Mon 5 Nov 2018 11:00 - 11:30 at Newbury - Morning

This paper presents a framework that has been developed to support code-level tracing of the algorithm visualization capabilities of the Map-based Educational Tools for Algorithm Learning (METAL) project. METAL provides graph data based on real-world highway systems and tools to visualize that data and algorithms which operate on it. Data is shown plotted on maps and in text, color-coded to indicate the progress of the algorithm. The new code-level tracing framework allows specific algorithms to be implemented as a series of small actions, most of which correspond to lines of code that can be highlighted as they are executed. This allows a student to see how specific lines of code affect the data structures and variables as the algorithm makes progress toward a solution.

Mon 5 Nov

splash-2018-SPLASH-E
10:30 - 12:00: SPLASH-E - Morning at Newbury
splash-2018-SPLASH-E10:30 - 11:00
Talk
Christoph KirschUniversity of Salzburg
splash-2018-SPLASH-E11:00 - 11:30
Talk
Jim Teresco, Michael Dagostino, Abdul SamadSiena College, USA, Eric SauerSiena College, USA
File Attached
splash-2018-SPLASH-E11:30 - 12:00
Talk
Matteo CiminiUniversity of Massachusetts Lowell
File Attached