Abstract | ||
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Conceptual weaknesses have been identified in previous research that contribute to student learning difficulties related to computer programming. We postulate that improved learning can be achieved by using a tool that combines approaches from active learning and visualisation. We describe the architecture and features of a tool that supports mobile phone input to an interactive code execution framework which interfaces with Jeliot 3. Mobile users are able to contribute code snippets, and make predictions about execution behaviour of code executing in the tool. Individual feedback is provided to mobile devices in real time, allowing us to provide customised feedback to individual learners during a period of instruction. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/FIE.2011.6143119 | FIE |
Keywords | Field | DocType |
interactive teaching,code snippet,mobile user,customised feedback,interactive code execution framework,execution behaviour,mobile device,active learning,individual feedback,mobile phone input,ict support,improved learning,computer science,visualization,computer science education,teaching,technology,real time,mobile computing,visual programming,data visualisation,servers | Mobile computing,Data visualization,Active learning,Computer science,Visualization,Server,Mobile device,Human–computer interaction,Mobile phone,Multimedia,Computer programming | Conference |
ISSN | Citations | PageRank |
0190-5848 | 4 | 0.43 |
References | Authors | |
13 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arnold Pears | 1 | 300 | 34.58 |
Moritz Rogalli | 2 | 13 | 1.17 |