feat: add learning objective targets

src/export/practice.rs

@@ -390,13 +390,13 @@ fn solution_body(out: &mut String, item: &Item) {
 
 /// The `Tests:` line naming the objectives this item measures.
 fn objectives_line(out: &mut String, item: &Item, course: &CourseFile) {
-    if item.learning_objectives.is_empty() {
+    if item.learning_targets.is_empty() {
         return;
     }
     let texts: Vec<String> = item
-        .learning_objectives
+        .learning_targets
         .iter()
-        .map(|id| course.objective_text(id))
+        .map(|id| course.text_for(id))
         .collect();
     out.push_str(&format!("**Tests:** {}\n\n", texts.join("; ")));
 }
@@ -542,7 +542,7 @@ items:
     status: draft
     level: 1
     stem: At constant pressure, the heat exchanged equals which quantity?
-    learning_objectives: [lo-enthalpy]
+    learning_targets: [lo-enthalpy]
     options:
       - { id: A, text: "the enthalpy change", correct: true, feedback_student: "Right: P dV work is folded into H." }
       - { id: B, text: "the internal energy change", misconception: "ignores expansion work" }
@@ -556,7 +556,7 @@ items:
     level: 2
     format: open_response
     stem: Explain why, at constant pressure, the heat exchanged equals the enthalpy change.
-    learning_objectives: [lo-enthalpy]
+    learning_targets: [lo-enthalpy]
     solution:
       model_answer: "At constant pressure the P dV expansion work is folded into H = U + PV, so q_p is the change in H."
       rubric:
@@ -599,7 +599,7 @@ items:
                     bonus: false,
                     key: vec!["A".into()],
                     level: None,
-                    learning_objectives: Vec::new(),
+                    learning_targets: Vec::new(),
                     credit_overrides: Default::default(),
                     dropped: false,
                     dropped_as: None,
@@ -613,7 +613,7 @@ items:
                     bonus: false,
                     key: Vec::new(),
                     level: None,
-                    learning_objectives: Vec::new(),
+                    learning_targets: Vec::new(),
                     credit_overrides: Default::default(),
                     dropped: false,
                     dropped_as: None,