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Fromm, Davida; MacWhinney, Brian; Thompson, Cynthia K. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Analysis of spontaneous speech samples is important for determining patterns of language production in people with aphasia. To accomplish this, researchers and clinicians can use either hand coding or computer-automated methods. In a comparison of the two methods using the hand-coding NNLA (Northwestern Narrative Language Analysis) and…
Descriptors: Automation, Computational Linguistics, Aphasia, Coding
Liu, Houjun; MacWhinney, Brian; Fromm, Davida; Lanzi, Alyssa – Journal of Speech, Language, and Hearing Research, 2023
Purpose: A major barrier to the wider use of language sample analysis (LSA) is the fact that transcription is very time intensive. Methods that can reduce the required time and effort could help in promoting the use of LSA for clinical practice and research. Method: This article describes an automated pipeline, called Batchalign, that takes raw…
Descriptors: Automation, Language Tests, Computational Linguistics, Morphology (Languages)

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
Anglin, Kylie; Boguslav, Arielle; Hall, Todd – Grantee Submission, 2020
Text classification has allowed researchers to analyze natural language data at a previously impossible scale. However, a text classifier is only as valid as the the annotations on which it was trained. Further, the cost of training a classifier depends on annotators' ability to quickly and accurately apply the coding scheme to each text. Thus,…
Descriptors: Documentation, Natural Language Processing, Classification, Research Design
Maertens, Rien; Van Petegem, Charlotte; Strijbol, Niko; Baeyens, Toon; Jacobs, Arne Carla; Dawyndt, Peter; Mesuere, Bart – Journal of Computer Assisted Learning, 2022
Background: Learning to code is increasingly embedded in secondary and higher education curricula, where solving programming exercises plays an important role in the learning process and in formative and summative assessment. Unfortunately, students admit that copying code from each other is a common practice and teachers indicate they rarely use…
Descriptors: Plagiarism, Benchmarking, Coding, Computer Science Education
Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
Nina Spada – Language Learning & Language Teaching, 2024
This volume presents the second edition of the "Communicative Orientation of Language Teaching (COLT) Observation Scheme." Since the book's original publication, COLT has become well established as a research instrument in L2 teaching and learning. This new edition brings COLT into the 21st century by introducing digital versions of the…
Descriptors: Second Language Learning, Second Language Instruction, Web Based Instruction, Teaching Methods
Cai, Zhiqiang; Siebert-Evenstone, Amanda; Eagan, Brendan; Shaffer, David Williamson; Hu, Xiangen; Graesser, Arthur C. – Grantee Submission, 2019
Coding is a process of assigning meaning to a given piece of evidence. Evidence may be found in a variety of data types, including documents, research interviews, posts from social media, conversations from learning platforms, or any source of data that may provide insights for the questions under qualitative study. In this study, we focus on text…
Descriptors: Semantics, Computational Linguistics, Evidence, Coding
Song, Yu; Lei, Shunwei; Hao, Tianyong; Lan, Zixin; Ding, Ying – Journal of Educational Computing Research, 2021
Due to benefits for teaching and learning, an increasing number of studies have focused on classroom dialogue and how to make it productive. Coding, in which the transcribed conversation is allocated to a set of features, is commonly employed to deal with the textual data arising from this dialogue. This is generally done manually and cannot…
Descriptors: Semantics, Classification, Classroom Communication, Dialogs (Language)
Monaghan, Padraic; Rowland, Caroline F. – Language Learning, 2017
Historically, first language acquisition research was a painstaking process of observation, requiring the laborious hand coding of children's linguistic productions, followed by the generation of abstract theoretical proposals for how the developmental process unfolds. Recently, the ability to collect large-scale corpora of children's language…
Descriptors: Computational Linguistics, Language Acquisition, Language Research, Second Language Learning
Rona-Tas, Akos; Cornuéjols, Antoine; Blanchemanche, Sandrine; Duroy, Antonin; Martin, Christine – Sociological Methods & Research, 2019
Recently, both sociology of science and policy research have shown increased interest in scientific uncertainty. To contribute to these debates and create an empirical measure of scientific uncertainty, we inductively devised two systems of classification or ontologies to describe scientific uncertainty in a large corpus of food safety risk…
Descriptors: Food, Risk, Safety, Classification
Taniguchi, Yuta; Konomi, Shin'ichi; Goda, Yoshiko – International Association for Development of the Information Society, 2019
This study discusses the automatic coding methods of the Community of Inquiry (CoI) framework for multilingual contexts, in particular. In universities, foreign students cannot be overlooked, and learning systems are also required to work in multilingual situations. However, none of the existing work has addressed the lack of language-agnostic and…
Descriptors: Coding, Multilingualism, Foreign Students, College Students
Kintz, Stephen; Wright, Heather Harris – Discourse Processes: A multidisciplinary journal, 2017
Semantic memory is relatively stable across the lifespan (LaBarge, Edwards, & Knesevich, 1986). However, most research has been conducted at the single concept level (LaBarge et al., 1986, Spaniol et al., 2006). Few researchers have examined how semantic knowledge is used in discourse. The purpose of the study, then, was to determine the…
Descriptors: Semantics, Age Differences, Discourse Analysis, Memory
Ávila-Reyes, Natalia – London Review of Education, 2017
As texts enact historically situated ways of making knowledge, intertextual analysis through citation patterns can shed some light on a community's epistemologies. The present research seeks a deeper understanding of the theoretical trends, the influences, and the emerging disciplinary configuration of the writing studies community in Latin…
Descriptors: Epistemology, Foreign Countries, Network Analysis, Academic Discourse
Nippold, Marilyn A.; Frantz-Kaspar, Megan W.; Vigeland, Laura M. – Journal of Speech, Language, and Hearing Research, 2017
Purpose: In this study, we examined syntactic complexity in the spoken language samples of young adults. Its purpose was to contribute to the expanding knowledge base in later language development and to begin building a normative database of language samples that potentially could be used to evaluate young adults with known or suspected language…
Descriptors: Oral Language, Syntax, Structural Analysis (Linguistics), Interviews