Miguel Oyarzun, Charles Obranovich, William Kulp, Daniel Chang, D. Richard Brown III:
Coherent Distributed Techniques for Tactical Radio Networks: Enabling Long Range Communications with Reduced Size, Weight, Power and Cost. MILCOM 2013: 655-660 - 2012
- [c1]Patrick Bidigare, Miguel Oyarzun, David Raeman, Daniel Chang, Dave Cousins, Richard O'Donnell, Charlie Obranovich, D. Richard Brown III:
Implementation and demonstration of receiver-coordinated distributed transmit beamforming across an ad-hoc radio network. ACSCC 2012: 222-226
Informal and Other Publications
- 2020
- [i1]Zachary J. Lee, George Lee, Ted Lee, Cheng Jin, Rand Lee, Zhi Low, Daniel Chang, Christine Ortega, Steven H. Low:
Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging. CoRR abs/2012.02636 (2020)
Coauthor Index
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