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In addition, we introduced EDU.Tube's architecture including its regular and mobile instances.
The next category directly deals with aspects related to regular and mobile instances of EDU.Tube.
Virtual mobile instances running on cloud infrastructure are accessed using mobile devices to access resources such as, CPU, memory etc.
We started by posing questions that addressed EDU.Tube in general without particularly mentioning its regular or mobile instances.
The research involves usage of machine learning algorithm for detecting abnormal behaviour in the virtual mobile instances.
Students conducted their assessments while using regular or mobile instances of EDU.Tube and using various types of devices owned by them.
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About one percent solely used the mobile instance of the environment.
This evaluation may emphasize the need for an additional and improved mobile version of EDU.Tube enabling teachers and students to better exploit the mobile instance of this environment.
In addition, they also addressed the mobile instance and pointed out its affordances to enable their students to experience such interactions anywhere and anytime.
In the next questions, we requested the students to specify the reasons why they preferred the regular or the mobile instance of EDU.Tube.
The analyses presented in this section indicates that the students are aware of challenges related to authoring, adaptation and use of EDU.Tube's artefacts on the mobile instance, while still recognizing the added values and potentials.
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