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Ishanti Gangopadhyay; Daniel Fulford; Kathleen Corriveau; Jessica Mow; Pearl Han Li; Sudha Arunachalam – Cognitive Science, 2024
Understanding cognitive effort expended during assessments is essential to improving efficiency, accuracy, and accessibility within these assessments. Pupil dilation is commonly used as a psychophysiological measure of cognitive effort, yet research on its relationship with effort expended specifically during language processing is limited. The…
Descriptors: Vocabulary, Difficulty Level, Motor Reactions, Cognitive Ability
Vincent Bourassa Bedard; Natacha Trudeau; Andrea A. N. MacLeod – Journal of Child Language, 2023
Current understanding of word-finding (WF) difficulties in children and their underlying language processing deficit is poor. Authors have proposed that different underlying deficits may result in different profiles. The current study aimed to better understand WF difficulties by identifying difficult tasks for children with WF difficulties and by…
Descriptors: Child Language, Word Recognition, Word Lists, Difficulty Level
Xiaopeng Zhang; Nan Gong – Studies in Second Language Acquisition, 2024
This study examined how linguistic complexity features contribute to second language (L2) processing effort by analyzing the Dutch English-L2 learners' eye movements from GECO and MECO, two eye-tracking corpora. Processing effort was operationalized as reading rate, mean fixation duration, regression rate, skipping rate, and mean saccade…
Descriptors: Second Language Learning, Linguistics, Language Processing, English (Second Language)
Spyridoula Cheimariou; Laura M. Morett – Communication Disorders Quarterly, 2024
One of the basic tenets of predictive theories of language processing is that of misprediction cost. Post-N400 positive event-related potential (ERP) components are suitable for studying misprediction cost but are not adequately described, especially in older adults, who show attenuated N400 ERP effects. We report a secondary analysis of a…
Descriptors: Prediction, Costs, Older Adults, Aging (Individuals)
Shang Jiang – Journal of Psycholinguistic Research, 2024
It has been well documented that formulaic language (such as collocations; e.g., "provide information") enjoys a processing advantage over novel language (e.g., "compare information"). In natural language use, however, many formulaic sequences are often inserted with words intervening in between the individual constituents…
Descriptors: Phrase Structure, Language Processing, Psycholinguistics, Orthographic Symbols
Yanyan Zhang; Xiaomin Lai; Suping Yi; Yefeng Lu – Education and Information Technologies, 2025
A new kind of reading platform supported by ChatGPT has quickly become a popular research assistant among students due to its instant natural language interaction and question-answering capabilities. This study explored the effects of ChatGPT-based reading platform on student's foreign language paper reading. A total of 64 undergraduate students…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Undergraduate Students
Zhao, Licui; Kojima, Haruyuki; Yasunaga, Daichi; Irie, Koji – Journal of Psycholinguistic Research, 2023
In order to examine whether syntactic processing is a necessary prerequisite for semantic integration in Japanese, cortical activation was monitored while participants engaged in silent reading task. Congruous sentences (CON), semantic violation sentences (V-SEM), and syntactic violation sentences (V-SYN) were presented in the experiment. The…
Descriptors: Japanese, Syntax, Semantics, Brain Hemisphere Functions
Lae Lae Shwe; Sureena Matayong; Suntorn Witosurapot – Education and Information Technologies, 2024
Multiple Choice Questions (MCQs) are an important evaluation technique for both examinations and learning activities. However, the manual creation of questions is time-consuming and challenging for teachers. Hence, there is a notable demand for an Automatic Question Generation (AQG) system. Several systems have been created for this aim, but the…
Descriptors: Difficulty Level, Computer Assisted Testing, Adaptive Testing, Multiple Choice Tests
Ella Shalit; Dror Dotan – Cognitive Research: Principles and Implications, 2024
Reading numbers aloud, a central aspect of numerical literacy, is a challenging skill to acquire, but the origins of this difficulty remain poorly understood. To investigate this matter, we examined the performance of 127 third- and fourth-grade children who read aloud, in Hebrew, numbers with 2-5 digits. We found several key observations. First,…
Descriptors: Difficulty Level, Elementary School Students, Numeracy, Literacy
Pelzl, Eric; Lau, Ellen F.; Guo, Taomei; DeKeyser, Robert – Studies in Second Language Acquisition, 2021
Lexical tones are widely believed to be a formidable learning challenge for adult speakers of nontonal languages. While difficulties--as well as rapid improvements--are well documented for beginning second language (L2) learners, research with more advanced learners is needed to understand how tone perception difficulties impact word recognition…
Descriptors: Second Language Learning, Mandarin Chinese, Intonation, Difficulty Level
Scheer, Tobias; Mathy, Fabien – Cognitive Science, 2021
The input to phonological reasoning are alternations, that is, variations in the pronunciation of related words, such as in "electri[k]" - "electri[s]-ity." But phonologists cannot agree what counts as a relevant alternation: the issue is highly contentious despite a research record of over 50 years. We believe that the…
Descriptors: Reaction Time, Phonology, Language Processing, Difficulty Level
Using GPT and Authentic Contextual Recognition to Generate Math Word Problems with Difficulty Levels
Wu-Yuin Hwang; Ika Qutsiati Utami – Education and Information Technologies, 2024
Automatic generation of math word problems (MWPs) is a challenging task in Natural Language Processing (NLP), particularly connecting it to real-life problems because it can benefit students in developing a higher level of mathematical thinking. However, most of the MWPs are presented within a scholastic setting in a decontextualized way. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Mathematics Education, Word Problems (Mathematics)
Tuyuan Cheng – Journal of Psycholinguistic Research, 2023
The relationship between working memory (WM) and language processing has been extensively investigated in cognitive research. Previous studies mostly obtain evidence from measuring the involvement of WM in complex syntactic structures reported with well-established processing asymmetry, e.g., relative clauses (RCs) in English. Rarely considered is…
Descriptors: Memory, Interference (Learning), Short Term Memory, Language Processing
Chen, Zhong; Hale, John T. – Cognitive Science, 2021
Information-theoretic complexity metrics, such as Surprisal (Hale, 2001; Levy, 2008) and Entropy Reduction (Hale, 2003), are linking hypotheses that bridge theorized expectations about sentences and observed processing difficulty in comprehension. These expectations can be viewed as syntactic derivations constrained by a grammar. However, this…
Descriptors: Sentences, Language Processing, Phrase Structure, Nouns
Phillips, Tanner M.; Saleh, Asmalina; Ozogul, Gamze – International Journal of Artificial Intelligence in Education, 2023
Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…
Descriptors: Reflection, Artificial Intelligence, Natural Language Processing, Data Collection