diff --git a/airflow/jobs/scheduler_job.py b/airflow/jobs/scheduler_job.py
index 888922840b992..02065924fde5d 100644
--- a/airflow/jobs/scheduler_job.py
+++ b/airflow/jobs/scheduler_job.py
@@ -553,9 +553,9 @@ def _enqueue_task_instances_with_queued_state(
                 queue=queue,
             )
 
-    def _critical_section_execute_task_instances(self, session: Session) -> int:
+    def _critical_section_enqueue_task_instances(self, session: Session) -> int:
         """
-        Attempts to execute TaskInstances that should be executed by the scheduler.
+        Enqueues TaskInstances for execution.
 
         There are three steps:
         1. Pick TIs by priority with the constraint that they are in the expected states
@@ -901,7 +901,7 @@ def _do_scheduling(self, session) -> int:
         - Then, via a Critical Section (locking the rows of the Pool model) we queue tasks, and then send them
           to the executor.
 
-          See docs of _critical_section_execute_task_instances for more.
+          See docs of _critical_section_enqueue_task_instances for more.
 
         :return: Number of TIs enqueued in this iteration
         :rtype: int
@@ -949,7 +949,7 @@ def _do_scheduling(self, session) -> int:
                     timer.start()
 
                     # Find anything TIs in state SCHEDULED, try to QUEUE it (send it to the executor)
-                    num_queued_tis = self._critical_section_execute_task_instances(session=session)
+                    num_queued_tis = self._critical_section_enqueue_task_instances(session=session)
 
                     # Make sure we only sent this metric if we obtained the lock, otherwise we'll skew the
                     # metric, way down
diff --git a/tests/jobs/test_scheduler_job.py b/tests/jobs/test_scheduler_job.py
index c9c1ab166a188..895ffb534d170 100644
--- a/tests/jobs/test_scheduler_job.py
+++ b/tests/jobs/test_scheduler_job.py
@@ -486,7 +486,7 @@ def test_execute_task_instances_backfill_tasks_wont_execute(self, dag_maker):
 
         assert dr1.is_backfill
 
-        self.scheduler_job._critical_section_execute_task_instances(session)
+        self.scheduler_job._critical_section_enqueue_task_instances(session)
         session.flush()
         ti1.refresh_from_db()
         assert State.SCHEDULED == ti1.state
@@ -1322,7 +1322,7 @@ def test_enqueue_task_instances_sets_ti_state_to_None_if_dagrun_in_finish_state(
         assert ti.state == State.NONE
         mock_queue_command.assert_not_called()
 
-    def test_critical_section_execute_task_instances(self, dag_maker):
+    def test_critical_section_enqueue_task_instances(self, dag_maker):
         dag_id = 'SchedulerJobTest.test_execute_task_instances'
         task_id_1 = 'dummy_task'
         task_id_2 = 'dummy_task_nonexistent_queue'
@@ -1361,7 +1361,7 @@ def test_critical_section_execute_task_instances(self, dag_maker):
 
         assert State.RUNNING == dr2.state
 
-        res = self.scheduler_job._critical_section_execute_task_instances(session)
+        res = self.scheduler_job._critical_section_enqueue_task_instances(session)
 
         # check that max_active_tasks is respected
         ti1.refresh_from_db()
@@ -1410,7 +1410,7 @@ def _create_dagruns():
             ti2.state = State.SCHEDULED
             session.flush()
         self.scheduler_job.max_tis_per_query = 2
-        res = self.scheduler_job._critical_section_execute_task_instances(session)
+        res = self.scheduler_job._critical_section_enqueue_task_instances(session)
         assert 2 == res
 
         self.scheduler_job.max_tis_per_query = 8
@@ -1420,9 +1420,9 @@ def _create_dagruns():
             mock_slots.return_value = 2
             # Check that we don't "overfill" the executor
             assert 2 == res
-            res = self.scheduler_job._critical_section_execute_task_instances(session)
+            res = self.scheduler_job._critical_section_enqueue_task_instances(session)
 
-        res = self.scheduler_job._critical_section_execute_task_instances(session)
+        res = self.scheduler_job._critical_section_enqueue_task_instances(session)
         assert 4 == res
         for ti in tis:
             ti.refresh_from_db()
@@ -1462,7 +1462,7 @@ def _create_dagruns():
         self.scheduler_job.max_tis_per_query = 0
         self.scheduler_job.executor = MagicMock(slots_available=36)
 
-        res = self.scheduler_job._critical_section_execute_task_instances(session)
+        res = self.scheduler_job._critical_section_enqueue_task_instances(session)
         # 20 dag runs * 2 tasks each = 40, but limited by number of slots available
         assert res == 36
         session.rollback()