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After her graduation, Sharon has worked in EdLab in Teachers College at Columbia University as a post-doctoral innovation fellow. At Columbia, she is also affiliated with the Quantitative Methods in the Social Sciences (QMSS) program as an adjunct Assistant Professor, where she taught a course on Data Visualization and supervises several graduate research projects. Sharon has also served as a tenure-track Assistant Professor in the School of Computing, Informatics & Decision Systems Engineering at Arizona State University in August 2014. | After her graduation, Sharon has worked in EdLab in Teachers College at Columbia University as a post-doctoral innovation fellow. At Columbia, she is also affiliated with the Quantitative Methods in the Social Sciences (QMSS) program as an adjunct Assistant Professor, where she taught a course on Data Visualization and supervises several graduate research projects. Sharon has also served as a tenure-track Assistant Professor in the School of Computing, Informatics & Decision Systems Engineering at Arizona State University in August 2014. | ||
| − | Her interests in computational technologies for learning, open social student modeling and computer science education originate from her formative years at the iSchool at Pitt, where she worked with Dr. Peter Brusilovsky in the Personalized Adaptive Web Systems (PAWS) group. Under Dr. Brusilovsky’s guidance, Hsiao had “an amazing experience” working in the PAWS lab and most enjoyed working “collaboratively and independently” with other students to “produce high quality publications yearly, exchange ideas, share passions and support each other every day.” | + | Her interests in computational technologies for learning, open social student modeling and computer science education originate from her formative years at the iSchool at Pitt, where she worked with Dr. Peter Brusilovsky in the Personalized Adaptive Web Systems (PAWS) group. Under Dr. Brusilovsky’s guidance, Hsiao had “an amazing experience” working in the PAWS lab and most enjoyed working “collaboratively and independently” with other students to “produce high quality publications yearly, exchange ideas, share passions and support each other every day.” Sharon has also been engaged in the Learning Analytics and Educational Data Mining communities serving as program co-chair of [https://educationaldatamining.org/EDM2021/virtual/ EDM 2021 conference. |
== Projects == | == Projects == | ||
Revision as of 02:04, 7 July 2025
Sharon (I-Han) Hsiao
PAWS Alumna, PhD (2012), Assistant Professor and David Packard endowed junior fellow, Department of Computer Science and Engineering, Santa Clara University
Dr. Sharon Hsiao’s is currently an Assistant Professor and David Packard endowed junior fellow, Department of Computer Science and Engineering, Santa Clara University.
After her graduation, Sharon has worked in EdLab in Teachers College at Columbia University as a post-doctoral innovation fellow. At Columbia, she is also affiliated with the Quantitative Methods in the Social Sciences (QMSS) program as an adjunct Assistant Professor, where she taught a course on Data Visualization and supervises several graduate research projects. Sharon has also served as a tenure-track Assistant Professor in the School of Computing, Informatics & Decision Systems Engineering at Arizona State University in August 2014.
Her interests in computational technologies for learning, open social student modeling and computer science education originate from her formative years at the iSchool at Pitt, where she worked with Dr. Peter Brusilovsky in the Personalized Adaptive Web Systems (PAWS) group. Under Dr. Brusilovsky’s guidance, Hsiao had “an amazing experience” working in the PAWS lab and most enjoyed working “collaboratively and independently” with other students to “produce high quality publications yearly, exchange ideas, share passions and support each other every day.” Sharon has also been engaged in the Learning Analytics and Educational Data Mining communities serving as program co-chair of [https://educationaldatamining.org/EDM2021/virtual/ EDM 2021 conference.
Projects
Systems
Research Interests
- Peer Review
- CSCL
- Social Web
- Open Social Student Modeling
- ITS
- Social Visualization
