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Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
Fulya Ersoy; Derek Rury – Annenberg Institute for School Reform at Brown University, 2025
The gender gap in STEM careers is shaped in part by educational choices. This study investigates two interventions--absolute performance feedback and personalized advice--aiming at narrowing the gender disparities in investments in math skills. Using an online lab experiment, participants chose between a math or verbal task after receiving one of…
Descriptors: STEM Careers, STEM Education, Intervention, Feedback (Response)
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Peña, Javier; Muthalib, Makii; Sampedro, Agurne; Cardoso-Botelho, Mafalda; Zabala, Oihana; Ibarretxe-Bilbao, Naroa; García-Guerrero, Acebo; Zubiaurre-Elorza, Leire; Ojeda, Natalia – Journal of Creative Behavior, 2023
Creativity is a fundamental human accomplishment from scientific advances to composing music. The left dorsolateral prefrontal cortex (DLPFC) and inferior frontal gyrus (IFG) are important metacontrol hubs in flexibility and persistence brain states, respectively. Those hubs are related to divergent thinking, insight problem-solving, and…
Descriptors: Creativity, Acoustics, Brain Hemisphere Functions, Comparative Analysis
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Brian Weiler; Ling-Yu Guo – Language, Speech, and Hearing Services in Schools, 2024
Purpose: The finite verb morphology composite (FVMC) is a valid measure for charting children's tense development and for differentiating children with and without language impairment during preschool and early elementary years. However, it is unclear whether FVMC scores vary as a function of language sample elicitation contexts. The current study…
Descriptors: Verbs, Preschool Children, Morphology (Languages), Accuracy
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Matt I. Brown; Patrick R. Heck; Christopher F. Chabris – Journal of Autism and Developmental Disorders, 2024
The Social Shapes Test (SST) is a measure of social intelligence which does not use human faces or rely on extensive verbal ability. The SST has shown promising validity among adults without autism spectrum disorder (ASD), but it is uncertain whether it is suitable for adults with ASD. We find measurement invariance between adults with (n = 229)…
Descriptors: Interpersonal Competence, Autism Spectrum Disorders, Emotional Intelligence, Verbal Ability
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Meyerhoff, Hauke S.; Grinschgl, Sandra; Papenmeier, Frank; Gilbert, Sam J. – Cognitive Research: Principles and Implications, 2021
The cognitive load of many everyday life tasks exceeds known limitations of short-term memory. One strategy to compensate for information overload is cognitive offloading which refers to the externalization of cognitive processes such as reminder setting instead of memorizing. There appears to be remarkable variance in offloading behavior between…
Descriptors: Individual Differences, Task Analysis, Reliability, Short Term Memory
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Shannon Ryan; Thomas J. Power; Laura Pendergast; Bridget Poznanski; Jenelle Nissley-Tsiopinis; Howard Abikoff; Richard Gallagher; Katie Tremont; Jaclyn Cacia; Jennifer A. Mautone – Grantee Submission, 2024
Organization, time management, and planning (OTMP) skills are behavioral manifestations of executive functioning linked to academic outcomes. Interventions to improve OTMP skills have shown favorable outcomes. The Children's Organizational Skills Scale parent and teacher forms (COSS-P, COSS-T) are widely used for assessing OTMP skills, but there…
Descriptors: Psychometrics, Rating Scales, Executive Function, Time Management
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Shannon Ryan; Thomas J. Power; Laura Pendergast; Bridget Poznanski; Jenelle Nissley-Tsiopinis; Howard Abikoff; Richard Gallagher; Katie Tremont; Jaclyn Cacia; Jennifer A. Mautone – School Mental Health, 2024
Organization, time management, and planning (OTMP) skills are behavioral manifestations of executive functioning linked to academic outcomes. Interventions to improve OTMP skills have shown favorable outcomes. The Children's Organizational Skills Scale parent and teacher forms (COSS-P, COSS-T) are widely used for assessing OTMP skills, but there…
Descriptors: Psychometrics, Rating Scales, Executive Function, Time Management
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Vitrano, Deana; Altarriba, Jeanette; Leblebici-Basar, Deniz – Journal of Creative Behavior, 2021
S.A. Mednick (1962) proposed a theory of creativity suggesting that highly creative individuals can produce more word associations to a stimulus than less creative individuals. Numerous studies have supported this theory using the Remote Associates Test (RAT) as the measure of creativity. Additionally, some studies have suggested that…
Descriptors: Word Frequency, Associative Learning, Task Analysis, Creativity
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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
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Peña, Javier; Sampedro, Agurne; Gómez-Gastiasoro, Ainara; Ibarretxe-Bilbao, Naroa; Zubiaurre-Elorza, Leire; Aguiar, Covadonga; Ojeda, Natalia – Journal of Creative Behavior, 2021
Transcranial random noise stimulation (tRNS) increases performance in some perceptual tasks. However, little is known about its effect on creativity. Although dorsolateral prefrontal cortex (DLPFC) has been postulated as an important cortical area related to creativity, the relative role of left and right DLPFC is still unclear. We aimed to…
Descriptors: Creativity, Acoustics, Brain Hemisphere Functions, Creative Thinking
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Lee Jia Yi, Janice; Aryadoust, Vahid; Ng, Li Ying; Foo, Stacy – International Journal of Listening, 2023
With the advent of new technologies, assessment research has adopted technology-based methods to investigate test validity. This study investigated the neurocognitive processes involved in an academic listening comprehension test, using a biometric technique called functional near-infrared spectroscopy (fNIRS). Sixteen right-handed university…
Descriptors: Test Validity, Brain Hemisphere Functions, Spectroscopy, Undergraduate Students
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Jakob Åsberg Johnels; Christian Waldmann; Maria Levlin – Journal of Research in Reading, 2024
Background: Phonological processing skills have been found to contribute to spelling development across different orthographies; however, less is known about the role of orthographic knowledge. This longitudinal study explores the contribution of phonological and orthographic knowledge to spelling development in a semi-transparent orthography…
Descriptors: Spelling, Longitudinal Studies, Scores, Secondary School Students
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Nagle, Charlie L.; Trofimovich, Pavel; O'Brien, Mary Grantham; Kennedy, Sara – Modern Language Journal, 2022
Comprehensibility has emerged as a useful and intuitive means of globally evaluating second language (L2) speakers in many research and instructional contexts. In most cases, L2 speakers' comprehensibility is assessed by external listeners who do not engage in extensive communication with the speakers, even though the degree to which a speaker is…
Descriptors: Evaluators, Intelligibility, Pronunciation, Task Analysis
Gloria Ashiya Katuka – ProQuest LLC, 2024
Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…
Descriptors: Dialogs (Language), Classification, Intention, Natural Language Processing
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