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Merge pull request #126 from edx/diana/fix-display-text

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Fix typo and an unclear description.
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Diana Huang
2013-06-11 14:36:06 -07:00
parent 413202e7d6 f79d1e215a
commit 58d561ac8e
2 changed files with 3 additions and 2 deletions
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3
lms/templates/courseware/instructor_dashboard.html
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@@ -198,7 +198,8 @@ function goto( mode)
<H2>Student-specific grade inspection and adjustment</h2>
<p>edX email address or their username: </p>
<p><input type="text" name="unique_student_identifier"> <input type="submit" name="action" value="Get link to student's progress page"></p>
<p>and, if you want to reset the number of attempts for a problem, the urlname of that problem</p>
<p>and, if you want to reset the number of attempts for a problem, the urlname of that problem
(e.g. if the location is <tt>i4x://university/course/problem/problemname</tt>, then the urlname is <tt>problemname</tt>).</p>
<p> <input type="text" name="problem_to_reset" size="60"> <input type="submit" name="action" value="Reset student's attempts"> </p>
%if instructor_access:

2
lms/templates/instructor/staff_grading.html
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@@ -29,7 +29,7 @@
<section class="problem-list-container">
<h2>Instructions</h2>
<div class="instructions">
<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>
<p>This is the list of problems that currently 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>
</div>
<h2>Problem List</h2>