Jie Chao

Learning Scientist at the Concord Consortium

I am a learning scientist with extensive research experience in technology-enhanced learning environments and STEM education. I completed my doctoral and postdoctoral training in Instructional Technology and STEM Education at the University of Virginia. My past research experiences ranged from fine-grained qualitative mental process analysis to large-scale quantitative and longitudinal investigations. I am currently focusing on learning analytics research in open-ended domains such as engineering design and authentic scientific inquiry. With insights in learning sciences and a strong, computationally oriented mindset, I hope to utilize learning analytics to investigate important questions with unprecedented granularity and generate actionable knowledge for the design of technology and curriculum.

Areas of Interest:

Computational Thinking, Mathematical Modeling, Teaching R in K12, STEM Education, Learning Sciences, Learning Analytics


25 Love Lane, Concord, MA, 01742jchao@concord.org(978) 405-3236

Curriculum Vitae

Education

Ph.D. in Instructional Technology & STEM Education 2012.08

University of Virginia, Charlottesville, VA, United StatesDissertation: Phenomenological Primitives in Introductory Computer Science Students’ Understanding of Recursive FunctionDavid Feldon (Chair), Daniel B. Berch, Dan Willingham, James Cohoon

Bachelor of Science, Chemistry 2003.06

Peking University, Beijing, ChinaThesis: Association of Unconjugated Bilirubin with Microparticulates of Calcium Carbonate Synthesized in a Phosphotidyl Choline Vesicle SolutionZhanlan Yang (Advisor)

Professional Appointments

Learning Scientist 2015.01 - present

Concord Consortium, Concord MA, USA

Postdoctoral Research Associate 2012.02 - 2014.12

Department of Curriculum, Instruction, and Special EducationUniversity of Virginia, Charlottesville, VA, USA

Graduate Research Assistant 2009.08 - 2012.05

Center for the Advanced Study of Teaching and Learning in Higher EducationUniversity of Virginia, Charlottesville, VA, USA

Graduate Research Assistant 2007.08 - 2009.08

Department of Science, Technology, & SocietyUniversity of Virginia, Charlottesville, VA, USA

Programme Consultant 2007.05 - 2007.08

Save the Children China Programme, Beijing, China

Marketing Manager 2006.11 - 2007.02

AGOAGE Educational Technology, Beijing, China

Marketing Director 2005.12 - 2006.09

Ladder Digital Education Corp., Beijing, China

Program Manager 2003.07 - 2006.09

Ladder Digital Education Corp. Educational Technology, Beijing, China

Grant-Funded Projects

Current Projects

Principal Investigator, Computing with R for Mathematical Modeling (CodeR4MATH), NSF DRL-1742083, $1,850,959, 2017-2020 (proposal)

Researcher, Integrating Transdisciplinary and Computational Approaches in the Earth Science Curriculum Using Data Visualizations, Scientific Argumentation, and Exploration of Geohazards (GeoCode), NSF DRL-1841928, $666,177, 2018-2021

Researcher, Linking Complex Systems: Promoting Reasoning within and across Interconnected Complex Systems, NSF IIS-1629526, $541,430, 2016-2018

Past Projects

Researcher, Change Makers: Crowdsolving the Energy Challenge through Cyber-Enabled Out-of-School Citizen Science Programs, NSF DRL-1712676, $500,000, 2018-2019

Researcher, Science and Engineering Education for Infrastructure Transformation (SEEIT), NSF DRL-1721054, $2.9M, 2017-2021

Researcher, SmartCAD: Guiding Engineering Design with Science Simulations, NSF DRL-1503196, $2,192,610, 2015-2019

Researcher, Visualizing Chemistry with Infrared Imaging, NSF DUE-1626228, $149,993, 2016-2018

Researcher, Next Step Learning: Bridging Science Education and Cleantech Industry with Innovative Technologies, NSF DRL-1512868, $1,187,365, 2015-2018

Researcher, Big Data: Large Scale Research on Engineering Design Based on Big Learner Data by a CAD Tool, NSF DUE-1348530, $999,921, 2014-2018

Researcher, Mixed-Reality Labs: Integrating Sensors and Simulations to Improve Learning, NSF #1124281, $958,439, 2011-2014.

