adding remaining advanced problem modes I left off the first pass

common/lib/xmodule/xmodule/templates/problem/circuitschematic.yaml

+
 ---
 metadata:
-    display_name: Circuit Schematic
+    display_name: Circuit Schematic Builder
     rerandomize: never
     showanswer: always
     weight: ""

common/lib/xmodule/xmodule/templates/problem/customgrader.yaml

 ---
 metadata:
-    display_name: Custom Grader
+    display_name: Custom Python-Evaluated Input
     rerandomize: never
     showanswer: always
     weight: ""
@@ -8,7 +8,7 @@ metadata:
 data: |
   <problem>
   <p>
-  A custom response problem accepts one or more lines of text input from the
+  A custom python-evaluated input problem accepts one or more lines of text input from the
   student, and evaluates the inputs for correctness based on evaluation using a 
   python script embedded within the problem.
   </p>

common/lib/xmodule/xmodule/templates/problem/forumularesponse.yaml

 ---
 metadata:
-    display_name: Formula Response
+    display_name: Math Expression Input
     rerandomize: never
     showanswer: always
     weight: ""
@@ -8,7 +8,7 @@ metadata:
 data: |
   <problem>
   <p>
-  A formula response problem accepts a line of text representing a mathematical expression from the
+  A math expression input problem accepts a line of text representing a mathematical expression from the
   student, and evaluates the input for equivalence to a mathematical expression provided by the 
   grader. Correctness is based on numerical sampling of the symbolic expressions.
   </p>

common/lib/xmodule/xmodule/templates/problem/imageresponse.yaml

 ---
 metadata:
-    display_name: Image Response
+    display_name: Image Mapped Input
     rerandomize: never
     showanswer: always
     weight: ""
@@ -8,7 +8,7 @@ metadata:
 data: |
   <problem>
   <p>
-  An image response problem presents an image for the student.  Input is
+  An image mapped input problem presents an image for the student.  Input is
   given by the location of mouse clicks on the image. Correctness of input can be evaluated based on expected dimensions of a rectangle.
   </p>