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Arun-Balajiee Lekshmi-Narayanan; Priti Oli; Jeevan Chapagain; Mohammad Hassany; Rabin Banjade; Vasile Rus – Grantee Submission, 2024
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…
Descriptors: Coding, Computer Science Education, Computational Linguistics, Artificial Intelligence
McNamara, Danielle S. – Grantee Submission, 2020
This article provides a commentary within the special issue, Integration: The Keystone of Comprehension. According to most contemporary frameworks, a driving force in comprehension is the reader's ability to generate the links among the words and sentences (ideas) in the texts and between the ideas in the text and what the readers already know. As…
Descriptors: Inferences, Language Processing, Reading Comprehension, Reading Research
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Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2018
While hierarchical machine learning approaches have been used to classify texts into different content areas, this approach has, to our knowledge, not been used in the automated assessment of text difficulty. This study compared the accuracy of four classification machine learning approaches (flat, one-vs-one, one-vs-all, and hierarchical) using…
Descriptors: Artificial Intelligence, Classification, Comparative Analysis, Prediction
Ruthe Foushee; Dan Byrne; Marisa Casillas; Susan Goldin-Meadow – Grantee Submission, 2022
Linguistic alignment--the contingent reuse of our interlocutors' language at all levels of linguistic structure--pervades human dialogue. Here, we design unique measures to capture the degree of linguistic alignment between interlocutors' linguistic representations at three levels of structure: lexical, syntactic, and semantic. We track these…
Descriptors: Semantics, Syntax, Vocabulary Skills, Models
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Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2017
This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…
Descriptors: Artificial Intelligence, Natural Language Processing, Reading Comprehension, Literature
Levine, Dani; Pace, Amy; Luo, Rufan; Hirsh-Pasek, Kathy; Golinkoff, Roberta Michnick; de Villiers, Jill; Igesias, Aquiles; Wilson, Mary Sweig – Grantee Submission, 2020
Early language competence is a reliable and powerful predictor of children's success in school, and word gaps linked to socioeconomic status disparities have cascading effects on academic outcomes. While early research -- such as the work of Hart and Risley (1995) -- focused on gaps in vocabulary, growing evidence reveals wide gaps in syntax as…
Descriptors: Language Skills, Socioeconomic Status, Screening Tests, Social Differences
Hildenbrand, Lena; Wiley, Jennifer – Grantee Submission, 2021
Many studies have demonstrated that testing students on to-be-learned materials can be an effective learning activity. However, past studies have also shown that some practice test formats are more effective than others. Open-ended recall or short answer practice tests may be effective because the questions prompt deeper processing as students…
Descriptors: Test Format, Outcomes of Education, Cognitive Processes, Learning Activities
Lederberg, Amy R.; Branum-Martin, Lee; Webb, Mi-young; Schick, Brenda; Antia, Shirin; Easterbrooks, Susan R.; Connor, Carol MacDonald – Grantee Submission, 2019
Better understanding of the mechanisms underlying early reading skills can lead to improved interventions. Hence, the purpose of this study was to examine multivariate associations among reading, language, spoken phonological awareness, and fingerspelling abilities for three groups of deaf and hard-of-hearing (DHH) beginning readers: those who…
Descriptors: Reading Skills, Finger Spelling, Kindergarten, Grade 1