Analytics-Ziele

Aus MoodleDocs
Version vom 25. Juli 2019, 08:58 Uhr von Gisela Hillenbrand (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „{{Analytics}}{{Übersetzen}} == About targets == thumbTargets represent a “known good”-- something about which we have very str…“)
(Unterschied) ← Nächstältere Version | Aktuelle Version (Unterschied) | Nächstjüngere Version → (Unterschied)
Wechseln zu:Navigation, Suche

Baustelle.png Diese Seite muss übersetzt werden. Greif zu!
Wenn du dich um diesen Artikel kümmern willst, dann kennzeichne das, indem du die Vorlage {{Übersetzen}} durch die Vorlage {{ÜbersetzenVergeben}} ersetzt.
Wenn du mit deiner Arbeit fertig bist, dann entferne die Vorlage aus dem Artikel.
Danke für deine Mitarbeit!


About targets

create model 2.png

Targets represent a “known good”-- something about which we have very strong evidence of value. Targets must be designed carefully to align with the curriculum priorities of the institution. Each model has a single target. The “Analyser”

analyser.png

(context in which targets will be evaluated) is automatically controlled by the Target selection.

Targets provided with Moodle core

Moodle provides a growing list of targets shipped with Moodle core:

  • Students at risk of not achieving the competencies assigned to a course -- This target provides predictions for students enroled in courses with competencies assigned. To train the model, a history of courses with competencies and records of competencies achieved must be available on the site. Courses in both the training and prediction sets must have start and end dates.
  • Students at risk of not meeting the course completion conditions -- This target provides predictions for students enroled in courses with completion conditions set. To train the model, a history of courses with completion conditions set and calculated must be available on the site. Courses in both the training and prediction sets must have start and end dates.
  • Students at risk of dropping out -- This target uses minimal assumptions to estimate student dropout. If the student participates at all in the last quarter of the course, the student is assumed not to have dropped out. The only requirement is that the courses in both the training and prediction sets must have start and end dates.
  • Students at risk of not achieving the minimum grade to pass the course -- This target provides predictions for students enroled in courses with a minimum passing grade configured. To train the model, a history of courses with passing grades must be available on the site. Courses in both the training and prediction sets must have start and end dates.

Although these targets all apply to student enrolments in courses, this is not a requirement. Targets can be based on any outcome or process in Moodle.