Katherine S. Moore
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EDUCATION        
Ph.D. in Cognitive Science in Education, Teachers College, Columbia University        2017 - 2021
M.A.. in Middle Childhood Special Education, Pace University                                  2007 - 2010
B.A. in Anthropology, Barnard College, Columbia University                                    2003 - 2007

​RESEARCH EXPERIENCE
Research Scientist, Scheller Teacher Education Program (STEP) Lab, MIT                 2021 - present

    Everyday AI (EdAI) For Youth (NSF Award # 2048746)                    
  • Developed a new version of an AI curriculum for middle school students, called the Developing AI Literacy (DAILy) 2.0. Through co-design with teachers, I transformed an original collection of activities into a coherent curriculum by…  
    • conducting over 80 teacher interviews, 
    • training field investigators to conduct over 25 observations of teacher classroom implementation, and 
    • co-organizing 2 annual national teacher curriculum Hack-a-thons.
  • Established an effective model for developing in-service middle school teacher AI literacy and pedagogical knowledge through a two stage process that introduces teachers to AI concepts, then, allows teachers time to practice teaching AI in authentic classroom settings. I established effectiveness by… 
    • leading the EdAI teacher PD for 65 teachers across 5 states: FL, IL, VA, NY, and NM
    • coordinating 22 teacher practicums / summer camps for teachers to practice teaching AI concepts, and
    • co-leading analysis of teacher (n=65) and student (n=519) learning outcomes.
     Preparing Students for Careers in Machine Learning (NSF Award # 2049022)
  • Established a novel machine learning concept inventory (ML-CI) and assessment for high school students by… 
    • developing and implementing 6 cognitive interviews and 35 retrospective exit interviews
    • facilitating interviews with 9 machine learning experts to establish content validity, and
    • performing analysis using item response theory (IRT) and confirmatory factor analysis (CFA)
  • Co-developed and empirically tested the impact of a novel machine learning curriculum on high school student learning of machine learning concepts and skills - including foundational concepts in linear regression, decision trees, principal component analysis, and artificial neural networks - by… 
    • performing a mixed method analysis of student surveys (n=77), student interviews (n=35), and classroom observations in the informal learning environment of a museum education setting

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GRANTS & AWARDS
NSF ITEST SEI Everyday AI for Rural Youth and Teachers, NMSU (Co-PI)                under review
Doctoral Research Fellowship, Teachers College, Columbia University                      2020 - 2021
College Scholarship, Teachers College, Columbia University                                    2019 - 2020
Playful Journey Lab Summer Fellowship, Massachusetts Institute of Technology       2019
Smith Learning Theater Research Award, Teachers College, Columbia University      2017
Selected to Participate in the Teach to Lead Summit                                             2016
Teacher Power Ignition Grant                                                                             2015


TEACHING EXPERIENCE 
Course Instructor, 6.S062 | MAS.S10/S60 Generative AI for K12 Education, MIT                                     2023 - present
  • Co-designed (and currently teaching) a new course for MIT undergraduates and graduates. The course introduces generative AI concepts in the context of K12 education through project-based learning, coding assignments (using python colabs), hands-on introductions to equitable educational technology design methods, and panel discussions with current educators in the field grappling with generative AI.

Lead Professional Development Coach, Center for Professional Education of Teachers, Teachers College    2019 - 2021
  • Led workshops and coached 12 teachers of Special Education, English Language Learners, and/or STEM education across Manhattan, Queens, and the Bronx. Coaching involved classroom observations as well and video reflection and goal-setting activities for teachers in 1:1 or small group meetings.

Teaching Associate for Natural Language Processing and Machine Learning, SIPA, Columbia University      2019 - 2021
  • Performed the duties of a teaching assistant - including co-teaching, grading, hosting office hours, and creating python colabs -  for the introductory course on Natural Language Processing for graduate students enrolled in the School of International and Public Affairs (SIPA).

Middle School Science Teacher, Environmental Charter School, Pittsburgh                                               2015 - 2017 
  • Facilitated students’ first use of microscopes, environmental simulations, dissections, and field research in the local park for 105 students in 3 inclusive middle school Science classrooms.
  • Launched and led the schools first Gay Straight Alliance (GSA), #StandTogether Group, and Talent Show.

