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- W3034481137 abstract "Learning by repetition is a way of learning that involves repeated actions allowing to develop a skill. For STEM disciplines one way of learning by repetition is to use Auto-Generative Learning Objects. They are used to create content variations in each of the designed learning scenarios. One solution to create variation is to use random numbers produced by random number generators. The problem with random numbers is that they cannot be used directly in learning objects except for a few simple cases. They need to be transformed into consistent or controlled random values necessary for the learning scenario in sections like: question, answer and feedback. One possible solution for the transformation of random data into consistent or controlled random data is to design specialized and reusable libraries in this sense. Thus, Auto-Generative Learning Objects creation will rely heavily on controlled random data produced by these libraries." @default.
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- W3034481137 date "2019-05-01" @default.
- W3034481137 modified "2023-09-26" @default.
- W3034481137 title "On the Generation of Random Data for Auto-Generative Learning Objects" @default.
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- W3034481137 doi "https://doi.org/10.1109/saci46893.2019.9111603" @default.
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