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Ju, Narae; Williams, Natalie; Sedivy, Julie; Chambers, Craig G.; Graham, Susan A. – Child Development, 2023
This study examined 4- and 5-year-olds' incremental interpretation of size adjectives, focusing on whether contrastive inferences are modulated by speaker behavior. Children (N = 120, 59 females, mostly White, tested between July, 2018 and August, 2019) encountered either a conventional or unconventional speaker who labeled objects in a…
Descriptors: Preschool Children, Inferences, Interpersonal Communication, Behavior
Kitto, Kirsty; Hicks, Ben; Shum, Simon Buckingham – British Journal of Educational Technology, 2023
An extraordinary amount of data is becoming available in educational settings, collected from a wide range of Educational Technology tools and services. This creates opportunities for using methods from Artificial Intelligence and Learning Analytics (LA) to improve learning and the environments in which it occurs. And yet, analytics results…
Descriptors: Causal Models, Learning Analytics, Educational Theories, Artificial Intelligence
Harmon, Zara; Barak, Libby; Shafto, Patrick; Edwards, Jan; Feldman, Naomi H. – Developmental Science, 2023
Children with developmental language disorder (DLD) regularly use the bare form of verbs (e.g., dance) instead of inflected forms (e.g., danced). We propose an account of this behavior in which processing difficulties of children with DLD disproportionally affect processing novel inflected verbs in their input. Limited experience with inflection…
Descriptors: Developmental Disabilities, Language Impairments, Children, Language Processing
John Duff – ProQuest LLC, 2023
Language comprehension requires a complex series of decisions under uncertainty. This is especially obvious when one string may have multiple different interpretations, whether due to lexical ambiguity, or the potential for an inference beyond literal content. This dissertation profiles how the human system for language comprehension times those…
Descriptors: Language Processing, Ambiguity (Semantics), Decision Making, Reading Comprehension
Kucherenko, Svitlana; Rydland, Veslemøy; Grøver, Vibeke – Early Education and Development, 2023
Research Findings: This study used sequential analysis to investigate teachers' use of literal and inferential questions and their relation to children's responses during small-group shared reading in preschool. Participants were 202 dual-language learners (age 3-5 years) and 53 preschool teachers in multiethnic preschool classrooms in Norway.…
Descriptors: Inferences, Questioning Techniques, Reading Strategies, Preschool Children
Thomas Cook; Mansi Wadhwa; Jingwen Zheng – Society for Research on Educational Effectiveness, 2023
Context: A perennial problem in applied statistics is the inability to justify strong claims about cause-and-effect relationships without full knowledge of the mechanism determining selection into treatment. Few research designs other than the well-implemented random assignment study meet this requirement. Researchers have proposed partial…
Descriptors: Observation, Research Design, Causal Models, Computation
Kenneth A. Frank; Qinyun Lin; Ran Xu; Spiro Maroulis; Anna Mueller – Grantee Submission, 2023
Social scientists seeking to inform policy or public action must carefully consider how to identify effects and express inferences because actions based on invalid inferences will not yield the intended results. Recognizing the complexities and uncertainties of social science, we seek to inform inevitable debates about causal inferences by…
Descriptors: Social Sciences, Research Methodology, Statistical Inference, Robustness (Statistics)
Daniel Rabbett – Australian Mathematics Education Journal, 2023
In this article, examples are shown to demonstrate how open-ended mathematical activities can be used in the classroom. Open-ended activities give students opportunities to apply their understanding in unfamiliar contexts without the pressure of finding one perfect solution.
Descriptors: Foreign Countries, Students, Mathematics Instruction, Mathematical Applications
Yuqi Gu; Elena A. Erosheva; Gongjun Xu; David B. Dunson – Grantee Submission, 2023
Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs incorporate a vector of subject-specific weights characterizing partial membership across clusters. With this flexibility come challenges in uniquely identifying,…
Descriptors: Multivariate Analysis, Item Response Theory, Bayesian Statistics, Models
Tim Erickson – Australian Mathematics Education Journal, 2023
This short article continues the exploration of the Common Online Data Analysis Platform (CODAP) and statistics begun in the previous article "Statistical Investigations and CODAP, Part 1: EDA." In Part 2, the author discusses the teaching of statistical inference focusing on activities for the senior secondary years. In particular, the…
Descriptors: Computer Software, Statistics Education, Statistical Inference, Secondary Education
Jen O'Sullivan – Reading Teacher, 2026
This article explores the vital but often overlooked role of inferencing in early reading comprehension. While foundational decoding skills such as phonological awareness and fluency are essential, reading comprehension depends equally on children's ability to construct meaning beyond the words on the page. Drawing on the "Simple View of…
Descriptors: Beginning Reading, Reading Skills, Skill Development, Inferences
Mary Jane Gardner; Ru Wu; Patricia R. Todd – Marketing Education Review, 2024
The influence of fonts in marketing education may be underestimated as font usage/selection may benefit both department programs and courses in terms of attracting students and enhancing student learning outcomes. Across four studies, this research examines the effects of handwritten fonts on student inferences from course information. A course…
Descriptors: Handwriting, Course Descriptions, Student Interests, Learner Engagement
Agustina Ammaturo; Jazmín Cevasco – Reading Psychology, 2024
The purpose of this study was to examine the role of the causal connectivity of the statements ("low-medium-high"), elaboration question condition ("focused on the identification of main ideas-focused on the identification of speakers' emotions") and the modality of presentation of discourse ("oral-written") in the…
Descriptors: Discourse Analysis, Causal Models, Questioning Techniques, Comprehension
Mortaza Jamshidian; Parsa Jamshidian – Journal of Statistics and Data Science Education, 2024
Using software to teach statistical inference in introductory courses opens the door for methods and practices that are more conceptually appealing to students. With an increasing number of fields requiring competency in statistics including data science, natural and social sciences, public health and more, it is crucial that we as instructors…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Statistics Education
Stella Maris Vázquez; Marianela Noriega-Biggio; Hilda Difabio-de-Anglat – European Journal of Psychology and Educational Research, 2024
The following research presents the outcomes of a cohort study investigating formal thinking skills among first and second-year secondary school students. A specially crafted instrument, the Logical Thought Performance Test for Adolescents (LTPA), was employed to gauge the level of formal thought. The LTP-A assesses various aspects, including:…
Descriptors: Secondary School Students, Foreign Countries, Thinking Skills, Logical Thinking

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