Faculty Profile

Austin Cory Bart

Austin Cory Bart

Associate Professor
411 Smith Hall
Newark, Delaware 19716
P: 302-831-0345
acbart@udel.edu

Personal Website


EDUCATION

PhD | 2017 | Computer Science
Certification in Learning Sciences | 2015 | Virginia Tech
Honors Bachelor with Distinction | 2012 | University of Delaware

SHORT BIO

Teacher of Computer Science and researcher in Computer Science Education. Passionate about teaching and developing technology to support education by leveraging the latest learning theory and computational techniques. Equally comfortable as both Software Architect and Educational Researcher, having developed a significant amount of sophisticated software and taught in many contexts. Committed to supporting education and diversity in every discipline, especially Computer Science.

SELECTED PUBLICATIONS

  1. A. C. Bart, E. Tilevich, C. A. Shaffer, D. Kafura, Reconciling the Promise and Pragmatics of Enhancing Computing Pedagogy with Data Science, SIGCSE ’18, Baltimore, MD. February, 2018.
  2. L. Gusukuma, A. C. Bart, D. Kafura, Instructional Design + Knowledge Components: A Systematic Method for Refining Instruction, SIGCSE ’18, Baltimore, MD. February, 2018.
  3. B. Chowdhury, A. C. Bart, D. Kafura, Analysis of Collaborative Learning in a Computational Thinking Class, SIGCSE ’18, Baltimore, MD. February, 2018.
  4. A. C. Bart, L. Gusukuma, D. Kafura, Really Pushing My Buttons: Affordances in Block-based Languages (Position Paper), Blocks & Beyond 2018, Raleigh, North Carolina. October 2018.
  5. L. Gusukuma, A. C. Bart, D. Kafura, Authoring Feedback for Novice Programmers in a Block-based Language (Position Paper), Blocks & Beyond 2018, Raleigh, North Carolina. October 2018.
  6. A. C. Bart, Motivating Introductory Students with Pedagogical Datasets, Dissertation. March, 2017.
  7. A. C. Bart, J. Tibau, D. Kafura, E. Tilevich, C. A. Shaffer, Design and Evaluation of a Block-based Environment with a Data Science Context, IEEE Transactions on Emerging Topics in Computing. May, 2017.
  8. A. C. Bart, J. Tibau, E. Tilevich, C. A. Shaffer, D. Kafura, BlockPy: An Open Access Data-Science Environment for Introductory Programmers, IEEE Computer ’17. May, 2017.
  9. A. C. Bart, R. Whitcomb, D. Kafura, A. A. Shaffer, E. Tilevich. Computing with CORGIS: Diverse, Real-world Datasets for Introductory Computing. ACM Inroads 8, 2 (March 2017), 66-72. [Reprint]
  10. A. C. Bart, R. Whitcomb, E. Tilevich, C. A. Shaffer, D. Kafura, Computing with CORGIS: Diverse, Real-world Datasets for Introductory Computing (Best Paper Award), SIGCSE ’17, Seattle, Washington. March, 2017.
  11. A. C. Bart, J. Tibau, E. Tilevich, C. A. Shaffer, D. Kafura, Implementing an Open-access, Data Science Programming Environment for Learners, COMPSAC ’16, Atlanta, Georgia. June 10-15, 2016.
  12. A. C. Bart, E. Tilevich, C. A. Shaffer, D. Kafura, Position Paper: From Interest to Usefulness with BlockPy, a Block-based, Educational Environment, Blocks & Beyond ’15, Atlanta, Georgia. October 21-23, 2015.
  13. D. Kafura, A. C. Bart, B. Chowdhury, Design and Preliminary Results From a Computational Thinking Course. ITiCSE’15, Vilnius, Lithuania. July 6-8, 2015.
  14. A. C. Bart, E. Tilevich, T. Allevato, S. Hall, C. A. Shaffer, Transforming Introductory Computer Science Projects via Real-Time Web Data, SIGCSE ’14, Atlanta, Georgia. March 5-8, 2014.

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