Advances in computational language models increasingly enable adaptive support for self-regulated learning (SRL) in digital learning environments (DLEs; eg, via automated feedback). However, the accuracy of those models is a common concern for educational stakeholders (eg, policymakers, researchers, teachers and learners themselves). We compared…

Prior research has examined the impact of different cognitive predictors on students' expository and narrative text comprehension. It has become apparent that some cognitive variables predict text comprehension in both genres, while some are genre-specific predictors. However, the effect of reading motivation on expository and narrative text…

Automaticity in recognizing the words in a text is fundamental to comprehension. If the number of words readers need to stop and decode exceeds their ability to retain their understanding of a narrative's plot or an expository text's description, their comprehension suffers. The conventional intervention for students who lack the automaticity to…