Title | Automatically Generating Reading Comprehension Look-Back Strategy Questions from Expository Texts |
Publication Type | Thesis |
Year of Publication | 2008 |
Authors | Gates D |
University | Carnegie Mellon University |
City | Pittsburgh, Pennsylvania |
Abstract | Learning to read is an important skill for both children and adults whether it takes place in their first language or their second language. According to the National Center for Educational Statistics 2003 Assessment (released 2007), 5% of adults (16 years and older) in the US are functionally non-literate. Adults who enroll in literacy programs in the United States desire to improve reading skills for the purposes of acquiring a high-school graduate equivalence degree, improving job skills, reaching career goals, enjoying reading, gaining access to better health care or helping their own children with homework. Resources are limited as literacy programs often rely on volunteer tutors and variable funding sources. Computers are increasingly used to assist in the tutoring process. Improving the computer’s ability to aid in this process with useful tools for instructors and students will allow students access to more reading material and provide more opportunities to read. The primary goal for everyone is to increase reading and reading ability. |
URL | http://www.lti.cs.cmu.edu/Research/Tech%20Reports/CMU-LTI-08-011%20Automatically%20Generating%20Reading%20Comprehension%20Look-Back%20Strategy%20Questions%20from%20Expository%20Texts.pdf |
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