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Cohen, Yoav; Levi, Effi; Ben-Simon, Anat – Applied Measurement in Education, 2018
In the current study, two pools of 250 essays, all written as a response to the same prompt, were rated by two groups of raters (14 or 15 raters per group), thereby providing an approximation to the essay's true score. An automated essay scoring (AES) system was trained on the datasets and then scored the essays using a cross-validation scheme. By…
Descriptors: Test Validity, Automation, Scoring, Computer Assisted Testing
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
Gehsmann, Kristin; Spichtig, Alexandra; Tousley, Elias – Literacy Research: Theory, Method, and Practice, 2017
Assessments of developmental spelling, also called spelling inventories, are commonly used to understand students' orthographic knowledge (i.e., knowledge of how written words work) and to determine their stages of spelling and reading development. The information generated by these assessments is used to inform teachers' grouping practices and…
Descriptors: Spelling, Computer Assisted Testing, Grouping (Instructional Purposes), Teaching Methods
Keller-Margulis, Milena A.; Mercer, Sterett H.; Payan, Anita; McGee, Wendy – School Psychology Quarterly, 2015
The purpose of this study was to examine annual growth patterns and gender differences in written expression curriculum-based measurement (WE-CBM) when used in the context of universal screening. Students in second through fifth grade (n = 672) from 2 elementary schools that used WE-CBM as a universal screener participated in the study. Student…
Descriptors: Gender Differences, Curriculum Based Assessment, Elementary School Students, Writing Skills
Buzick, Heather; Oliveri, Maria Elena; Attali, Yigal; Flor, Michael – Applied Measurement in Education, 2016
Automated essay scoring is a developing technology that can provide efficient scoring of large numbers of written responses. Its use in higher education admissions testing provides an opportunity to collect validity and fairness evidence to support current uses and inform its emergence in other areas such as K-12 large-scale assessment. In this…
Descriptors: Essays, Learning Disabilities, Attention Deficit Hyperactivity Disorder, Scoring
Mao, Liyang; Liu, Ou Lydia; Roohr, Katrina; Belur, Vinetha; Mulholland, Matthew; Lee, Hee-Sun; Pallant, Amy – Educational Assessment, 2018
Scientific argumentation is one of the core practices for teachers to implement in science classrooms. We developed a computer-based formative assessment to support students' construction and revision of scientific arguments. The assessment is built upon automated scoring of students' arguments and provides feedback to students and teachers.…
Descriptors: Computer Assisted Testing, Science Tests, Scoring, Automation
Kobayashi, Yuichiro; Abe, Mariko – Journal of Pan-Pacific Association of Applied Linguistics, 2016
The purpose of the present study is to assess second language (L2) spoken English using automated scoring techniques. Automated scoring aims to classify a large set of learners' oral performance data into a small number of discrete oral proficiency levels. In automated scoring, objectively measurable features such as the frequencies of lexical and…
Descriptors: Second Language Learning, Computer Assisted Testing, Scoring, Automation
Eidson, R. Cole; Coley, John D. – Journal of Cognition and Development, 2014
We examined young adults' essentialist reasoning about gender categories. Previous developmental results suggest that until age 9 or 10, children show marked essentialist reasoning about gender, but this disappears by early adulthood. In contrast, results from social cognition suggest that essentialist thinking about social categories persists…
Descriptors: Undergraduate Students, Gender Differences, Social Cognition, Task Analysis
Breyer, F. Jay; Attali, Yigal; Williamson, David M.; Ridolfi-McCulla, Laura; Ramineni, Chaitanya; Duchnowski, Matthew; Harris, April – ETS Research Report Series, 2014
In this research, we investigated the feasibility of implementing the "e-rater"® scoring engine as a check score in place of all-human scoring for the "Graduate Record Examinations"® ("GRE"®) revised General Test (rGRE) Analytical Writing measure. This report provides the scientific basis for the use of e-rater as a…
Descriptors: Computer Software, Computer Assisted Testing, Scoring, College Entrance Examinations
Ma, Hong; Slater, Tammy – CALICO Journal, 2016
This study utilized a theory proposed by Mohan, Slater, Luo, and Jaipal (2002) regarding the Developmental Path of Cause to investigate AWE score use in classroom contexts. This "path" has the potential to support validity arguments because it suggests how causal linguistic features can be organized in hierarchical order. Utilization of…
Descriptors: Scores, Automation, Writing Evaluation, Computer Assisted Testing
Ali, Usama S.; Chang, Hua-Hua – ETS Research Report Series, 2014
Adaptive testing is advantageous in that it provides more efficient ability estimates with fewer items than linear testing does. Item-driven adaptive pretesting may also offer similar advantages, and verification of such a hypothesis about item calibration was the main objective of this study. A suitability index (SI) was introduced to adaptively…
Descriptors: Adaptive Testing, Simulation, Pretests Posttests, Test Items
Ashwell, Tim; Elam, Jesse R. – JALT CALL Journal, 2017
The ultimate aim of our research project was to use the Google Web Speech API to automate scoring of elicited imitation (EI) tests. However, in order to achieve this goal, we had to take a number of preparatory steps. We needed to assess how accurate this speech recognition tool is in recognizing native speakers' production of the test items; we…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
Zahner, Doris; Steedle, Jeffrey T. – Council for Aid to Education, 2014
The Organisation for Economic Co-operation and Development (OECD) launched the Assessment of Higher Education Learning Outcomes (AHELO) in an effort to measure learning in international postsecondary education. This paper presents a study of scoring equivalence across nine countries for two translated and adapted performance tasks. Results reveal…
Descriptors: International Assessment, Performance Based Assessment, Postsecondary Education, Scoring
Klobucar, Andrew; Elliot, Norbert; Deess, Perry; Rudniy, Oleksandr; Joshi, Kamal – Assessing Writing, 2013
This study investigated the use of automated essay scoring (AES) to identify at-risk students enrolled in a first-year university writing course. An application of AES, the "Criterion"[R] Online Writing Evaluation Service was evaluated through a methodology focusing on construct modelling, response processes, disaggregation, extrapolation,…
Descriptors: Writing Evaluation, Scoring, Writing Instruction, Essays
Newhouse, C. Paul; Tarricone, Pina – Canadian Journal of Learning and Technology, 2014
High-stakes external assessment for practical courses is fraught with problems impacting on the manageability, validity and reliability of scoring. Alternative approaches to assessment using digital technologies have the potential to address these problems. This paper describes a study that investigated the use of these technologies to create and…
Descriptors: High Stakes Tests, Student Evaluation, Evaluation Methods, Scoring