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One mistake that I see people make is choosing a problem that is so big that they have no reasonable path to making it happen.
One caution here is that, while the student may choose the problem, he or she generally does not have the option of not choosing a problem (say, because there is nothing of intrinsic interest).
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The implications of this result for inductive logic programming and computational learning theory are then discussed, and guidelines for choosing a problem-setting are formulated.
Or something else entirely?Of course, there's no real reason one has to choose a problem to address at the expense of others.
Choose a problem of limited scope and you've limited the scope of your research career.
Choose a problem that you'd be very proud to solve".
Choose a problem that's especially rich and you'll be doing important work for decades.
Choose a problem that is sufficiently big but that you can actually tackle.
ElectronixTutor updates its profile of the student and chooses a problem that addresses deficits—schemas that the student has not yet mastered.
They found that the results were sensitive to the threshold level chosen, a problem usually ignored in the literature where results based on only one level are reported.
Once they grasp core concepts, students are able to choose a problem and use their own creativity and curiosity to research, design, test and improve a viable solution.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com