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Park, Ryoungsun; Kim, Jiseon; Chung, Hyewon; Dodd, Barbara G. – Educational and Psychological Measurement, 2017
The current study proposes novel methods to predict multistage testing (MST) performance without conducting simulations. This method, called MST test information, is based on analytic derivation of standard errors of ability estimates across theta levels. We compared standard errors derived analytically to the simulation results to demonstrate the…
Descriptors: Testing, Performance, Prediction, Error of Measurement
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Richards, Jeffrey A.; Xu, Dongxin; Gilkerson, Jill; Yapanel, Umit; Gray, Sharmistha; Paul, Terrance – Journal of Speech, Language, and Hearing Research, 2017
Purpose: To produce a novel, efficient measure of children's expressive vocal development on the basis of automatic vocalization assessment (AVA), child vocalizations were automatically identified and extracted from audio recordings using Language Environment Analysis (LENA) System technology. Method: Assessment was based on full-day audio…
Descriptors: Automation, Children, Speech Evaluation, Nonprint Media
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Ganor-Stern, Dana – Journal of Learning Disabilities, 2017
The present study is the first to examine the computation estimation skills of dyscalculics versus controls using the estimation comparison task. In this task, participants judged whether an estimated answer to a multidigit multiplication problem was larger or smaller than a given reference number. While dyscalculics were less accurate than…
Descriptors: Learning Disabilities, Arithmetic, Mathematics Skills, Computation
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Valaski, Joselaine; Reinehr, Sheila; Malucelli, Andreia – Interactive Technology and Smart Education, 2017
Purpose: The purpose of this research was to evaluate whether ontology integrated in an organizational learning environment may support the automatic learning material classification in a specific knowledge area. Design/methodology/approach: An ontology for recommending learning material was integrated in the organizational learning environment…
Descriptors: Classification, Instructional Materials, Automation, Taxonomy
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Jiang, Nan; Zhang, Jianqin – Second Language Research, 2021
Two lines of evidence emerged in the past suggesting that lexical form seemed to play a more important role in the organization of the second language (L2) mental lexicon than in that of the first language (L1) lexicon. They were masked orthographic priming in L2 word recognition and an elevated proportion of form-related responses in L2 word…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Native Language
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Li, Shanpeng; Gu, Wentao; Liu, Lei; Tang, Ping – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Sarcasm is a specialized speech act in daily vocal communication usually characterized by unique prosodic features, but the role of voice quality in expressing sarcasm has not been explored much. The goal of this study is to explore the voice quality features of Mandarin sarcastic speech in comparison to sincere speech. Method: Fifteen…
Descriptors: Language Usage, Mandarin Chinese, Speech Communication, Comparative Analysis
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Dossey, Ellen; Clopper, Cynthia G.; Wagner, Laura – Language Learning and Development, 2020
This study investigated the developmental trajectories of three perceptual domains related to regional dialect competence: the linguistic domain, tested through an intelligibility in noise task; the objective indexical domain, tested through locality judgments and a free classification task; and the subjective indexical domain, tested through…
Descriptors: Sociolinguistics, Dialects, Task Analysis, Auditory Discrimination
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Lee, Jenny J.; Vance, Hillary; Stensaker, Bjørn; Ghosh, Sowmya – Comparative Education, 2020
This study examined how hierarchical positions within the global field of higher education influence the selection of strategic priorities by universities in different parts of the world. The study particularly focused on universities' commitment to third missions as reflected in their strategic plans and compared to their global rankings. The…
Descriptors: Reputation, Institutional Evaluation, Universities, Strategic Planning
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Rupp, André A.; van Rijn, Peter W. – Measurement: Interdisciplinary Research and Perspectives, 2018
We review the GIDNA and CDM packages in R for fitting cognitive diagnosis/diagnostic classification models. We first provide a summary of their core capabilities and then use both simulated and real data to compare their functionalities in practice. We found that the most relevant routines in the two packages appear to be more similar than…
Descriptors: Educational Assessment, Cognitive Measurement, Measurement, Computer Software
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Kuthe, Alina; Keller, Lars; Körfgen, Annemarie; Stötter, Hans; Oberrauch, Anna; Höferl, Karl-Michael – Journal of Environmental Education, 2019
Under the premise that the young generation of teenagers cannot be considered to be uniform, this study identified groups of teenagers based on their level of climate change awareness. Questionnaires answered by 760 teenagers (13-16 years old) from Germany and Austria were analyzed using a hierarchical cluster analysis. The teenagers were assigned…
Descriptors: Classification, Climate, Environmental Influences, Secondary School Students
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Bozdemir, Hafife; Ezberci Çevik, Ebru; Kurnaz, Mehmet Altan; Yaz, Ömer Volkan – Acta Didactica Napocensia, 2019
The purpose of this study is to determine the distribution of Science achievements in Life Studies Course Curricula of 2009, 2015 and 2018 regarding the knowledge and cognitive process dimensions of the Revised Bloom Taxonomy and to comparatively examine the resulting distributions. This study adopted document analysis. While conducting the…
Descriptors: Taxonomy, Science Achievement, Biological Sciences, Science Instruction
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Akinci, Buket; Yeldan, Ipek; Celik, Selda; Satman, Ilhan – Research Quarterly for Exercise and Sport, 2019
Purpose: This study aimed (1) to compare physical activity (PA) indicators, metabolic biomarkers, and comorbidity, (2) to investigate the relationship between PA indicators and metabolic biomarkers, comorbidity and (3) to identify barriers to PA in patients with type 2 diabetes (T2DM) who are using oral hypoglycaemic agent (OHA) or combined OHA…
Descriptors: Diabetes, Biochemistry, Correlation, Physical Activity Level
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Gruver, Nate; Malik, Ali; Capoor, Brahm; Piech, Chris; Stevens, Mitchell L.; Paepcke, Andreas – International Educational Data Mining Society, 2019
Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…
Descriptors: Models, Course Selection (Students), Enrollment, Decision Making
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Li, Yanru – English Language Teaching, 2022
This study investigated the erroneous use of the high-frequency verb TAKE by the Chinese college learners of English as a foreign language (EFL), aiming to identify the similarities and differences between Chinese EFL learners, aimed at finding out more effective ways for the teaching and researching of the high-frequency verbs. Corpus-based…
Descriptors: Computational Linguistics, Verbs, Second Language Learning, Second Language Instruction
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Hsin, L.; Rapaport, A.; Osman, D.; Kilborn, M.; Pierson, A.; Garrett, R. – Regional Educational Laboratory Southwest, 2022
These are the appendixes for the report, "English Proficiency and the Pandemic: How Texas English Learner Students Fared during the COVID-19 Pandemic. REL 2023-144." This study examined levels of English proficiency before and during the COVID-19 pandemic among English learner students in grades 3-12 in Texas. In 2020-2021, nearly…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, English Language Learners
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