Kathleen Scalise is a professor at the University of Oregon in the Department of Methodology, Policy and Leadership. Her main research areas are technology-enhanced assessments in science and mathematics education, item response models with innovative item types, dynamically delivered content in e-learning, computer adaptive and multi-stage testing, and applications to equity studies. She serves currently as director of the National Assessment of Educational Progress (NAEP) Science for ETS. Her projects have included research on 21st Century Skills Assessments with Cisco, Intel and Microsoft; STEM Virtual Performance Assessments with Harvard University; and technology-enhanced assessments with Smarter Balanced and NGSS science assessment designs. She has served internationally on OECD’s PISA, and IEA’s eTIMSS and ICILS. She has extensive journal publications and served on the NRC committee report on assessment of the Next Generation Science Standards. She holds K-12 teaching credentials (California) for physical sciences and life sciences, a B.A. in biochemistry, and the Ph.D. from UC Berkeley.
Ph.D., 2004, University of California, Berkeley
Major: Quantitative Measurement
M.A., 2004, University of California, Berkeley
Major: Policy, Organization, Measurement and Evaluation with a disciplinary focus in Cognition
B.A., 1982, University of California, Berkeley
Honors and Awards
2018 Faculty Research Excellence Award, University of Oregon
2017 Journal of Educational Measurement (JEDM) Top Downloaded Publication, “Modeling Data From Collaborative Assessments: Learning in Digital Interactive Social Networks”
2016 Online Learning Journal, 8th Most Downloaded Article for 2016, “Assessment of Learning in Digital Interactive Social Networks: A Learning Analytics Approach ”
2015 Assessment for e-Learning for paper on “Assessment for e-Learning: Case studies of an emerging field”
2014 JCE Most Read Articles 2014, Journal of Chemical Education: “What Does a Student Know Who Earns a Top Score on the Advanced Placement Chemistry Exam?”
2014 ACS Editors' Choice Selection, American Chemical Society
2014 National Council on Measurement in Education, Program Co-Chair
2012 National Association for Research in Science Teaching, Top Five Articles for 2012
2011 U.S. Department of Education, Certification of Recognition for Outstanding Work for the Department’s Race to the Top Assessment Program
2007 Early Career Teaching Award, University of Oregon
De Boeck, P. & Scalise K. (2019). Collaborative problem solving: Processing time, actions, and performance. Frontiers in Psychology 10: 1280, Section: Educational Psychology. Research Topic Title: Advancements in Technology-Based Assessment: Emerging Item Formats, Test Designs, and Data Sources, https://doi.org/ 10.3389/fpsyg.2019.01280.
Scalise, K., & Clarke-Midura, J. (2018). The many faces of scientific inquiry: Effectively measuring what students do and not only what they say, Journal of Research in Science Teaching, Sept. 3 (early release), https://doi.org/10.1002/tea.21464.
Wilson, M, Scalise, K., and Gochyyev, P. (2018). Domain modelling for advanced learning environments: the BEAR Assessment System Software, Educational Psychology, July 24 (early release), https://doi.org/10.1080/01443410.2018.1481934.
Scalise, K., Douskey, M., Stacy, A. (2018). Measuring learning gains and examining implications for student success in STEM, Higher Education Pedagogies, 3(1), 10-22.
Scalise, K., Irvin, P.S., Alresheed, F., Yim, H., Park, S., Landis, B., Meng, P., Kleinfelder, B., Halladay, L., Partsafas, A. (2018). Accommodations in computer based, interactive assessment tasks: Promising practices for enhancing accessibility for students with disabilities, Journal of Special Educational Technology (JOSET), https://doi.org/10.1177/0162643418759340.
Scalise, K. (2018). Next Wave for Integration of Educational Technology into the Classroom: Collaborative Technology Integration Planning Practices, In Griffin, P., & Care,E. (Eds.), Assessment and teaching of 21st century skills, Volume 3 – research & applications. Dordrecht: Springer.
Wilson, M., Scalise, K., & Gochyyev, P. (2018). ICT Literacy in Digital Networks, In Griffin, P., Wilson, M. & Care, E. (Eds.), Assessment and teaching of 21st century skills, Volume 3 – research & applications. Dordrecht: Springer.
Wilson, M., Scalise, K., & Gochyyev, P. (2018). ICT literacy as a 21st century skill: Learning in Digital Networks with Agile Development approaches. In R. W. Lissitz & H. Jiao (Eds.), Technology enhanced innovative assessment: Development, modeling, and scoring from an interdisciplinary perspective. Charlotte, NC: Information Age Publisher.
Wilson, M., Scalise, K., Gochyyev, P. (2017). Modeling data from collaborative assessments: Learning in digital interactive social networks, Journal of Educational Measurement, 54(1), 85-102.
Scalise, K., & Felde, M. (2017). Why neuroscience matters in the classroom: Principles of brain-based instructional design for teachers. Columbus, OH: Pearson, Prentice Hall.
Scalise, K. (2017). Hybrid measurement models for technology-enhanced assessments through mIRT-bayes, International Journal of Statistics and Probability, 6(3), 168-182.
Wilson, M., Scalise, K., & Gochyyev, P. (2016). Assessment of learning in digital interactive social networks: A learning analytics approach. Online Learning Journal, 20(2), DOI: http://dx.doi.org/10.24059/olj.v20i2.799.Wilson, M., Scalise, K., & Gochyyev, P. (2018). Issues Arising in the Context of ICT Literacy Assessment, In Griffin, P., Wilson, M. & Care, E. (Eds.), Assessment and teaching of 21st century skills, Volume 3 – research & applications. Dordrecht: Springer
Scalise, K. (2016). Student collaboration and school educational technology: Technology integration practices in the classroom. Journal on School Educational Technology, 11(4), 39-49.
Scalise, K. (2016). Intellectual capital in the context of STEM assessment, Measurement: Interdisciplinary Research and Perspectives, 14(4), pp. 156–157.
Scalise, K., Mustafic, M., & Greiff, S. (2016). Dispositions for collaborative problem solving. In S. Kuger, E. Klieme, N. Jude & D. Kaplan (Eds.), Assessing context of learningworld-wide (Methodology of educational measurement and assessment series). Dordrecht: Springer.
Wilson, M., & Scalise, K. (2016). Learning analytics: Negotiating the intersection of measurement technology and information technology. In J. M. Spector, B. B. Lockee & M.D. Childress (Eds.), Learning, design, and technology. An international compendium of theory, research, practice, and policy. Dordrecht: Springer.
Professor Scalise’s main research areas are science and mathematics education, including instructional technology and interactive activities in STEM, data science, technology-enhanced measurement and assessment, evidence in simulations and serious gaming including process data, item response models with innovative item types, dynamically delivered content in e-learning, computer adaptive and multi-stage testing, and applications to equity studies. She works in K-16 and also teams as a methodologist with applied researchers in many other areas.