Head Teacher, SKILLs Program, Cooke Institute, New York                                                                    2010 - 2015 
  • Launched the first 5 years of the Skills and Knowledge for Lifelong Learning (SKILLs) Program as head teacher with a rapidly growing and diverse team of educators, therapists, and councilors. SKILLs is the Cooke Institute's first option for graduating high schoolers to receive adult education and on-the-job training and apprenticeships. 
  • Designed and taught the Reading & Media Literacy and Math & Finance courses to >75 adults with special needs.

Learning Specialist, Newark Collegiate Academy, KIPP School, New Jersey                                             2009 - 2010 
  • Co-taught with 3 English teachers and 1 US History teacher, as well as ran the Resource Room for students with special needs, and developed alternative instructional materials for roughly 20 students across 5 classrooms.

Teacher of Special Education, Science School for Exploration and Discovery (PS 224), New York                2007 - 2009 
  • Taught English Language Arts and Technology in a 12:1 Special Education Classroom in the South Bronx
  • Brought students to the community garden across the street almost every week to learn to grow seasonal flora and vegetables, to playfully explore, and to get a motley crew of city kids comfortable with a little soil on their shoes.

PUBLICATIONS (peer reviewed)
Zhang, H., Lee, I. A., Moore, K. S., & Shah, S. A. (2023, June 25-28). Board 279: Ethics in Artificial Intelligence Education: Preparing Students to Become Responsible Consumers and Developers of AI [Poster presentation]. In 2023 ASEE Annual Conference & Exposition. Buffalo, NY, United States.. https://tinyurl.com/4vr7haba

Moore, K. S., Zhang, H., Gupta, P., Kuhlken, Z., Li, H., & Lee, I. (2023, June). Online vs In-Person Professional Learning Communities: A Qualitative Comparison of Teacher Learning Experiences [Poster presentation]. In Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023. International Society of the Learning Sciences. Montreal, Canada. https://2023.isls.org/proceedings/

Zhang, H., Moore, K. S., & Lee, I. (2023, June). Preparing Teachers to Teach Artificial Intelligence in Classrooms: An Exploratory Study [Paper session]. In Proceedings of the 17th International Conference on Learning Sciences - ICLS 2023. International Society of the Learning Sciences. Montreal, Canada. https://2023.isls.org/proceedings/

Weckel, M., Gupta, P., Rabinowitz, G., Moore, K., Greenberg, D., Strangas, M., Adams, J. D., Lee, I. & Chaffee, R. (2023, April 13-16). Rebuilding a STEM Program From a Justice Lens: The Science Research Mentoring Program Meets Machine Learning [Poster Presentation]. In Greenberg, D. (chair), State of the Ever-Changing Field: Understanding Justice-Centered Efforts Across Informal STEM Learning Institutions. AERA Annual Meeting. [Poster presentation] Chicago, IL, United States. https://tinyurl.com/y5463fej

Moore, K. S., Zhang, H., & Lee, I. (2023, April 28 in press). Everyday AI: Promoting Teacher AI Literacy and Communities of Practice through Teacher Professional Development. Workshop session at the CHI 2023 Annual Meeting. [Paper session] Hamburg, Germany. https://sites.gatech.edu/chi2023ailiteracy/sample-page/

Moore, K. S., & Lin, G. (2023, April 23). Is it Alive? Potential Perceptions of Sentience in AI Conversational Agents among Children. CHI 2023 Workshop on Child-centred AI Design: Definition, Operation and Considerations (CCAI). [Paper session] Hamburg, Germany. https://ccai2023.org/schedule/

Zhang, H., Moore, K., Perret, B., & Lee, I.  (2023, April 13-16). Developing Middle School Students’ AI Literacy through Interactive Approaches [Symposium]. In V. Lee (chair) Teaching Artificial Intelligence in K–12: Innovative Learning Designs in an Evolving Landscape. AERA Annual Meeting. Chicago, IL, United States. https://tinyurl.com/rk9p4c8h

DiPaola, D., Moore, K. S., Ali, S., Perret, B., Zhou, X., Zhang, H., & Lee, I. (2023, March 15-18). Make-a-Thon for Middle School AI Educators [Paper session]. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 (pp. 305-311). SIGCSE Technical Symposium, Toronto, Canada.  https://dl.acm.org/doi/pdf/10.1145/3545945.3569743

Moore, K. S., & Corter, J. E. (2023). The effectiveness of cooperative activities in promoting individual learning. In M. Buehl & J. S. Vogler (Eds.), Teaching Learning for Effective Instruction, 223-251. Information Age Publishing, Charlotte NC, United States.

