SHORT ANSWER GRADING MODEL USING TEXT SIMILARITY AND MACHINE LEARNING
The assessment of short answer answers by humans often encounters several problems. There are human error and inconsistency in assessing answers due to bias, fatigue or the other and lack of effectiveness, efficiency of assessors when exams/tests/assessments are on a large scale. Assessment of sh...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/55033 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |