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**1 - 2**of**2**### Innovations in Practice Algorithm Visualization System for Teaching Spatial Data Algorithms

"... TRAKLA2 is a web-based learning environment for data structures and algorithms. The system delivers automatically assessed algorithm simulation exercises that are solved using a graphical user interface. In this work, we introduce a novel learning environment for spatial data algorithms, SDA-TRAKLA2 ..."

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TRAKLA2 is a web-based learning environment for data structures and algorithms. The system delivers automatically assessed algorithm simulation exercises that are solved using a graphical user interface. In this work, we introduce a novel learning environment for spatial data algorithms, SDA-TRAKLA2, which has been implemented on top of the TRAKLA2 system. Spatial data items are identified by a set of coordinates, such as x and y for two-dimensional spatial data. The spatial environment contains new visualizations for representing spatial data, and a number of new exercises that cover a variety of spatial data algorithms. The new exercises have been used in the spatial data algorithms course at the Helsinki University of Technology since spring 2007. Here, we summarize previous research and report on an analysis of the quantitative data on the students ’ learning outcomes for years 2007 and 2008. We have also analyzed the students ’ learning results using qualitative methods in order to discover how the new system affects the students ’ learning outcomes.

### Algorithm Visualization System for Teaching Spatial Data Algorithms

, 2009

"... TRAKLA2 is a web-based learning environment for data structures and algo-rithms. The system delivers automatically assessed algorithm simulation exercises that are solved using a graphical user interface. In this work, we introduce a spatial data algorithm extension to the TRAKLA2 system. It is base ..."

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TRAKLA2 is a web-based learning environment for data structures and algo-rithms. The system delivers automatically assessed algorithm simulation exercises that are solved using a graphical user interface. In this work, we introduce a spatial data algorithm extension to the TRAKLA2 system. It is based on using several different types of visualizations on various lev-els of abstraction simultaneously. The visualizations show both how data elements relate to each other in terms of spatial attributes and how they are stored in data structures. The extension has been in use on the spatial data algorithms course at Helsinki University of Technology for two years. The learning results of students using the system are comparable to previous results on a basic data structures and algorithms course using either TRAKLA2 or similar pen and paper exercises. The students’ attitudes towards the system have been mostly positive. 1