diff --git a/eox_nelp/course_experience/api/v1/serializers.py b/eox_nelp/course_experience/api/v1/serializers.py
index 6d635b2e..ad96b7cd 100644
--- a/eox_nelp/course_experience/api/v1/serializers.py
+++ b/eox_nelp/course_experience/api/v1/serializers.py
@@ -19,7 +19,7 @@
 USER_EXTRA_FIELD_MAPPING = {
     "first_name": "first_name",
     "last_name": "last_name",
-    "profile__name": "profile_name",
+    "profile_name": "profile__name",
     "username": "username",
 }
 
@@ -58,17 +58,17 @@ def map_attributes_from_instance_to_dict(instance, attributes_mapping):
     attribute to look in the instance and the value the key name in the output dict.
     Based in the `attributes_mapping` you should use a dict with the following config:
     {
-        "field_name": "key_name"
+        "key_name": "field_name"
     }
     This would check in the instace instance.field_name and the value send it to output dict
     like {"key_name": instance.field_name}
     Also its is possible to check nested fields if you declarate the field of instance separated by `__`
     eg:
     {
-        "field_level1__field_level2": "key_name"
+        "key_name": "field_level1__field_level2"
     }
     This example would check in the instace like instance.field_level1.field_level2 and in the output
-    dict like {"key_name": nstance.field_level1.field_level2}
+    dict like {"key_name": instance.field_level1.field_level2}
     Args:
         instance (instance class): Model or instance of class to retrieved fields.
         attributes_mapping (dict): Dictionary map that has the fields to search and the keys name to output,
@@ -77,7 +77,7 @@ def map_attributes_from_instance_to_dict(instance, attributes_mapping):
         instance_dict: dict representing the instance
     """
     instance_dict = {}
-    for instance_field, extra_field in attributes_mapping.items():
+    for extra_field, instance_field  in attributes_mapping.items():
         extra_value = None
         instance_level = copy(instance)
         for instance_field in instance_field.split("__"):