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Alexandra C. Salem; Robert C. Gale; Mikala Fleegle; Gerasimos Fergadiotis; Steven Bedrick – Journal of Speech, Language, and Hearing Research, 2023
Purpose: To date, there are no automated tools for the identification and fine-grained classification of paraphasias within discourse, the production of which is the hallmark characteristic of most people with aphasia (PWA). In this work, we fine-tune a large language model (LLM) to automatically predict paraphasia targets in Cinderella story…
Descriptors: Aphasia, Prediction, Story Telling, Oral Language
Liu, Zhi; Kong, Xi; Chen, Hao; Liu, Sannyuya; Yang, Zongkai – IEEE Transactions on Learning Technologies, 2023
In a massive open online courses (MOOCs) learning environment, it is essential to understand students' social knowledge constructs and critical thinking for instructors to design intervention strategies. The development of social knowledge constructs and critical thinking can be represented by cognitive presence, which is a primary component of…
Descriptors: MOOCs, Cognitive Processes, Students, Models
Grover, Ash – Canadian Journal for the Study of Adult Education, 2021
This research is an exploration of my evolving relationship with popular culture: as an activist, an educator, and a self-described pop-culture geek. As a biracial and queer woman working in the field of education, I am motivated to examine my own experiences with formal and informal methods of learning, addressing the social and political gaps in…
Descriptors: Films, Popular Culture, Mass Instruction, Identification
Kathleen Van Royen; Karolien Poels; Heidi Vandebosch; Bieke Zaman – International Journal of Bullying Prevention, 2022
The use of reflective interfaces has been proposed as a useful strategy to reduce cyber harassment amongst adolescents on social networking sites (SNS). By using machine-learning techniques, harassing online messages can be detected before a user submits it online, whereafter a message prompts the user to reconsider the post. This study builds…
Descriptors: Computer Mediated Communication, Bullying, Computer Software, Privacy
Youngjin Lee – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigates community sentiments and opinions regarding the use of ChatGPT in education within online user forums. Large Language Model (LLM)-based sentiment analysis was conducted on the posts and comments submitted to Teachers Subreddit, an online community for educators. The analysis revealed that the members of Teachers Subreddit…
Descriptors: Community Attitudes, Artificial Intelligence, Discourse Analysis, Computer Mediated Communication
Sanosi, Abdulaziz; Abdalla, Mohamed – Australian Journal of Applied Linguistics, 2021
This study aimed to examine the potentials of the NLP approach in detecting discourse markers (DMs), namely okay, in transcribed spoken data. One hundred thirty-eight concordance lines were presented to human referees to judge the functions of okay in them as a DM or Non-DM. After that, the researchers used a Python script written according to the…
Descriptors: Natural Language Processing, Computational Linguistics, Programming Languages, Accuracy
Producing Referring Expressions in Identification Tasks and Route Directions: What's the Difference?
Baltaretu, Adriana; Krahmer, Emiel; Maes, Alfons – Discourse Processes: A Multidisciplinary Journal, 2019
Although communicative purposes are an important element in language production, few studies investigate the extent to which they might affect referential choices. In this study we contrast two tasks with different purposes: identification and route directions giving. In Experiment 1 speakers referred to a target building nearby or further away so…
Descriptors: College Students, Foreign Countries, Identification, Expressive Language
First, Do No Harm: Automated Detection of Abusive Comments in Student Evaluation of Teaching Surveys
Cunningham, Samuel; Laundon, Melinda; Cathcart, Abby; Bashar, Md Abul; Nayak, Richi – Assessment & Evaluation in Higher Education, 2023
Student evaluation of teaching (SET) surveys are the most widely used tool for collecting higher education student feedback to inform academic quality improvement, promotion and recruitment processes. Malicious and abusive student comments in SET surveys have the potential to harm the wellbeing and career prospects of academics. Despite much…
Descriptors: Student Evaluation of Teacher Performance, Written Language, Antisocial Behavior, Language Usage
Norah M. Almubark; Gabriela Silva-Maceda; Matthew E. Foster; Trina D. Spencer – Grantee Submission, 2023
Narratives skills are associated with long-term academic and social benefits. While students with disabilities often struggle to produce complete and complex narratives, it remains unclear which aspects of narrative language are most indicative of disability. In this study, we examined the association between a variety of narrative contents and…
Descriptors: Kindergarten, Young Children, Primary Education, Elementary School Students
Stark, Brielle C.; Dutta, Manaswita; Murray, Laura L.; Fromm, Davida; Bryant, Lucy; Harmon, Tyson G.; Ramage, Amy E.; Roberts, Angela C. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Spoken discourse analysis is commonly employed in the assessment and treatment of people living with aphasia, yet there is no standardization in assessment, analysis, or reporting procedures, thereby precluding comparison/meta-analyses of data and hindering replication of findings. An important first step is to identify current practices…
Descriptors: Speech Communication, Speech Evaluation, Aphasia, Meta Analysis
Kleinberg, Bennett; Warmelink, Lara; Arntz, Arnoud; Verschuere, Bruno – Applied Cognitive Psychology, 2018
Verbal deception detection has gained momentum as a technique to tell truth-tellers from liars. At the same time, researchers' degrees of freedom make it hard to assess the robustness of effects. Replication research can help evaluate how reproducible an effect is. We present the first replication in verbal deception research whereby ferry…
Descriptors: Deception, Credibility, Verbal Communication, Bayesian Statistics
Fox Tree, Jean E.; D'Arcey, J. Trevor; Hammond, Alicia A.; Larson, Alina S. – Discourse Processes: A Multidisciplinary Journal, 2020
We tested sarcasm production and identification across original communicators in a spontaneously produced conversational setting, including testing the role of synchronous movement on sarcasm production and identification. Before communicating, stranger dyads participated in either a synchronous or nonsynchronous movement task. They then completed…
Descriptors: Language Variation, Language Usage, Task Analysis, Interpersonal Communication
Shet, Jayashree Premkumar – Journal of Language and Linguistic Studies, 2021
This study is based on the results of the research which aimed (1) to identify the cohesive devices used by Leo Tolstoy in "A grain as Big as a Hen's Egg as proposed by Halliday & Hasan and (2) to find whether substitution and ellipsis from the same story could be identified by the seven English Major students doing the Discourse Analysis…
Descriptors: Literature, Literary Genres, Authors, Grammar
Doerr, Neriko Musha; Suarez, Richard – Educational Studies: Journal of the American Educational Studies Association, 2018
This article investigates how the use of the term "immersion" to describe one's experience abroad performatively interpellates individuals and reproduces power relations. A collaboration between an anthropologist (Doerr) and a study-abroad student (Suarez), it analyzes the student's interpretation of three types of experience he had in…
Descriptors: Study Abroad, Identification, Immigrants, Power Structure
Shure, Victoria; Rösken-Winter, Bettina – Research in Mathematics Education, 2022
Teaching simulations such as scriptwriting tasks offer a novel way to support pre-service teachers in gaining diagnostic competencies and in guiding students to work through difficulties. We first report on the theory-driven development of a scriptwriting task, specifically the theoretically-founded language- and accompanying content-related…
Descriptors: Mathematics Instruction, Teaching Methods, Difficulty Level, Fractions