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Priti Oli – ProQuest LLC, 2024
This dissertation focuses on strategies and techniques to enhance code comprehension skills among students enrolled in introductory computer science courses (CS1 and CS2). We propose a novel tutoring system, "DeepCodeTutor," designed to improve the code comprehension abilities of novices. DeepCodeTutor employs scaffolded self-explanation…
Descriptors: Reading Comprehension, Tutoring, Scaffolding (Teaching Technique), Automation
Ferrazzano, Lisa Reisig – ProQuest LLC, 2013
There is significant variation in the literature on how demonstratives are characterized semantically, leading to divergent syntactic analyses of demonstratives. A major source of this disagreement regards how distance specifications relate to the demonstrative: whether [+/- speaker] is an integral property of the demonstrative or not. I argue…
Descriptors: Grammar, Generative Grammar, Semantics, Form Classes (Languages)
Garrow, William George – ProQuest LLC, 2012
This dissertation centers on the application of the mental space theory to expand our understanding of the role lexical discourse markers (LDMs) play in discourse. LDMs have been recognized by many researchers for their discourse connective function(s) (Levinson, 1983; Schiffrin, 1987; Blakemore, 1989, 2000, 2001, 2002; Fraser, 1996, 1999, 2006).…
Descriptors: American Sign Language, Discourse Analysis, Lexicology, Expressive Language
Richarte, Itzel – ProQuest LLC, 2013
This study examined the +/- presence of Spanish subject personal pronouns ("yo," "el/ella," "nosotros/nosotras," and "ellos/ellas" ) in sociolinguistic interviews of 36 Mexican-Americans from Houston, Texas (16 of 2nd generation and 20 of 3rd generation), and 20 Mexicans (control group) from Heroica…
Descriptors: Spanish, Sociolinguistics, Interviews, Mexican Americans
Tan, Lin – ProQuest LLC, 2009
Commenting source code has long been a common practice in software development. This thesis, consisting of three pieces of work, made novel use of the code comments written in natural language to improve software reliability. Our solution combines Natural Language Processing (NLP), Machine Learning, Statistics, and Program Analysis techniques to…
Descriptors: Computer Software, Coding, Reliability, Improvement

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