Moore, K. S., & Corter, J. E. (2022, July 27-30). Learning Through Collaboration: Designing Collaborative Activities to Promote Individual Learning [Paper session]. In J. Culbertson, A. Perfors, H. Rabagliati & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society, 44. Toronto, Canada. https://escholarship.org/uc/item/2x79m3cx

Moore, K. S. & Corter, J. E. (2022, June 6-10). Motivating cognitive elaboration through a knowledge diversity manipulation during an online collaborative problem-solving task. [Paper session] In Weinberger, A. Chen, W., Hernández-Leo, D., & Chen, B. (Eds.), Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning - CSCL 2022 (pp. 387-390). International Society of the Learning Sciences, Hiroshima, Japan. https://repository.isls.org//handle/1/8315

Lee, I., Zhang, H., Moore, K., Zhou, X., Perret, B., Cheng, Y., Zheng, R., & Pu, G. (2022, February). AI Book Club: An Innovative Professional Development Model for AI Education. [Paper session] In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (pp. 202-208). SIGCSE Technical Symposium, Providence, RI, United States.. https://dl.acm.org/doi/pdf/10.1145/3478431.3499318

Moore, K. S. (2021). Learning through collaboration: Designing collaborative activities to promote individual learning (Doctoral Dissertation). ProQuest Dissertations & Theses Global. (2592931086). http://ezproxy.cul.columbia.edu/login?url=https://www.proquest.com/dissertations-theses/learning-through-collaboration-designing/docview/2592931086/se-2?accountid=10226

Hibbard*, K. S., & Corter, J. E. (2020, July 29 - August 1). Can group knowledge diversity be created on-the-fly?: Effects of collaboration task design on performance and transfer. [Paper session] In S. Denison., M. Mack, Y. Xu, & B.C. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 1539-1545). Cognitive Science Society, (Virtual Conference). https://cogsci.mindmodeling.org/2020/papers/0324/index.html

Moore, K. S., Lu, S. C., Atzmon, B., Du, Y., Vega, M., Spealman, P. & Lin, X. (2020, Apr 17 - 21) Struggle Narratives: Stories of Scientists' Struggles Model How to Persist Despite Repeated Failure [Paper session]. AERA Annual Meeting San Francisco, CA http://tinyurl.com/rfmgpsh (Conference Canceled)

Hibbard*, K. S., Lu, S., Vega, M., & Lin, X. (2018). What Strategies do Students Use to Manage Their Academic Failure? [Poster presentation]. Psychology@TC, Second Annual Conference, Teachers College, New York City, NY. 

Hibbard*, K. S., & Corter, J. (2018) Unpacking Group Diversity: Considering Cognitive Diversity as well as Demographics is Key [Poster Presentation] Subway Summit, Teachers College, New York City, NY.

Lai, H., Floyd, D., Hibbard*, K. S., Corter, J., & Cartolano, J. (2016). Effects of Assigned Task Roles on Process and Performance in a Collaborative Optimization Task [Conference Presentation] Collective Intelligence Conference, NYU Stern School of Business, NY.

*Maiden Name: Hibbard
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PROFESSIONAL AFFILIATIONS
Member, ACM Committee on Women(ACM-W)                                                                        2023 - present
Member, Association for Computing Machinery (ACM)                                                              2023 - present
Member, Special Interest Group Computer Science Education (SIGCSE)                                     2022 - present
Member, Computer Science Teachers Association (CSTA)                                                         2021 - present
Member, International Society of Learning Sciences (ISLS)                                                       2020 - present
Member, Learning and Instruction Division, American Educational Research Association (AERA)   2019 - present
Member, Cooperative Learning SIG, American Educational Research Association (AERA)              2018 - present
Member, Cognitive Science Society                                                                                        2018 - present    
Reviewer, Teach to Lead                                                                                                       2018 - 2020

Member, Teacher-Powered Schools Initiative                                                                           2015 - 2019

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