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Loukina, Anastassia; Zechner, Klaus; Yoon, Su-Youn; Zhang, Mo; Tao, Jidong; Wang, Xinhao; Lee, Chong Min; Mulholland, Matthew – ETS Research Report Series, 2017
This report presents an overview of the "SpeechRater"? automated scoring engine model building and evaluation process for several item types with a focus on a low-English-proficiency test-taker population. We discuss each stage of speech scoring, including automatic speech recognition, filtering models for nonscorable responses, and…
Descriptors: Automation, Scoring, Speech Tests, Test Items
Washington State Department of Early Learning, 2017
The Washington State Department of Early Learning (DEL), in collaboration with the Department of Social and Health Services (DSHS), submits this preliminary report to detail quality control measures in the Working Connections Child Care (WCCC) program. This report highlights existing quality control measures and efforts in reducing overpayments…
Descriptors: Child Care, Quality Control, Expenditures, Attendance
Zimmerman, Whitney Alicia; Kang, Hyun Bin; Kim, Kyung; Gao, Mengzhao; Johnson, Glenn; Clariana, Roy; Zhang, Fan – Journal of Statistics Education, 2018
Over two semesters short essay prompts were developed for use with the Graphical Interface for Knowledge Structure (GIKS), an automated essay scoring system. Participants were students in an undergraduate-level online introductory statistics course. The GIKS compares students' writing samples with an expert's to produce keyword occurrence and…
Descriptors: Undergraduate Students, Introductory Courses, Statistics, Computer Assisted Testing
Chen, Lei; Zechner, Klaus; Yoon, Su-Youn; Evanini, Keelan; Wang, Xinhao; Loukina, Anatassia; Tap, Jidong; Davis, Lawrence; Lee, Chong Min; Ma, Min; Mundowsky, Robert; Lu, Chi; Leong, Chee Wee; Gyawali, Binod – ETS Research Report Series, 2018
This research report provides an overview of the R&D efforts at Educational Testing Service related to its capability for automated scoring of nonnative spontaneous speech with the "SpeechRater"? automated scoring service since its initial version was deployed in 2006. While most aspects of this R&D work have been published in…
Descriptors: Computer Assisted Testing, Scoring, Test Scoring Machines, Speech Tests
Zhang, Xinxin; Gierl, Mark – Journal of Educational Issues, 2016
The purpose of this study is to describe a methodology to recover the item model used to generate multiple-choice test items with a novel graph theory approach. Beginning with the generated test items and working backward to recover the original item model provides a model-based method for validating the content used to automatically generate test…
Descriptors: Test Items, Automation, Content Validity, Test Validity
Nazemi, Azadeh; Murray, Iain; Fernaando, Chandrika; McMeekin, David A. – World Journal of Education, 2016
Documents use tables to communicate multidimensional information clearly, summarise and present data in an easy-to-interpret way. Tabular information in scanned PDF due to its nature without further processing is not accessible for vision-impaired people who use assistive technology such as screen readers. The lack of access to table contents…
Descriptors: Visual Impairments, Assistive Technology, Automation, Tables (Data)
Deep Learning + Student Modeling + Clustering: A Recipe for Effective Automatic Short Answer Grading
Zhang, Yuan; Shah, Rajat; Chi, Min – International Educational Data Mining Society, 2016
In this work we tackled the task of Automatic Short Answer Grading (ASAG). While conventional ASAG research makes prediction mainly based on student answers referred as Answer-based, we leveraged the information about questions and student models into consideration. More specifically, we explore the Answer-based, Question, and Student models…
Descriptors: Automation, Grading, Artificial Intelligence, Test Format
Blanchard, Nathaniel; Donnelly, Patrick J.; Olney, Andrew M.; Samei, Borhan; Ward, Brooke; Sun, Xiaoyi; Kelly, Sean; Nystrand, Martin; D'Mello, Sidney K. – International Educational Data Mining Society, 2016
We investigate automatic detection of teacher questions from automatically segmented human-transcripts of teacher audio recordings collected in live classrooms. Using a dataset of audio recordings from 11 teachers across 37 class sessions, we automatically segment teacher speech into individual teacher utterances and code each as containing a…
Descriptors: Transcripts (Written Records), Nonprint Media, Automation, Classroom Communication
Sano, Makoto; Baker, Doris Luft; Collazo, Marlen; Le, Nancy; Kamata, Akihito – Grantee Submission, 2020
Purpose: Explore how different automated scoring (AS) models score reliably the expressive language and vocabulary knowledge in depth of young second grade Latino English learners. Design/methodology/approach: Analyze a total of 13,471 English utterances from 217 Latino English learners with random forest, end-to-end memory networks, long…
Descriptors: English Language Learners, Hispanic American Students, Elementary School Students, Grade 2
Brita-Paja, J. L.; Gregorio, C.; Llana, L.; Pareja, C.; Riesco, A. – Interactive Learning Environments, 2019
During the last years online education, in particular Massive Open Online Courses (MOOCs), has contributed to spread and popularize educational methodologies such as peer-review, automatic assessment, self-paced courses, self-evaluation, etc. Although these techniques can benefit face-to-face courses, most of them are not yet widely used in these…
Descriptors: Online Courses, Synchronous Communication, Undergraduate Study, Peer Evaluation
Ramachandran, Lakshmi; Gehringer, Edward F.; Yadav, Ravi K. – International Journal of Artificial Intelligence in Education, 2017
A "review" is textual feedback provided by a reviewer to the author of a submitted version. Peer reviews are used in academic publishing and in education to assess student work. While reviews are important to e-commerce sites like Amazon and e-bay, which use them to assess the quality of products and services, our work focuses on…
Descriptors: Natural Language Processing, Peer Evaluation, Educational Quality, Meta Analysis
Hu, Xiao – Learning: Research and Practice, 2017
Despite the rapid development in the area of learning analytics (LA), there is comparatively little focused towards the secondary level of education. This ongoing work presents the latest developed function of Wikiglass, an LA tool designed for automatically recognising, aggregating, and visualising levels of thinking orders in student…
Descriptors: Secondary School Students, Data Analysis, Learning, Automation
Carr, Patrick L. – ProQuest LLC, 2017
This dissertation analyzes how North Carolina State University's (NCSU) James B. Hunt Jr. Library extends the ways in which the information architectures of academic research libraries can function as a technology, as discourse, and as rhetoric. The starting point for the analysis is the libraries of antiquity, which functioned technologically as…
Descriptors: Academic Libraries, Research Libraries, Library Automation, Library Development
Levin, Stephanie; Tsang, Fannie; Selby, Trevor; Soike, Derek – AERA Online Paper Repository, 2017
This report stems from the Data Innovation in US Education initiative funded by the Bill & Melinda Gates Foundation. The work was led by the Preva Group, in partnership with IMPAQ and Periscopic. The initiative had three overarching goals: to support the Foundation's efforts to better understand the impact of their education investments; to…
Descriptors: Automation, Artificial Intelligence, Common Core State Standards, Alignment (Education)
von Wangenheim, Christiane Gresse; Hauck, Jean C. R.; Demetrio, Matheus Faustino; Pelle, Rafael; da Cruz Alves, Nathalia; Barbosa, Heliziane; Azevedo, Luiz Felipe – Informatics in Education, 2018
The development of computational thinking is a major topic in K-12 education. Many of these experiences focus on teaching programming using block-based languages. As part of these activities, it is important for students to receive feedback on their assignments. Yet, in practice it may be difficult to provide personalized, objective and consistent…
Descriptors: Programming Languages, Programming, Grading, Outcome Measures