The Tasks tab shows all the tasks contained in the test data. A task can be created manually by simply double clicking on the Name, Max or Min field in the empty line at the bottom of the list. The field then receives the keyboard focus and can be described. At the same time, below the entry, a new, empty line appears, which can be used for the next entry.
The name of the task in this list must correspond exactly to the name of the task in the LMS, otherwise the data can not be assigned correctly. A click on the button in the Task column opens a dialog window in which the task type can be defined. In the field Max, the maximum achievable score can be entered, in the field Min, the achievable minimum score can be entered. Usually this is 0 points. The remaining fields are not editable and will be filled automatically by the statistics functions of the LMSA Kit.
Insert Test Data Automatically
The data of the tasks can be entered completely automatically. This can be done in two ways:
- Explicit: Import via Export File of the LMS
Many LMS allow you to export entire tests or task pools as backup files. The LMSA Kit can read many of these backup files and extract the task definitions from them.
The Task Menu The lowest entry of the task menu allows to import backup files of the LMS. If the mouse pointer remains above the Import Tasks entry, a submenu opens. This submenu contains all the file formats that the LMSA Kit can import via plugins. Click on the appropriate entry and a file-open dialog will open. Now select the backup file to import. If necessary, further dialog windows will open, which guide you through the further import process.
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Implicit: Automatic Creation of Tasks
There must be a corresponding entry in the task list for each task in the test data of the participants. If test data is imported and there is no entry in the task list for one or more tasks, empty entries for these tasks are created with their names. Following the import process, the LMSA Kit estimates the maximum and minimum achievable score based on the data in the dataset. The task type is set to unknown. This approach provides less accurate data than an explicit one, but usually the estimated task data is sufficient. However, this method fails if the imported record is very small or contains only extreme data.