Misconception-driven feedback: Results from an experimental study L Gusukuma, AC Bart, D Kafura, J Ernst Proceedings of the 2018 ACM Conference on International Computing Education …, 2018 | 68 | 2018 |
Computing with corgis: Diverse, real-world datasets for introductory computing AC Bart, R Whitcomb, D Kafura, CA Shaffer, E Tilevich ACM Inroads 8 (2), 66-72, 2017 | 53 | 2017 |
Blockpy: An open access data-science environment for introductory programmers AC Bart, J Tibau, E Tilevich, CA Shaffer, D Kafura Computer 50 (5), 18-26, 2017 | 51 | 2017 |
Progsnap2: A flexible format for programming process data TW Price, D Hovemeyer, K Rivers, G Gao, AC Bart, AM Kazerouni, ... Proceedings of the 2020 ACM Conference on Innovation and Technology in …, 2020 | 41 | 2020 |
Design and evaluation of a block-based environment with a data science context AC Bart, J Tibau, D Kafura, CA Shaffer, E Tilevich IEEE Transactions on Emerging Topics in Computing 8 (1), 182-192, 2017 | 29 | 2017 |
Design and preliminary results from a computational thinking course D Kafura, AC Bart, B Chowdhury Proceedings of the 2015 ACM Conference on Innovation and Technology in …, 2015 | 27 | 2015 |
Reconciling the promise and pragmatics of enhancing computing pedagogy with data science AC Bart, D Kafura, CA Shaffer, E Tilevich Proceedings of the 49th ACM Technical Symposium on Computer Science …, 2018 | 25 | 2018 |
Analysis of collaborative learning in a computational thinking class B Chowdhury, AC Bart, D Kafura Proceedings of the 49th ACM Technical Symposium on Computer Science …, 2018 | 25 | 2018 |
Transforming introductory computer science projects via real-time web data AC Bart, E Tilevich, S Hall, T Allevato, CA Shaffer Proceedings of the 45th ACM technical symposium on Computer science …, 2014 | 17 | 2014 |
Position paper: From interest to usefulness with BlockPy, a block-based, educational environment AC Bart, E Tilevich, CA Shaffer, D Kafura 2015 IEEE Blocks and Beyond Workshop (Blocks and Beyond), 87-89, 2015 | 13 | 2015 |
Authoring feedback for novice programmers in a block-based language L Gusukuma, D Kafura, AC Bart 2017 IEEE Blocks and Beyond Workshop (B&B), 37-40, 2017 | 12 | 2017 |
Pedal: an infrastructure for automated feedback systems L Gusukuma, AC Bart, D Kafura Proceedings of the 51st ACM Technical Symposium on Computer Science …, 2020 | 11 | 2020 |
A computational thinking course accessible to non-stem majors D Kafura, AC Bart, B Chowdhury Journal of Computing Sciences in Colleges 34 (2), 157-163, 2018 | 11 | 2018 |
Instructional design+ knowledge components: A systematic method for refining instruction L Gusukuma, AC Bart, D Kafura, J Ernst, K Cennamo Proceedings of the 49th ACM Technical Symposium on Computer Science …, 2018 | 11 | 2018 |
Situating computational thinking with big data: Pedagogy and technology AC Bart Proceedings of the 46th ACM technical symposium on computer science …, 2015 | 9 | 2015 |
Implementing an Open-Access, Data Science Programming Environment for Learners. AC Bart, J Tibau, E Tilevich, CA Shaffer, DG Kafura COMPSAC, 728-737, 2016 | 8 | 2016 |
PythonSneks: an open-source, instructionally-designed introductory curriculum with action-design research AC Bart, A Sarver, M Friend, L Cox II Proceedings of the 50th ACM Technical Symposium on Computer Science …, 2019 | 6 | 2019 |
Instructional design is to teaching as software engineering is to programming AC Bart, CA Shaffer Proceedings of the 47th ACM Technical Symposium on Computing Science …, 2016 | 5 | 2016 |
Evaluating an Instrumented Python CS1 Course. AC Bart, T Rutherford, J Skripchuk, IH Price, T Brusilovsky CSEDM@ EDM, 2020 | 4 | 2020 |
Blockpy interactive demo: Dual text/block python programming environment for guided practice and data science AC Bart, D Kafura Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science …, 2017 | 4 | 2017 |