Researcher, Improving STEM Retention through Instruction: Leveraging Faculty Expertise, NSF #0653160, $830,549, 2007-2010.

Researcher, The Role of Graduate Student Teaching Experiences in the Development of Scientific Research Skills, NSF #0723686, $705,327, 2007-2010.

PUBLICATIONS

Manuscripts under review

Wiedemann, K. T., Chao, J., Galluzzo, B., & Simoneau, E. (2019). Mathematical modeling with R: embedding computational thinking in High Schools. Manuscript submitted for publication.

Chen, G., Xing, W., Huang, X., Chao, J., Massicotte, J., & Xie, C. (2019). Automatic assessment of students' engineering design performance using a Bayesian Network model. Manuscript submitted for publication.

DeJaegher, C. J., Chiu, J. L., Chao, J., & Ryoo, J. H., (2017). Investigating the effect of physical augmentation of virtual laboratories on student learning in secondary science. Manuscript submitted for publication.

Manuscript in preparation

Chao, J., Wiedemann, K., Galluzzo, B., & Simoneau, E. (2019). Computational thinking in mathematical modeling - the understanding and use of variables among novice modelers. Manuscript in preparation.

Chao, J., Xie, C., & Schimpf, C. (2018). Opportunities and challenges of using infrared imaging technology to enhance science learning. Manuscript in preparation.

Peer-Reviewed Journal Articles

Chao, J., Xie, C., Massicotte, J., Schimpf, C., Lockwood, J., Huang, X., & Beaulieu, C. (2018). Solarize Your School: A solar energy system design challenge. The Science Teacher. (Link)

Goldstein, M. H., Purzer, S., Adams, R. S., Chao, J., Xie, C. (2018). The relationship between design reflectivity and conceptions of informed design among high school students. European Journal of Engineering Education, online advanced publication. DOI: 10.1080/03043797.2018.1498458

Feldon, D. F., Franco, J., Chao, J., Peugh J., & Maahs-Fladung, C. (2018). Self-efficacy change associated with a cognitive load-based intervention in an undergraduate biology course. Learning and Instruction, 56, 64-72.

Xie, C., Schimpf, C., Chao, J., Nourian, S., & Massicotte, J. (2018). Learning engineering design through modeling and simulation on a CAD platform. Computer Applications in Engineering Education.

Chao, J., Feldon, D. F., & Cohoon, J. P. (2017). Dynamic mental model construction: a knowledge-in-pieces based explanation for computing students’ erratic performance on recursion. Journal of the Learning Sciences. Advance online publication. DOI: 10.1080/10508406.2017.1392309. (PDF)

Chao, J., Xie, C., Nourian, S., Chen, G., Bailey, S., Goldstein, M. H., Purzer, S., Adams, R. S., & Tutwiler, M. S. (2017). Bridging the design-science gap with tools: Science learning and design behaviors in a simulated environment for engineering design. Journal of Research in Science Teaching, 54(8), 1049-1096.

Chao, J., Chiu, J. L., DeJaegher, C. J., & Pan, E. A. (2015). Sensor-augmented virtual labs: Using physical interactions with science simulations to promote understanding of gas behavior. Journal of Science Education and Technology, 25(1), 16–33. http://doi.org/10.1007/s10956-015-9574-4 (PDF)

Chiu, J. L., DeJaegher, C. J., & Chao, J. (2015). The effects of augmented virtual science laboratories on middle school students’ understanding of gas properties. Computers & Education, 85, 59–73. http://doi.org/10.1016/j.compedu.2015.02.007 (PDF)

Maher, M., Feldon, D., Timmerman, B., & Chao, J. (2014). Faculty perceptions of common challenges encountered by novice doctoral writers. Higher Education Research and Development, 33(4), 699–711.

Cohoon, J. M. G., Wu, Z., & Chao, J. (2009). Sexism: Toxic to women’s persistence in CSE doctoral programs. ACM SIGCSE Bulletin, 41(1), 158–162. ACM. Retrieved from http://portal.acm.org/citation.cfm?id=1508924 (PDF)

Cohoon, J. M., & Chao, J. (2009). Sexism: Toxic to women's persistence in CSE doctoral programs. Computing Research News, 21(1). Retrieved February 9, 2009, from http://www.cra.org/CRN/articles/jan09/cohoon_on_sexism.html.

