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Nana Lehtinen; Anna Kautto; Kati Renvall – Language Learning Journal, 2024
Verbal Fluency (VF) task total scores are widely used in language attrition studies, but they do not provide insight into the processes underlying optimal performance. We analyse the efficacy of clustering (subcategories within a category) and switching (shifting between these subcategories) strategies in phonemic (PVF) and semantic (SVF) tasks.…
Descriptors: Language Fluency, Verbal Communication, Semantics, Phonemics
Antony, James W.; Bennion, Kelly A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Semantic similarity between stimuli can lead to false memories and can also potentially cause retroactive interference (RI) for veridical memories. Here, participants first learned spatial locations for "critical" words that reliably produce false memories in the Deese-Roediger-McDermott paradigm. Next, participants centrally viewed…
Descriptors: Semantics, Task Analysis, Spatial Ability, Ambiguity (Semantics)
Hannah K. D’Apice; Patricia Bromley – Environmental Education Research, 2023
Anthropogenic climate change is a scientific fact, but U.S. public discourse around the issue remains mired in controversy, including in education. Our study leverages natural language processing methods to give a precise look into the extent to which climate change-related topics are covered in 30 of the most widely used high school history…
Descriptors: Environmental Education, Climate, Discourse Analysis, United States History
Dillon, Brian; Andrews, Caroline; Rotello, Caren M.; Wagers, Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
One perennially important question for theories of sentence comprehension is whether the human sentence processing mechanism is "parallel" (i.e., it simultaneously represents multiple syntactic analyses of linguistic input) or "serial" (i.e., it constructs only a single analysis at a time). Despite its centrality, this question…
Descriptors: Language Processing, Comprehension, Sentence Structure, Reading Comprehension
Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
Blott, Lena M.; Rodd, Jennifer M.; Ferreira, Fernanda; Warren, Jane E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Misinterpretations during language comprehension are common. The ability to recover from processing difficulties is therefore crucial for successful day-to-day communication. Previous research on the recovery from misinterpretations has focused on sentences containing syntactic ambiguities. The present study instead investigated the outcome of…
Descriptors: Reading Comprehension, Sentences, Misconceptions, Language Processing
Karimi, Hossein; Diaz, Michele; Ferreira, Fernanda – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
We examined whether the position of modifiers in English influences how words are encoded and subsequently retrieved from memory. Compared with premodifiers, postmodifiers might confer more perceptual significance to the associated head nouns, are more consistent with the "given-before-new" information structure, and might also be easier…
Descriptors: Form Classes (Languages), Grammar, Phrase Structure, Nouns
Shergill, Gagan; Camozzi, Hailey; O'Malley, Meagan D.; Ortiz, Arlene – Journal of Psychoeducational Assessment, 2023
The Comprehensive Test of Phonological Processing, 2nd Edition (CTOPP-2; Wagner et al., 2013) is commonly used in k-12 public schools to assess basic cognitive processing skills foundational for reading achievement. Psychometric support for its use with dual language learners (DLLs), a group representing over 10% of the school-aged population in…
Descriptors: Phonology, Language Processing, Bilingualism, English (Second Language)
Order of Mention in Causal Sequences: Talking about Cause and Effect in Narratives and Warning Signs
Kaiser, Elsi – Discourse Processes: A Multidisciplinary Journal, 2019
Causal sequences can be segmented into cause and effect. However, some argue causal relations in discourse are by default in "effect-cause" order. Others claim "cause-effect" order is easier to process and the default way of expressing causality, due to iconicity. We conducted experiments testing participants' production…
Descriptors: Attribution Theory, Discourse Analysis, Language Processing, Decision Making
Crossley, Scott; Kyle, Kristopher; Davenport, Jodi; McNamara, Danielle S. – International Educational Data Mining Society, 2016
This study introduces the Constructed Response Analysis Tool (CRAT), a freely available tool to automatically assess student responses in online tutoring systems. The study tests CRAT on a dataset of chemistry responses collected in the ChemVLab+. The findings indicate that CRAT can differentiate and classify student responses based on semantic…
Descriptors: Intelligent Tutoring Systems, Chemistry, Natural Language Processing, High School Students
Stefan Ruseti; Mihai Dascalu; Amy M. Johnson; Renu Balyan; Kristopher J. Kopp; Danielle S. McNamara – Grantee Submission, 2018
This study assesses the extent to which machine learning techniques can be used to predict question quality. An algorithm based on textual complexity indices was previously developed to assess question quality to provide feedback on questions generated by students within iSTART (an intelligent tutoring system that teaches reading strategies). In…
Descriptors: Questioning Techniques, Artificial Intelligence, Networks, Classification
Brothers, Trevor; Traxler, Matthew J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Previous evidence suggests that grammatical constraints have a rapid influence during language comprehension, particularly at the level of word categories (noun, verb, preposition). These findings are in conflict with a recent study from Angele, Laishley, Rayner, and Liversedge (2014), in which sentential fit had no early influence on word…
Descriptors: Syntax, Grammar, Reading, Eye Movements
Balyan, Renu; Crossley, Scott A.; Brown, William, III; Karter, Andrew J.; McNamara, Danielle S.; Liu, Jennifer Y.; Lyles, Courtney R.; Schillinger, Dean – Grantee Submission, 2019
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patient health literacy challenging. The objective of this study was to develop and validate…
Descriptors: Patients, Literacy, Health Services, Profiles
Geffen, Susan; Mintz, Toben H. – Language Learning and Development, 2015
Word order is a core mechanism for conveying syntactic structure, yet interrogatives usually disrupt canonical word orders. For example, in English, polar interrogatives typically invert the subject and auxiliary verb and insert an utterance-initial "do" if no auxiliary is present. These word order patterns result from differences in the…
Descriptors: Infants, Word Order, Language Acquisition, Language Processing
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