One of the most obvious and practical applications of digital content is the digitization of tests.
It is obvious, since digital education is above all suitable for testing specific, objective knowledge. We can easily tell the machine that 11x4=? the correct answer to question 44. At the same time, it is very difficult - for example - to write/correct a sentence in a digital environment, because artificial intelligence is not yet able to evaluate such a complex linguistic construction.
It's practical, because the digital support system, like a diligent assistant, corrects papers and immediately presents the result, which it also saves, so we can find it and use it again at any time later, if - for example - we want to track the progress of a student to follow. In addition, the digital test that has already been prepared can be used in several groups of students, it can be used again later on, and it can be used again either modified or unchanged.
A linear test means that the tasks of the test are given to each student in a row, one after the other, regardless of how correctly or incorrectly they answered the question.
It is also possible to prepare an adaptive or "jumping" test, where the student, after solving a task correctly, skips a few tasks of similar difficulty and immediately encounters a more difficult task. In most situations, the linear test is the right solution, adaptive testing can be interesting in the case of more extensive competence measurements.
When should you create a test on the EDUBOT interface?
If you want to assess with one or more groups of students whether they have mastered the course material and, if so, to what extent.
Why is the EDUBOT interface suitable for this?
This is because during the evaluation of the results, the system generates the results of both the group and the individual students participating in the group. Accordingly, the teacher can see the time spent on each route, as well as which part of the material or task caused difficulty for the given student.
This makes classification into a cluster easier, and AI can also be used during cluster classification. The AI makes a proposal for classifying the students into a possible cluster.
We have seen the advantages of test creation and what tests we can create on the EDUBOT interface, and now let's see what we can create and use tests on.
In this case, there are two ways to create a linear or an adaptive route:
- creating your own test for student or
- using an already existing test wich is shared with you
Linear / Adaptive playback mode - Linear route playback mode means that the student has to complete all learning units on the same difficulty level before he can move to units on a higher level. Adaptive playback means that if the system detects that the student is performing well at a given difficulty level, the student will be automatically moved to a higher level and the student can continoue the route.
Lets see the first option: