GSE Profiles
 | Norma Ming Lecturer Cognition and Development
Office: 4643 Tolman Hall Phone: 510/643-2838 Email: norming at berkeley dot edu Website: |
Staff Contact: Kate Capps
Office: 4533 Tolman Hall
Phone: 510/642-4206
Email: kate at berkeley dot edu
N
orma Ming designs interactive environments to research and support students' learning from comparisons in math and science. The theoretical component of her work blends empirical investigations with models of student cognition to elucidate the mechanisms by which learners coordinate and contrast multiple sources of information. Design goals include building interfaces that facilitate performing and constructing productive comparisons, as well as creating intelligent systems that combine profiles of students' knowledge to promote effective learning and collaboration around comparisons. As training objectives, her research program also seeks to develop teachers' and students' skills at designing comparisons to teach themselves and others. Current projects examine how people compare information across multiple visual representations and between collaborating partners, in the context of learning algebra and chemistry.
A former high school math and science teacher, Norma now combines her teaching and research backgrounds to teach and advise preservice teachers and beginning researchers in the
EMST, SESAME, MACSME, and MUSE graduate programs.
Ph.D. (2006), Carnegie Mellon University, Cognitive Psychology
M.S. (2003), Carnegie Mellon University, Cognitive Psychology
A.B. (1995), Harvard University, Chemistry
Teaching & Teacher Training
Curriculum Development & Evaluation
| 2000 |
iMind Education Systems: Assessment development |
| 2000 |
American Computer Experience: Program evaluation |
| 1999 |
Klingenstein Center / Educational Testing Service: Assessment development |
| 1997-1998 |
ChemQuest: Field testing |
| 1996-2000 |
Molecular Science: Curriculum development, field testing |
| 1996-2000 |
W. M. Keck Math / Science Institute, Crossroads: Curriculum development |
Other Research
Courses and Professional Programs
- Science and Mathematics Education 210: Introduction to Educational and Cognitive Research in Science, Mathematics & Technology
- Science and Mathematics Education 229: Supervised Reading: Review of Educational and Cognitive Research
- Science and Mathematics Education 292: EMST/SESAME Research Seminar and Colloquium
- EDUC 223B: Research group - Learning from Analogies, Comparisons, and Examples
- EDUC 290C 002: Scientific Thinking and Learning
- EDUC 290C 002: Methods for Classroom-Based Research
- EDUC 290C 008: Learning from Analogies, Comparisons, and Examples
- EDUC 290C 009: Conceptual Change & Critical Transitions (part of Spencer Foundation Center for the Study of Critical Transitions
- EDUC 295C: Integrating Technology into Secondary English Instruction
Articles (Refereed Journals, Proceeding)
Lovett, M.C., & Chang, N.M. (2007). Data analysis skills: What and how are students learning? In M. Lovett & P. Shah (Eds.), Thinking with Data: The Proceedings of the 33rd Carnegie Symposium on Cognition (pp. 293-318). Mahwah NJ: Lawrence Erlbaum Associates, Inc.
Chang, N.M., Koedinger, K.R., & Lovett, M.C. (2005). Performance vs. learning: Knowing the right answers for the right reasons. In K. Forbus, D. Gentner, & T. Regier (Eds.), Proceedings of the 26th Cognitive Science Society (p. 1537). Mahwah NJ: Lawrence Erlbaum Associates.
Chang, N.M., Koedinger, K.R., & Lovett, M.C. (2004). The impact of spurious correlations on students' problem-solving. In Y.B. Kafai, N. Enyedy, & W. Sandoval (Eds.), Proceedings of the 6th International Conference of the Learning Sciences. Mahwah NJ: Lawrence Erlbaum Associates.
Chang, N.M., Koedinger, K.R., & Lovett, M.C. (2003). Learning spurious correlations instead of deeper relations. In R. Alterman & D. Kirsh (Eds.), Proceedings of the 25th Cognitive Science Society (pp. 228-233). Boston, MA: Cognitive Science Society.
Wise, J.A., Kubose, T., Chang, N., Russell, A., & Kellman, P.J. (2000). Perceptual Learning Modules in Math & Science Instruction. In P. Hoffman & D. Lemke (eds.), Teaching & Learning in a Network World (pp. 169-176). Amsterdam: IOS Press.
Other Papers/Reports/Op-Eds/Computer Programs
Chang, N.M. (2006). Learning to Discriminate and Generalize through Problem Comparisons. Unpublished doctoral dissertation, Carnegie Mellon University, Pittsburgh PA.
