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A Framework for Learning Assessment through Multimodal Analysis of Reading Behaviour and Language Comprehension
In a nutshell, through this dissertation, we show that multimodal skills of learners could be assessed to measure their comprehension skills as well as to measure the effect of repeated readings on these skills in the course of time, by finding significant features and by applying machine learning techniques with a combination of statistical models such as LMER.
Analyzing Effect of Repeated Reading on Oral Fluency and Narrative Production for Computer-Assisted Language Learning
Repeated reading (RR) helps learners, who have little to no experience with reading fluently to gain confidence, speed and process words automatically.
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