Biography
| Dr. Zhongzhou Chen earned his Ph.D. in physics from University of Illinois Urbana Champaign in 2012, specializing in physics education and multimedia learning. In 2013 he joined the RELATE group at MIT as a postdoc, conducting educational research in Massive Open Online Courses (MOOCs) on the edX platform, mentored by Prof. David Pritchard. |
Research Areas
| My research focus on utilizing cutting-edge technology, especially Artificial Intelligence and Machine learning, to develop novel STEM instructional and assessment tools and quantitatively measure their impact on students learning behavior and learning outcome. More recently I’m interested in rethinking, redesigning and reforming physics and STEM education in the era of Generative AI.
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Research Opportunities for Students
Students who are interested in the intersection of technology, education and science(physics) are always welcome to contact me.
Research in this group is especially suitable for students who has one or more of the following:
Information on requirements
Currently accepting: Yes
Graduate: Yes
Undergraduate: Yes
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- Is it Paid? Yes
- In a lab? No
- Prerequisites: Able to quickly grasp and use new technology.
- Learning materials: N/A
Publications
SELECTED PUBLICATIONS:
Physics and Online Education:
Alexandron, G., Antonio Ruiperez Valiente, J., Chen, Z., & Pritchard, D. E. (2016). Using Multiple Accounts for Harvesting Solutions in MOOCs. Proceedings of the Third ACM Conference on Learning @ Scale, 63–70. http://doi.org/10.1145/2876034.2876037
Chen, Z., Chudzicki, C., Palumbo, D., Alexandron, G., Choi, Y.-J., Zhou, Q., & Pritchard, D. E. (2016). Researching for better instructional methods using AB experiments in MOOCs:Results and Challenges. Research and Practice in Technology Enhanced Learning, 11(9). http://doi.org/10.1186/s41039-016-0034-4
Chen, Z., & Gladding, G. (2014). How to make a good animation: A grounded cognition model of how visual representation design affects the construction of abstract physics knowledge. Physical Review Special Topics – Physics Education Research, 10(1), 10111. http://doi.org/10.1103/PhysRevSTPER.10.010111
Chen, Z., Lou, J., Zhu, C., & Schulten, K. (2008). Flow-induced structural transition in the beta-switch region of glycoprotein Ib. Biophysical Journal, 95(3), 1303–1313. http://doi.org/10.1529/biophysj.108.132324
Chen, Z., Ma, C. R., & Ma, Y. L. (2006). Vortex lattices in fast rotating Bose-Einstein condensates between the Thomas-Fermi and the lowest-Landau-level regimes. Physical Review A – Atomic, Molecular, and Optical Physics, 74(5), 1–4. http://doi.org/10.1103/PhysRevA.74.055602
Chen, Z., Stelzer, T., & Gladding, G. (2010). Using multimedia modules to better prepare students for introductory physics lecture. Physical Review Special Topics – Physics Education Research, 6(1), 10108. http://doi.org/10.1103/PhysRevSTPER.6.010108
Chudzicki, C., & Chen, Z. (2015). Learning Experiments Using AB Experiments at Scale. In Second (2015) ACM Conference on Learning@ Scale (pp. 405–408).
Tanner, D. E., Ma, W., Chen, Z., & Schulten, K. (2011). Theoretical and computational investigation of flagellin translocation and bacterial flagellum growth. Biophysical Journal, 100(11), 2548–2556. http://doi.org/10.1016/j.bpj.2011.04.036
Zou, X., Liu, Y., Chen, Z., C??rdenas-Jir??n, G. I., & Schulten, K. (2010). Flow-induced ??-hairpin folding of the glycoprotein ib?? ??-switch. Biophysical Journal, 99(4), 1182–1191. http://doi.org/10.1016/j.bpj.2010.05.035
Courses Taught
- PHY 2048
- ISC 5404/4405
