PILA Resources
PILA Resources
PILA Resources
FORMATIVE ASSESSMENTS
Learn About Formative Assessment as an educational Paradigm:
COMPUTATIONAL PROBLEM SOLVING
Learn about computational problem solving-related learning trajectories:
- Basawapatna, A. et al. (2011). Recognizing computational thinking patterns. Presented at the 42nd ACM Technical Symposium on Computer Science Education (SIGCSE), Dallas, TX, USA.
- Rich, K. M., Strickland, C., Binkowski, T. A., Moran, C., & Franklin, D. (2017). K-8 Learning Trajectories Derived from Research Literature: Sequence, Repetition, Conditionals. Proceedings of the 2017 ACM Conference on International Computing Education Research, 182–190.
- Rich, K. M., Strickland, C., Binkowski, T. A., & Franklin, D. (2019). A K-8 Debugging Learning Trajectory Derived from Research Literature. Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 745–751. https://doi.org/10.1145/3287324.3287396
- Rich, K. M., Binkowski, T. A., Strickland, C., & Franklin, D. (2018). Decomposition: A K-8 Computational Thinking Learning Trajectory. Proceedings of the 2018 ACM Conference on International Computing Education Research - ICER ’18, 124–132. https://doi.org/10.1145/3230977.3230979
Learn about the connection between computational thinking and STEM education:
Learn how students apply computational problem solving to Scratch:
CAUSAL REASONING
Learn how instructors can use concept maps to support student learning:
FORMATIVE ASSESSMENTS
Learn About Formative Assessment as an educational Paradigm:
COMPUTATIONAL PROBLEM SOLVING
Learn about computational problem solving-related learning trajectories:
- Basawapatna, A. et al. (2011). Recognizing computational thinking patterns. Presented at the 42nd ACM Technical Symposium on Computer Science Education (SIGCSE), Dallas, TX, USA.
- Rich, K. M., Strickland, C., Binkowski, T. A., Moran, C., & Franklin, D. (2017). K-8 Learning Trajectories Derived from Research Literature: Sequence, Repetition, Conditionals. Proceedings of the 2017 ACM Conference on International Computing Education Research, 182–190.
- Rich, K. M., Strickland, C., Binkowski, T. A., & Franklin, D. (2019). A K-8 Debugging Learning Trajectory Derived from Research Literature. Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 745–751. https://doi.org/10.1145/3287324.3287396
- Rich, K. M., Binkowski, T. A., Strickland, C., & Franklin, D. (2018). Decomposition: A K-8 Computational Thinking Learning Trajectory. Proceedings of the 2018 ACM Conference on International Computing Education Research - ICER ’18, 124–132. https://doi.org/10.1145/3230977.3230979
Learn about the connection between computational thinking and STEM education:
Learn how students apply computational problem solving to Scratch:
CAUSAL REASONING
Learn how instructors can use concept maps to support student learning:
FORMATIVE ASSESSMENTS
Learn About Formative Assessment as an educational Paradigm:
COMPUTATIONAL PROBLEM SOLVING
Learn about computational problem solving-related learning trajectories:
- Basawapatna, A. et al. (2011). Recognizing computational thinking patterns. Presented at the 42nd ACM Technical Symposium on Computer Science Education (SIGCSE), Dallas, TX, USA.
- Rich, K. M., Strickland, C., Binkowski, T. A., Moran, C., & Franklin, D. (2017). K-8 Learning Trajectories Derived from Research Literature: Sequence, Repetition, Conditionals. Proceedings of the 2017 ACM Conference on International Computing Education Research, 182–190.
- Rich, K. M., Strickland, C., Binkowski, T. A., & Franklin, D. (2019). A K-8 Debugging Learning Trajectory Derived from Research Literature. Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 745–751. https://doi.org/10.1145/3287324.3287396
- Rich, K. M., Binkowski, T. A., Strickland, C., & Franklin, D. (2018). Decomposition: A K-8 Computational Thinking Learning Trajectory. Proceedings of the 2018 ACM Conference on International Computing Education Research - ICER ’18, 124–132. https://doi.org/10.1145/3230977.3230979
Learn about the connection between computational thinking and STEM education:
Learn how students apply computational problem solving to Scratch:
CAUSAL REASONING
Learn how instructors can use concept maps to support student learning:
