NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 20 results Save | Export
Kelly Boden – ProQuest LLC, 2022
Instruction facilitating the abstraction and transfer processes necessary for deep conceptual understanding is notoriously difficult. Individual differences in learning strategies are one possible explanation for variation in transfer outcomes. Prior work has shown that rule-abstraction learning strategies facilitate knowledge transfer better than…
Descriptors: Learning Strategies, Technology Transfer, Priming, Communication (Thought Transfer)
Jirong Yi – ProQuest LLC, 2021
We are currently in a century of data where massive amount of data are collected and processed every day, and machine learning plays a critical role in automatically processing the data and mining useful information from it for making decisions. Despite the wide and successful applications of machine learning in different fields, the robustness of…
Descriptors: Artificial Intelligence, Algorithms, Data, Classification
Singelmann, Lauren Nichole – ProQuest LLC, 2022
To meet the national and international call for creative and innovative engineers, many engineering departments and classrooms are striving to create more authentic learning spaces where students are actively engaging with design and innovation activities. For example, one model for teaching innovation is Innovation-Based Learning (IBL) where…
Descriptors: Engineering Education, Design, Educational Innovation, Models
Yevgeniy Vasilyevich Melguy – ProQuest LLC, 2022
The aim of this dissertation is to investigate the mechanisms involved in phonetic learning of an unfamiliar accent, focusing on understanding what processes underlie changes to phonetic category structure, how such learning affects subsequent online lexical processing, and whether the same mechanisms that underlie learning for a single speaker…
Descriptors: Dialects, Familiarity, Phonetics, Learning Processes
Charles Patrick O'Hara – ProQuest LLC, 2021
This dissertation investigates the soft typology of phonological patterns. By studying the types of patterns observed in the world's languages, we can do more than determine what is attested and what is unattested, or what is possible and what is impossible, but discover a wide range of more gradient phenomena. Phonological patterns range from…
Descriptors: Bias, Phonology, Grammar, Language Classification
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
Shuxiao Gong – ProQuest LLC, 2022
Understanding how native speakers acquire the phonological patterns in their language is a key task for the field of phonology. Numerous studies have suggested that phonological learning is a biased process: certain phonological patterns are easily accessed and learned by the speakers, while others show acquisition difficulties. These differences…
Descriptors: Phonology, Native Speakers, Language Patterns, Language Acquisition
Yolanda K. Jimenez – ProQuest LLC, 2024
This research captures the experiences of high school graduates who were labeled English Learners while they were enrolled in a public high school in the greater Sacramento area of California. The study examined what these bilingual high school graduates report as beneficial and detrimental experiences faced while completing the course…
Descriptors: English Language Learners, Labeling (of Persons), High School Graduates, Educational Experience
Glewwe, Eleanor Rachel – ProQuest LLC, 2019
An ongoing debate in phonology concerns the extent to which the phonological typology is shaped by synchronic learning biases. The two best-studied types of synchronic bias are complexity bias, a bias against formally complex patterns, and substantive bias, a bias against phonetically unnatural patterns. While most previous work has focused on…
Descriptors: Phonology, Classification, Bias, Phonetics
Amy Jean Konyn – ProQuest LLC, 2021
Natural language is highly complex and can be challenging for some learners, yet the contribution of complexity to individual differences in language learning remains poorly understood. This poor understanding appears due to both a lack of consensus among researchers regarding what complexity is, and to on-line language research often employing…
Descriptors: Phonology, Natural Language Processing, Native Language, English
Lifeng Jin – ProQuest LLC, 2020
Syntactic structures are unobserved theoretical constructs which are useful in explaining a wide range of linguistic and psychological phenomena. Language acquisition studies how such latent structures are acquired by human learners through many hypothesized learning mechanisms and apparatuses, which can be genetically endowed or of general…
Descriptors: Syntax, Computational Linguistics, Learning Processes, Models
Chong, Junxiang Adam – ProQuest LLC, 2017
This dissertation examines the question of how phonological alternations are learnt. In constraint-based models of phonological learning, it is hypothesized that prior learning of phonotactics from the lexicon facilitates the learning of alternations. While this is an influential assumption, the empirical evidence for it is equivocal. In this…
Descriptors: Grammar, Phonology, Morphemes, Korean
Greenwood, Anna – ProQuest LLC, 2016
This dissertation begins with the observation of a typological asymmetry within phonological patterns related to phonetic naturalness. Patterns that are rooted within existing tendencies of perception and/or production--in other words, patterns that are phonetically "natural"--are common in phonological typology and seen in a variety of…
Descriptors: Phonetics, Language Patterns, Phonology, Classification
Rutstein, Daisy Wise – ProQuest LLC, 2012
This research examines issues regarding model estimation and robustness in the use of Bayesian Inference Networks (BINs) for measuring Learning Progressions (LPs). It provides background information on LPs and how they might be used in practice. Two simulation studies are performed, along with real data examples. The first study examines the case…
Descriptors: Bayesian Statistics, Learning Processes, Robustness (Statistics), Statistical Inference
Gilbuena, Debra M. – ProQuest LLC, 2013
The Virtual Chemical Vapor Deposition (CVD) Process Development Project provides the context for the two areas of the research presented in this dissertation. The first area, generally referred to as feedback in this dissertation, focuses on student learning and the interactions of students and instructors that take place in the project,…
Descriptors: Student Projects, Teaching Methods, Feedback (Response), Teacher Student Relationship
Previous Page | Next Page ยป
Pages: 1  |  2