Abstract
Efficient evaluation of student programs and timely processing of feedback is a critical challenge for faculty. Despite persistent efforts and significant advances in this field, there is still room for improvement. Therefore, the present study aims to analyse the system of automatic assessment and marking of computer science programming students’ assignments in order to save teachers or lecturers time and effort. This is because the answers are marked automatically and the results returned within a very short period of time. The study develops a statistical framework to relate image keywords to image characteristics based on optical character recognition (OCR) and then provides analysis by comparing the students’ submitted answers with the optimal results. This method is based on Latent Semantic Analysis (LSA), and the experimental results achieve high efficiency and more accuracy by using such a simple yet effective technique in automatic marking.
| Original language | English |
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| Title of host publication | INFOCOMP 2016 The Sixth International Conference on Advanced Communications and Computation |
| Place of Publication | Valencia, Spain |
| Publisher | International Academy, Research, and Industry Association (IARIA) |
| Pages | 7-11 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781612084787 |
| Publication status | Published - 22 May 2016 |
| Event | The Sixth International Conference on Advanced Communications and Computation - Holiday Inn Express, Valencia, Spain Duration: 22 May 2016 → 26 May 2016 Conference number: 6 https://www.iaria.org/conferences2016/INFOCOMP16.html (Link to Conference Website ) |
Publication series
| Name | INFOCOMP |
|---|---|
| ISSN (Print) | 2308-3484 |
Conference
| Conference | The Sixth International Conference on Advanced Communications and Computation |
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| Abbreviated title | INFOCOMP 2016 |
| Country/Territory | Spain |
| City | Valencia |
| Period | 22/05/16 → 26/05/16 |
| Internet address |
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