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Improving Reader Motivation With Machine Learning, Tanner A. Bohn
Improving Reader Motivation With Machine Learning, Tanner A. Bohn
Electronic Thesis and Dissertation Repository
This thesis focuses on the problem of increasing reading motivation with machine learning (ML). The act of reading is central to modern human life, and there is much to be gained by improving the reading experience. For example, the internal reading motivation of students, especially their interest and enjoyment in reading, are important factors in their academic success.
There are many topics in natural language processing (NLP) which can be applied to improving the reading experience in terms of readability, comprehension, reading speed, motivation, etc. Such topics include personalized recommendation, headline optimization, text simplification, and many others. However, to the …
The Impact Of Computer-Assisted Sight Word Instruction On The Reading Skills Of Students With Significant Intellectual Disabilities, Colleen Frances Wood-Fields
The Impact Of Computer-Assisted Sight Word Instruction On The Reading Skills Of Students With Significant Intellectual Disabilities, Colleen Frances Wood-Fields
Communication Disorders & Special Education Theses & Dissertations
There is a paucity of research identifying instructional methods that promote the reading development of students with significant intellectual disabilities (ID). This research study employed a single subject, multiple baseline design to evaluate the effects of computer-assisted sight word instruction employing constant time delay (CTD) procedures with incidental phonics and comprehension stimuli on the reading skill development of six elementary students with moderate ID and expressive language impairments. Study results suggest that the seven week PowerPoint slide show sight word intervention had very small to moderate intervention effects on receptive sight word identification. However, students learned some incidental letter-sound correspondences …