learning trajectory
Student skill trajectory comparison between college and middle school students

Skill Trajectory

CTPA can measure a student’s programing skills automatically, in real-time, for every given AgentSheets/AgentCubes project. This CTPA-measured skill can track an individual student’s learning or skill trajectory (figure above) [1, 2]. While the semantic information from individual games/simulations only represents a piece of student learning development, collective semantic analysis of all of a student’s games or simulations could provide a measurement of that student’s overall progress. Representing semantic meaning in measureable units to visually demonstrate student-learning trends, and to represent the students’ knowledge and skill, can benefit students and teachers directly. This approach could also indicate possible curriculum failings at a fundamental level.

  • Bennett, V., Koh, K. H., Repenning, A., Can Learning Acquisition be Computed?, IEEE International Symposium on Visual Languages and Human-Centric Computing 2011, Pittsburgh, PA, USA, September 18-22, 2011.
  • Koh, K. H., Nickerson, H., Basawapatna, A., Repenning, A., Early Validation of Computational Thinking Pattern Analysis, ITiCSE '14: Annual Conference on Innovation and Technology in Computer Science Education, Uppsala, Sweden, June 23-25, 2014