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Peer reviewedArun-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
Download full textUK Department for Education, 2024
This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Computational Linguistics
Direct linkChou, Shih Yung; Luo, Jiaxi; Ramser, Charles – Journal of International Education in Business, 2021
Purpose: The purpose of this study is to examine student sentiments regarding high-quality vs low-quality teaching. Design/methodology/approach: This study uses a text mining technique to identify the positive and negative patterns of student sentiments from student evaluations of teaching (SET) provided on Ratemyprofessors.com. After identifying…
Descriptors: Educational Quality, Student Attitudes, Positive Attitudes, Negative Attitudes
Erarslan, Ali – Shanlax International Journal of Education, 2021
Metadiscourse is a tool for writers to guide and interact with readers through texts. Yet in most student texts, one of the points lacking is the interaction between writers and readers. In this study, frequency and type of interactive and interactional metadiscourse features were explored via students' research-based essays based on Hyland's…
Descriptors: Correlation, Taxonomy, Essays, Discourse Analysis
Taylor, Z. W. – Journal of Student Affairs Research and Practice, 2019
Research suggests that L2 students (English-language learners) do not access postsecondary education as the same level as L1 (native English-speaking) peers. Using a computational linguistics approach, this study analyzes financial aid application instructions from 341 randomly selected four-year, Title IV-participating U.S. institutions. Results…
Descriptors: Student Financial Aid, Second Language Learning, Achievement Gap, Academic Achievement
Munalim, Leonardo O. – Journal of English as an International Language, 2019
The number of minutes appended in headlines serves as a signpost for readers regarding the reading time. Being the first on Minute News, this present quantitative study reports the results from comparative analyses of text contents of one-to-five Minute News published by one Philippine and one American media outlet in November 2018. Selected…
Descriptors: News Reporting, Contrastive Linguistics, Content Analysis, Computational Linguistics
Goh, Tiong-Thye; Sun, Hui; Yang, Bing – Computer Assisted Language Learning, 2020
This study investigates the extent to which microfeatures -- such as basic text features, readability, cohesion, and lexical diversity based on specific word lists -- affect Chinese EFL writing quality. Data analysis was conducted using natural language processing, correlation analysis and stepwise multiple regression analysis on a corpus of 268…
Descriptors: Essays, Writing Tests, English (Second Language), Second Language Learning
Schillinger, Dean; Balyan, Renu; Crossley, Scott A.; McNamara, Danielle S.; Liu, Jennifer Y.; Karter, Andrew J. – Grantee Submission, 2020
Objective: To develop novel, scalable, and valid literacy profiles for identifying limited health literacy patients by harnessing natural language processing. Data Source: With respect to the linguistic content, we analyzed 283 216 secure messages sent by 6941 diabetes patients to physicians within an integrated system's electronic portal.…
Descriptors: Literacy, Profiles, Computational Linguistics, Syntax
Jeon, Moongee – Journal of Pan-Pacific Association of Applied Linguistics, 2014
This article investigates the lexical and discourse features of English text and discourse with automated computer technologies. Specifically, this article examines the cohesion of English text and discourse with automated computer tools, Coh-Metrix and TEES. Coh-Metrix is a text analysis computer tool that can analyze English text and discourse…
Descriptors: Connected Discourse, Computational Linguistics, Textbooks, Discourse Analysis
Crossley, Scott A.; Skalicky, Stephen; Dascalu, Mihai; McNamara, Danielle S.; Kyle, Kristopher – Discourse Processes: A multidisciplinary journal, 2017
Research has identified a number of linguistic features that influence the reading comprehension of young readers; yet, less is known about whether and how these findings extend to adult readers. This study examines text comprehension, processing, and familiarity judgment provided by adult readers using a number of different approaches (i.e.,…
Descriptors: Reading Processes, Reading Comprehension, Readability, Adults
McNamara, Danielle S.; Louwerse, Max M.; McCarthy, Philip M.; Graesser, Arthur C. – Discourse Processes: A Multidisciplinary Journal, 2010
This study addresses the need in discourse psychology for computational techniques that analyze text on multiple levels of cohesion and text difficulty. Discourse psychologists often investigate phenomena related to discourse processing using lengthy texts containing multiple paragraphs, as opposed to single word and sentence stimuli.…
Descriptors: Computational Linguistics, Connected Discourse, Difficulty Level, Rhetoric
Aziz, Anealka; Fook, Chan Yuen; Alsree, Zubaida – Advances in Language and Literary Studies, 2010
Reading materials are considered having high readability if readers are interested to read the materials, understand the content of the materials and able to read the materials fluently. In contrast, reading materials with low readability discourage readers from reading the materials, create difficulties for readers to understand the content of…
Descriptors: Readability, Computational Linguistics, Reading Materials, Second Language Learning
