<option>The response is not a satisfactory answer to the question. It either fails to address the question or does so in a limited way, with no evidence of higher-order thinking.</option>
</category>
</rubric></rubric>'''
prompt=etree.XML("<prompt>This is sample prompt text.</prompt>")
definition={'rubric':rubric,
'prompt':prompt,
'submitmessage':'Shall we submit now?',
'hintprompt':'Consider this...',
}
...
...
@@ -23,47 +31,46 @@ class SelfAssessmentTest(unittest.TestCase):
<option>The response is not a satisfactory answer to the question. It either fails to address the question or does so in a limited way, with no evidence of higher-order thinking.</option>
<p>This is the list of problems that current need to be graded in order to train the machine learning models. Each problem needs to be trained separately, and we have indicated the number of student submissions that need to be graded in order for a model to be generated. You can grade more than the minimum required number of submissions--this will improve the accuracy of machine learning, though with diminishing returns. You can see the current accuracy of machine learning while grading.</p>