Yang, Z. L., Soloway, R. D., Chao J., Liu X. B., Zhang L., Wang F., & Wu J. G. (2004). Association of Unconjugated Bilirubin with Microparticulates of Calcium Carbonate Synthesized in a Phosphotidyl Choline Vesicle Solution. Gastroenterology, 126(4): A234-A234 Suppl. 2, APR 2004.

Book Chapters

Pan, E. A., Chiu, J. L., & Chao, J. (2014). Mixed-reality labs: Combining sensors and simulations to improve STEM education. In R. E. Yager & M. A. Mullinnix (Eds.), Exemplary STEM programs: Designs for success. Arlington, VA: NSTA Press.

Conference Presentations

Chao, J., Galluzzo, B. J., & Simoneau, E. (2019, April). CodeR4MATH: Become power modelers via intuitive coding with R. Workshop presented at the annual meeting of the National Council of Teachers of mathematics, San Diego, CA.

Staudt, C., Chao, J., Lee, H-S., Klopfer, E., Dorsey, C., Wendel, D., & Roderick, S. (2019, April). Linking Agent-Based and Systems Dynamics Modeling Practices. Paper presented at the annual international conference of the National Association of Research in Science Teaching, Baltimore, MD.

Bywater, J. P., Chiu, J. L., Floryan, M., Chao, J., Schimpf, C., Xie, C., Vieira, C., Dasgupta, C., & Magana, A. J. (2018). Using machine learning techniques to capture engineering design behaviors. Proposal submitted to the International Conference of the Learning Sciences, London, UK.

Chao, J., Simoneau, E., & Galluzzo, B. J. (2018). Computing with R for mathematical modeling: Infuse computational thinking into math classrooms through math modeling with R. Poster presented at the National Science Foundation Discovery Research PreK-12 PI Meeting, Washington, D.C. (PDF)

Xie, C., Chao, J., Huang, X., Massicotte, J., & Schimpf, C. (2018, April). Global lab 2.0: The virtual solar grid. Poster to be presented at the annual meeting of the American Educational Research Association, New York, NY.

Dasgupta, C., Magana, A. J., & Chao, J. (2017, June). Investigating teacher’s technological pedagogical content knowledge in a CAD-enabled learning environment. Paper to be presented at the annual conference and exposition of the American Society for Engineering Education, Columbus, OH.

Chao, J., Xie, C., Schimpf, C., Massicotte, J., & Nourian, S. (2017, April). Empowering students to be change makers with innovative design tools. Paper presented at the annual international conference of the National Association of Research in Science Teaching, San Antonio, TX. (PPT)

Chao. J., & Xie, C. (2017, April). Assessing systems thinking using a design improvement task and CAD logs. Paper presented at the annual international conference of the National Association of Research in Science Teaching, San Antonio, TX. (PPT)

Williams, D. N., McCulloch, C., Chao, J., Danahy, E., & McGinnis-Cavanaugh, B. (2016, October). Engineering for every K-12 student: Leveraging resources, supporting collaboration. Panel presentation at the Massachusetts Science Education Leadership Conference, Marlborough, MA. (PPT)

Adams, R. S., Goldstein, M., Purzer, Ş., Chao, J., Xie, C., & Nourian, S. (2016). Traversing the barriers to using big data in understating how high school students design. In Design Computing and Cognition '16 (pp. 613-631). Springer, Cham. (PDF)

Chao, J., Xie, C., Chen, G., Nourian, S., Goldstein, M. H., Purzer, S., & Adams, R. S. (2016, April). Assessing informed design strategies using CAD logs. Paper presented at the annual international conference of the National Association of Research in Science Teaching, Baltimore, MD. (PPT)

Chao, J., Chiu, J. L., & DeJaegher, C. J. (2015, April). Effects of user interface on simulation-based science learning: Tangible user interface versus graphical user interface. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL.

DeJaegher, C. J., Chiu, J. L., & Chao, J. (2015, April). Sensor-augmented virtuality laboratories: Investigating the impact of user interface on student learning in secondary science. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL.

Chao, J., Chiu, J. L., Pan, E. A., DeJaegher, C. J., Hazzard, E., & Xie, C. (2014, April). Sensor-augmented virtual labs: Using physical interactions to promote understanding of complex science concepts. Paper presented at the annual meeting of the American Educational Research Association, Philadelphia, PA. (PDF)

DeJaegher, C. J., Chiu, J. L., & Chao, J. (2014, June). Design principles for science laboratory instruction using augmented virtual technologies. Poster presented at the annual meeting of the International Conference of the Learning Sciences, Boulder, CO.

Chao, J., Chiu, J. L., DeJaegher, C. J., Hazzard, E., & Xie, C. (2013, April). The effects of mixed reality labs on students’ conceptual understanding, cognitive load, and epistemology of science. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA. (PPT)

Chao, J., Feldon, D. F., & Cohoon, J. P. (2013, April). Phenomenological primitives in introductory computer science students’ understanding of recursion. Paper presented at the annual meeting of the American Education Research Association, San Francisco, CA. (PPT)

Feldon, D. F. & Chao, J. (2013, August). Analysis of experts' omissions during instruction: impacts on student learning and motivation. Paper presented at the 15th bienniel EARLI conference for Research on Learning and Instruction, Munich, Germany.

Feldon, D. F., Chao, J., & Muniraj, D. (2013, April). The effects of cognitive task analysis-based instruction on students’ motivation in undergraduate biology course. Paper presented at the annual meeting of the American Education Research Association, San Francisco, CA.

Maher, M. A., Feldon, D. F., Timmerman, B. C., & Chao, J. (2013, April). Learning to write for publication: Exposing common challenges encountered by novice doctoral writers. Paper presented at the annual meeting of the American Education Research Association, San Francisco, CA.

Chao, J., & Hurst, M. (2012, April). How attributes of researcher identity function and develop in STEM graduate student development. Paper presented at the annual meeting of the American Educational Research Association, Vancouver, British Columbia, Canada.

Chao, J., & Feldon, D. F. (2012, March). Explaining students’ inconsistent performance on recursive programming. Poster presented at the University of Virginia Presidential Research Poster Competition (finalist), Charlottesville, VA.

Feldon, D. F., Chao, J., Stowe, K. A., & Showman, R. (2011, March). The effects of cognitive task analysis-based instruction on students’ retention and achievement in undergraduate biology course. Poster finalist presented at the University of Virginia Presidential Inauguration Research/Scholarship Poster Competition, Charlottesville, VA.

Feldon, D. F., & Chao, J. (2012, February). The effects of Cognitive Task Analysis-based instruction on students’ achievement and retention in undergraduate biology course. Paper presented at the 4th annual Conference on Higher Education Pedagogy, Blacksburg, VA.

Chao, J. (2011, January). Intuit the counter-intuitive: Phenomenological primitives in understanding of recursion & Intuition-and-Analogy-based instructional cure. Paper presented at the 2nd annual Curry Research Conference, Charlottesville, VA.

Chao, J., & Cohoon, J. M. (2010). Can I really complete this CSE doctoral degree? Women’s confidence and self-rated abilities. In 2010 IEEE Frontiers in Education Conference (FIE) (p. F2H–1–F2H–7). http://doi.org/10.1109/FIE.2010.5673647

Searson, M., Bull, G., Chao, J., & Ma, J. (2008). China: Education 2.0 Tour - Applications and Effects of Virtual Tour to International Communication in Educational Technology. In K. McFerrin et al. (Eds.), Proceedings of Society for Information Technology and Teacher Education International Conference 2008 (pp. 2393-2394). Chesapeake, VA: AACE.

Other publications

Chao, J. (2019). Integrating computational thinking in STEM. @Concord. (Link)

Chao, J. (2018). Monday’s lesson: Finding median in R the common core way. @Concord, 22(1), 7. (Link)

Chao, J. (2018), Everyday inquiry with R: Is Yogurt-X expensive? Concord Consortium Blog. (Link)

Reviewers

Journal of Science Education and Technology

Journal of the National Academy of Inventors