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Quality Management: Data Collection Generators

Recommendation

Knowledge of data collections is a prerequisite for understanding the data collection generator.

What does a data collection generator do?

Data collections can also be created automatically according to certain rules in the Quality management module.

The rules are described and set up in so-called data collection generators.

A data collection generator creates several data collections from one form learning resource, each with its own group of people and submission deadline

How is a data collection generator created?

If you have the appropriate authorization (role), Quality management appears in your main navigation. Click on the link in the section "Data collection generators".

Section Data collection generators and entry Quality management in the More menu highlighted, start page of the quality management

Create a new data collection generator there.

Button Create generator highlighted, above the empty list of data collection generators

By selecting a type, you determine the rule set according to which data collections are created.

Drop-down Type in the dialog Create generator with the entries Course, Events of a coach in a course and Element

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Generator type "Course"

Type Course in the dialog Create generator highlighted, below it the field Title of the generator

Tab "Configuration"

Tab Configuration of a generator of type Course with 13 numbered fields from Title of the generator to Restrict editing, at the top the tabs Report access, White list and Black list

1 Title of the generator
If possible, use a title that makes a statement about content and use, to enable a clear assignment and differentiation from other generators.

2 Organizations
If the module "Organizational units" has been activated and set up, data collections can also be related to selected organizational units.

3 Form
With data collection generators, too, only one form is used at a time to enable comparability and evaluation. If another form is to be used, you would have to create another generator.

4 Title of the data collection
Enter the title of the data collections generated by the data collection generator here. Variables can also be used in the title.

5 Roles of participants
The course members with the roles selected here can participate in the data collection. It is possible, for example, to conduct this data collection exclusively among coaches.

6 Start trigger
Triggering start events for the generator of type "Course" can be:

  • Start of course
  • End of course
  • daily

7 Days after course date
(This option is only displayed if "Start of course" or "End of course" has been selected as the start trigger.)
The start of the data collection is calculated from the start trigger and the number of days entered here. The number of days can also be negative.

Days of week
(This option is only displayed if "Daily" has been selected as the start trigger.)
A data collection is generated periodically on the specified days of the week.

Note

If a course has a start or end date, it is not included in the data collections before and after these dates.

8 Duration of the data collection (hours)
After the start of the data collection, all participants can complete and submit the form within the specified period. After this deadline, it is no longer possible to submit the form.

9 Invitation
The invitation is a function of the data collection. If several data collections are generated automatically by the data collection generator, the dispatch date of the invitation is calculated in the data collections depending on the respective start date and the value entered here.

10 11 Reminders
The reminders are also a function of the data collection. If several data collections are generated automatically by the data collection generator, the dispatch date of the reminder is calculated in the data collections depending on the respective start date and the value entered here.

12 Exclude implementation formats
An implementation format can be specified for courses in the metadata. It is possible to exclude certain implementation formats from generated data collections, e.g. if examination courses are not to be included.

13 Restrict editing
With the checkbox "Only quality managers can edit", the editing of the generator is restricted to quality managers.

Tab "Report access"

The configuration entered here is transferred 1:1 to the created data collections. See Data collections.

Tab "White list"

If a generator has been created, this results in a list of courses for which data collections are generated.

If a white list is also defined, only courses that are contained both in the list originally created by the generator and in this white list are taken into account for data collections.

Tab "Black list"

If a generator has been created, this results in a list of courses for which data collections are generated. Individual courses can be excluded in the black list.

Note

It only makes sense to create either a white list or a black list.
If data collections are to be carried out only for a small part of the courses, a white list is recommended.
If data collections are to be carried out for the majority of the courses, a black list is recommended.

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Generator type "Events of a coach in a course"

Type Events of a coach in a course in the dialog Create generator highlighted

Tab "Configuration"

Tab Configuration of a generator of type Events of a coach in a course with 17 numbered fields from Title of the generator to Restrict editing

See also Configuration in the type Course.

5 Roles of participants

The course members with the roles selected here can participate in the data collection.

  • Owners
  • All coaches (= all coaches of the course)
  • Teaching coach (= the person teaching at the event that leads to the data collection)
  • Participants

6 Topic
The generator enters the topic in the data collection:

  • Coach or
  • Course

Note

If there are several coaches in a course who fulfill the other criteria, one data collection is initiated per coach.

7 Teacher minimum units
The data collection only takes place if the coach has the minimum number of units in a course in total specified here. (Not only the lessons already held.)

8 Teacher maximum units
The data collection only takes place if the coach does not exceed the maximum number of units in a course in total specified here.

Example

In the data collection for the standard case, only coaches who have to hold at least 10 units should be assessed. The minimum number of units is used for this purpose.

If only rarely teaching coaches are to be assessed, a data collection for coaches with a maximum number of units can be generated in another generator.

9 Start of data collection

  • In the last event (which the coach teaches in a course)
  • In the event with unit x (events taught by the coach)

10 Start x minutes before the end of the event

If the survey is conducted shortly before the end, a higher participation rate can generally be expected.

11 Duration of the data collection (days)

After the start of the data collection, all participants can complete and submit the form within the specified period. After this deadline, it is no longer possible to submit the form.

12 Announcement to coaches (days before data collection start)

If no information is provided here, no announcement is sent. In some cases it makes sense that, for example, coaches receive an announcement in advance and can intervene if necessary.

13 Invitation (days after data collection start)

The invitation is an email to the participants with the link to the form. If no information is provided, no email is sent and the participants must be informed by other means. (E.g. by lecturers in class.)

14 15 Reminder (days after data collection start)
See also Configuration in the type Course.

Tab "Report access"

The configuration entered here is transferred 1:1 to the created data collections. See Data collections.

Tab "White list"

See Type Course White list.

Tab "Black list"

See Type Course Black list.

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Generator type "Element"

Type Element in the dialog Create generator highlighted

Tab "Configuration"

Tab Configuration of a generator of type Element with 13 numbered fields, among them Type element, Element date and Days after element date

See also Configuration in the type Course.

6 Type element

There is one data collection for each element.

Depending on how the product is set up, elements can be, for example:

  • Semester
  • Program
  • Module

7 Element date
Triggering start events for the generator of type "Element" can be:

  • Begin
  • End

8 Days after element date
The start of the data collection is calculated from the start trigger and the number of days entered here. The number of days can also be negative.

Tab "Report access"

The configuration entered here is transferred 1:1 to the created data collections. See Data collections.

Tab "White list"

If a generator has been created, this results in a list of elements for which data collections are generated.

If a white list is also defined, only elements that are contained both in the list originally created by the generator and in this white list are taken into account for data collections.

Tab "Black list"

If a generator has been created, this results in a list of elements for which data collections are generated. Individual elements can be excluded in the black list.

Note

It only makes sense to create either a white list or a black list.
If data collections are to be carried out only for a small part of the elements, a white list is recommended.
If data collections are to be carried out for the majority of the elements, a black list is recommended.

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Switch on generator

Each newly created generator is initially switched off. This allows it to be configured at leisure. A generator is switched on and activated using the button at the top left.

Button Switched off at the top left highlighted, above the tabs Configuration, Report access, White list and Black list of a generator

Note

Editing a generator is only possible if the generator is switched off.

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Further information

Modules: Overview >
Quality Management: Data collections >

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