Chang, N. (1999). The Dynamic Response of a Chemical Equilibrium System. In The Assessment Wizard [Computer software]. Princeton NJ: Educational Testing Service.
Invited
Lovett, M.C., & Chang, N.M. "Data-Analysis Skills: What and How are Students Learning?" 33rd Carnegie Symposium on Cognition: Thinking with Data. Pittsburgh, PA. June 2004.
Chang, N.M., Koedinger, K.R., & Lovett, M.C. "What Students Learn from Spurious Correlations." 10th Biennial Conference of European Association for Research on Learning and Instruction (EARLI). Padua, Italy. August 2003.
Papers
Chang, N.M. "What Should Vary When Students Compare Pairs of Problems?" Institute for Education Sciences (IES) Research Conference. Washington DC. June 2006.
Chang, N.M. "When Practice Isn't Perfect: The Distinction between Learning and Performance." 30th Annual Professional and Organizational Development (POD) Network Conference. Milwaukee, WI. October 2005.
Chang, N.M., Koedinger, K.R., & Lovett, M.C. "Performance vs. Learning: Knowing the Right Answers for the Right Reasons." 26th Annual Meeting of the Cognitive Science Society. Chicago IL. August 2004.
Chang, N.M., Koedinger, K.R., & Lovett, M.C. "The Impact of Spurious Correlations on Students' Problem-solving." 6th International Conference of the Learning Sciences (ICLS). Santa Monica CA. June 2004.
Chang, N.M., Koedinger, K.R., & Lovett, M.C. "Learning Spurious Correlations instead of Deeper Relations." 25th Annual Meeting of the Cognitive Science Society. Boston MA. August 2003.
Wise, J.A., Chang, N., & Kuhar, R. "Intuitive Learning through Multiple Representations." TechEd2000 International Conference & Exposition. Palm Springs, CA. March 2000.
Chang, N., & Neuhauser, D. "Refining a quantum-mechanical model of atomic H abstraction from a Si surface." Research Corporation: Partners in Science Conference. Tucson AZ. January 1998.
Russell, A., Wegner, P., Chang, N., & Chapman, O. "Implementing the Molecular Science Curriculum in a Secondary School." 15th International Biennial Conference on Chemical Education (BCCE). Waterloo, Ontario. August 1998.
Jones, L., Ratcliffe, A., Ushakov, A., Chang, N., & Agapova, O. "ChemQuest: Learning High School Chemistry with Inquiry and Technology". 15th International Biennial Conference on Chemical Education (BCCE). Waterloo, Ontario. August 1998.
Chang, N., & Neuhauser, D. "Computer generation of integrals for filter-diagonalization." Research Corporation: Partners in Science Conference. Tucson AZ. January 1997.
Major Projects and Grants
Pittsburgh Science of Learning Center Project Award: "Using Comparisons to Leverage Learning from Chemistry Visualizations"
University of California, Berkeley - Professional Development Grant: "Using Comparisons to Leverage Learning from Algebra Tools"
| 2005-2006 |
American Psychological Association Dissertation Research Award |
| 2003, 2005 |
Professional and Organizational Development (POD) Network Travel Grant |
| 2004-2006 |
Carnegie Mellon University - Program in Interdisciplinary Education Research (PIER) Graduate Fellow |
| 2001-2004 |
Jacob K. Javits Graduate Fellow |
| 2001 |
National Science Foundation: Graduate Fellowship Honorable Mention |
| 1999 |
Klingenstein Center for Independent School Education: Summer Institute Fellow |
| 1996-1998 |
Research Corporation: Partner in Science |
| 1992 |
McDonnell Douglas Corporation Research Intern |
| 1990-1995 |
Harvard-Radcliffe University National Scholar |
Editorial and Review Positions
Statistics Education Research Journal
Zentralblatt für Didaktik der Mathematik
Professional and Organizational Development Network: Menges Award
Cognitive Science Society
University and GSE Service
Member of Undergraduate Education Minor Committee
Professional Affiliations and Memberships
American Association for the Advancement of Science
American Educational Research Association
American Psychological Association
Association for Supervision and Curriculum Development
Cognitive Science Society
International Society of the Learning Sciences
National Council of Teachers of Mathematics
National Science Teachers Association
Professional and Organizational Development Network
Areas of Specialization / Interests
Cognitive Development
Computer-Mediated Learning
Curriculum Development
Educational Media
Experimental Design In Education
Learner-centered Education
Mathematics Education
Professional Development for Educators
Science Education
Simulation Learning Environments
Teacher Education and Certification
Technology and Schools
Last Modified: 10/30/08