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Nezihe Korkmaz Guler; Zeynep Gul Dertli; Elif Boran; Bahadir Yildiz – Pedagogical Research, 2024
The aim of the research is to investigate the academic achievement of ChatGPT, an artificial intelligence based chatbot, in a national mathematics exam. For this purpose, 3.5 and 4 versions of ChatGPT were asked mathematics questions in a national exam. The method of the research is a case study. In the research, 3.5 and 4 versions of ChatGPT were…
Descriptors: Mathematics Education, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Moira Newton; Rebecca Jesson; Judy Parr – Australian Journal of Language and Literacy, 2023
Children's increasing expertise in composition relies partly on word choice. Little is known about how children consider words as they write, their meta-lexical awareness, or about their choice of words for writing. In this study, we investigate children's meta-lexical awareness, as one aspect of their metalinguistic awareness, which guides their…
Descriptors: Metalinguistics, Writing (Composition), Vocabulary Skills, Writing Achievement
Stephen Kintz; Hana Kim; Heather Harris Wright – International Journal of Language & Communication Disorders, 2024
Background: Core lexicon (CL) analysis is a time efficient and possibly reliable measure that captures discourse production abilities. For people with aphasia, CL scores have demonstrated correlations with aphasia severity, as well as other discourse and linguistic measures. It was also found to be clinician-friendly and clinically sensitive…
Descriptors: Vocabulary Skills, Dementia, Measures (Individuals), Language Skills
Qiao, Chen; Hu, Xiao – IEEE Transactions on Learning Technologies, 2023
Free text answers to short questions can reflect students' mastery of concepts and their relationships relevant to learning objectives. However, automating the assessment of free text answers has been challenging due to the complexity of natural language. Existing studies often predict the scores of free text answers in a "black box"…
Descriptors: Computer Assisted Testing, Automation, Test Items, Semantics
Perlman-Arrow, Sara; Loo, Noel; Bobrovitz, Niklas; Yan, Tingting; Arora, Rahul K. – Research Synthesis Methods, 2023
The laborious and time-consuming nature of systematic review production hinders the dissemination of up-to-date evidence synthesis. Well-performing natural language processing (NLP) tools for systematic reviews have been developed, showing promise to improve efficiency. However, the feasibility and value of these technologies have not been…
Descriptors: Natural Language Processing, Screening Tests, COVID-19, Pandemics
Torres-Jimenez, Jose; Lescano, Germán; Lara-Alvarez, Carlos; Mitre-Hernandez, Hugo – Education and Information Technologies, 2023
Conflicts play an important role to improve group learning effectiveness; they can be decreased, increased, or ignored. Given the sequence of messages of a collaborative group, we are interested in recognizing conflicts (detecting whether a conflict exists or not). This is not an easy task because of different types of natural language…
Descriptors: Conflict, Identification, Computer Assisted Instruction, Cooperative Learning
Monteiro, Kátia; Crossley, Scott; Botarleanu, Robert-Mihai; Dascalu, Mihai – Language Testing, 2023
Lexical frequency benchmarks have been extensively used to investigate second language (L2) lexical sophistication, especially in language assessment studies. However, indices based on semantic co-occurrence, which may be a better representation of the experience language users have with lexical items, have not been sufficiently tested as…
Descriptors: Second Language Learning, Second Languages, Native Language, Semantics
Düzenli-Öztürk, Seren; Hünerli-Gündüz, Duygu; Emek-Savas, Derya Durusu; Olichney, John; Yener, Görsev G.; Ergenç, H. Iclal – Journal of Psycholinguistic Research, 2022
Semantic priming in Turkish was examined in 36 right-handed healthy participants in a delayed lexical decision task via taxonomic relations using EEG. Prime--target relations included related- unrelated- and pseudo-words. Taxonomically related words at long stimulus onset asynchrony (SOA) were shown to modulate N400 and late positive component…
Descriptors: Taxonomy, Semantics, Priming, Turkish
Li, Wei; Rohde, Hannah; Corley, Martin – Journal of Autism and Developmental Disorders, 2022
How do we decide whether a statement is literally true? Here, we contrast participants' eventual evaluations of a speaker's meaning with the real-time processes of comprehension. We record participants' eye movements as they respond to potentially misleading instructions to click on one of two objects which might be concealing treasure ("the…
Descriptors: Autism Spectrum Disorders, Deception, Cognitive Processes, Scores
Mohamed A. Mekheimer; A. I. Fageeh – Discover Education, 2025
This study investigated the impact of information density on English as a Foreign Language (EFL) listening comprehension, testing the hypothesis that listeners prioritize message understanding in information-rich discourse over grammar-focused analysis in rhetorical discourse. A quasi-experimental design was employed with 26 EFL college students,…
Descriptors: Listening Comprehension, English (Second Language), Second Language Learning, Second Language Instruction
Asma Almusharraf; Hassan Saleh Mahdi; Haifa Al-Nofaie; Elham Ghobain; Amal Aljasser – Journal of Psycholinguistic Research, 2024
The present study examines the impact of implementing video captioning and subtitles on listening comprehension with special reference to the speaker's speed. A total of 64 undergraduate Saudi EFL learners were assigned into six groups: fast speaker with full captioning, fast speaker with subtitles, fast speaker with no captioning nor subtitles,…
Descriptors: Listening Comprehension, Video Technology, English (Second Language), Second Language Learning
Husam M. Alawadh; Talha Meraj; Lama Aldosari; Hafiz Tayyab Rauf – SAGE Open, 2024
E-learning systems are transforming the educational sector and making education more affordable and accessible. Recently, many e-learning systems have been equipped with advanced technologies that facilitate the roles of educators and increase the efficiency of teaching and learning. One such technology is Automatic Essay Grading (AEG) or…
Descriptors: Essays, Writing Evaluation, Computer Software, Technology Uses in Education
Lee, On-Soon – Journal of Psycholinguistic Research, 2023
This study investigates whether statistical learning ability, conceptualized as a cognitive ability to learn regularities implicitly, is a good predictor for L2 learners' online language processing performance. Native-English-speaking adults, as a control group, and native-Korean-speaking adult L2 learners of English participated. They completed:…
Descriptors: Statistics, Second Language Learning, English (Second Language), Sentences
Skalicky, Stephen – Discourse Processes: A Multidisciplinary Journal, 2022
Informed by a theoretical model of satirical uptake, this study investigated processing behavior and comprehension of satirical news articles. Reading times for segments of minimally different satirical and non-satirical texts were collected using within-subjects (Experiment 1) and between-subjects (Experiment 2) designs. Segment reading times and…
Descriptors: Satire, Language Processing, Reading Rate, Prediction
Delgado, Pablo; Salmerón, Ladislao – Discourse Processes: A Multidisciplinary Journal, 2022
In the present article, we examined the effect of the reading medium and the reading time-frame on text processing, metacognitive monitoring of comprehension, and comprehension outcomes. The eye movements of 116 undergraduates were recorded while they read three texts in print and three texts on a tablet under self-paced reading time or under time…
Descriptors: Reading Processes, Language Processing, Reading Comprehension, Printed Materials