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Peguero, Wendy – ProQuest LLC, 2022
Administration and scoring of cognitive assessments have evolved from a paper-based platform to a digital format. Since this advancement, Pearson has created a system (Q-interactive) that allows examiners to administer the WISC-V via two iPads. However, limited research exists exploring the effects of this new method of administration when…
Descriptors: Children, Intelligence Tests, Examiners, Computer Assisted Testing
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Klein, Michael – ProQuest LLC, 2019
The purpose of the current study was to examine the differences between number and types of administration and scoring errors made by administration method (digital/Q-Interactive vs. paper-and-pencil) on the Wechsler Intelligence Scales for Children (WISC-V). WISC-V administration and scoring checklists were developed in order to provide an…
Descriptors: Intelligence Tests, Children, Test Format, Computer Assisted Testing
Jiao, Jian – ProQuest LLC, 2013
The Internet has revolutionized the way users share and acquire knowledge. As important and popular Web-based applications, online discussion forums provide interactive platforms for users to exchange information and report problems. With the rapid growth of social networks and an ever increasing number of Internet users, online forums have…
Descriptors: Electronic Learning, Internet, Computer Mediated Communication, Manufacturing Industry
Yoon, Su-Youn – ProQuest LLC, 2009
This dissertation provides an automated scoring method of speech fluency for second language learners of English (L2 learners) based that uses speech recognition technology. Non-standard pronunciation, frequent disfluencies, faulty grammar, and inappropriate lexical choices are crucial characteristics of L2 learners' speech. Due to the ease of…
Descriptors: Phonemes, Second Language Learning, Scoring, Correlation