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Olney and colleagues (Olney et al. 2012) presented a method for generating questions for tutorial dialogue.
Fig. 3 Tutorial dialogue with SOPHIE (adapted from Brown et al. 1982).
AutoTutor is a leading dialogue system that was developed by observing and applying successful tutorial dialogue techniques used by human tutors to provide natural language tutorial dialogue in STEM subjects.
When a student makes one or more mistakes, s/he is presented with a tutorial dialogue selected based on the student model.
We focus in this article on assessing students' prior knowledge in dialogue-based ITSs based on characteristics of the tutorial dialogue interaction between students and such systems.
We are also interested in finding out the minimum tutorial dialogue interaction that would yield an accurate estimate of students' prior knowledge.
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Such investigation could allow for further improvements of tutorial dialogues.
In addition, the tutorial dialogues were not adaptive.
One instructional strategy that supports self-explanation and reflection is tutorial dialogues.
Tutorial dialogues have been used in a number of ITSs in order to encourage deep learning.
Novices are also unaware that they require help with the tutorial dialogues.
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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