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Qiwei He; Qingzhou Shi; Elizabeth L. Tighe – Grantee Submission, 2023
Increased use of computer-based assessments has facilitated data collection processes that capture both response product data (i.e., correct and incorrect) and response process data (e.g., time-stamped action sequences). Evidence suggests a strong relationship between respondents' correct/incorrect responses and their problem-solving proficiency…
Descriptors: Artificial Intelligence, Problem Solving, Classification, Data Use
He, Dan – ProQuest LLC, 2023
This dissertation examines the effectiveness of machine learning algorithms and feature engineering techniques for analyzing process data and predicting test performance. The study compares three classification approaches and identifies item-specific process features that are highly predictive of student performance. The findings suggest that…
Descriptors: Artificial Intelligence, Data Analysis, Algorithms, Classification
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Brannegan, Andrew; Takahashi, Sola – Learning Professional, 2023
Educators have long been awash in a sea of standardized test score data, with the understanding that their engagement with these data will lead to improvement in teaching and learning. But, in practice, these data have often been too infrequent, too lagging, and too distant from day-to-day practice to inform actionable next steps. To improve…
Descriptors: Standardized Tests, Data Use, Educational Improvement, Data Analysis
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Julia K. Nicholas; Taylor E. Penwell; Caroline B. Christian; Kate Overberg-Wagoner; Nicholas C. Peiper; Cheri A. Levinson – Administration and Policy in Mental Health and Mental Health Services Research, 2023
Healthcare providers play a key role in early identification of eating disorders (EDs), especially in underserved states where ED treatment resources are lacking. Currently, there is little known about ED screening and treatment practices in underserved states. The current study assessed current ED screening and treatment practices among…
Descriptors: Eating Disorders, Health Personnel, Screening Tests, Clinical Diagnosis
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Chai, Jun Ho; Lo, Chang Huan; Mayor, Julien – Journal of Speech, Language, and Hearing Research, 2020
Purpose: This study introduces a framework to produce very short versions of the MacArthur-Bates Communicative Development Inventories (CDIs) by combining the Bayesian-inspired approach introduced by Mayor and Mani (2019) with an item response theory-based computerized adaptive testing that adapts to the ability of each child, in line with…
Descriptors: Bayesian Statistics, Item Response Theory, Measures (Individuals), Language Skills
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Petscher, Yaacov; Pfeiffer, Steven I. – Assessment for Effective Intervention, 2020
The authors evaluated measurement-level, factor-level, item-level, and scale-level revisions to the "Gifted Rating Scales-School Form" (GRS-S). Measurement-level considerations tested the extent to which treating the Likert-type scale rating as categorical or continuous produced different fit across unidimensional, correlated trait, and…
Descriptors: Psychometrics, Academically Gifted, Rating Scales, Factor Structure
Gubbins, E. Jean; Siegle, Del; Peters, Pamela M.; Carpenter, Ashley Y.; Hamilton, Rashea; McCoach, D. Betsy; Puryear, Jeb S.; Langley, Susan Dulong; Long, Daniel – Journal for the Education of the Gifted, 2020
The underrepresentation of English learners (ELs) in gifted and talented programs is a societal and research problem that merits investigation. Three state departments of education and their state directors of gifted programs supported our access to 16 schools across nine districts. In these three states with gifted identification and programming…
Descriptors: Academically Gifted, Talent Identification, English Language Learners, Disproportionate Representation
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Guo, Hongwen; Ercikan, Kadriye – Educational Research and Evaluation, 2020
Rapid response behaviour, a type of test disengagement, cannot be interpreted as a true indicator of the targeted constructs and may compromise score accuracy as well as score validity for interpretation. Rapid responding may be due to multiple factors for diverse populations. In this study, using Programme for International Student Assessment…
Descriptors: Response Style (Tests), Foreign Countries, International Assessment, Achievement Tests
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Ercikan, Kadriye; Guo, Hongwen; He, Qiwei – Educational Assessment, 2020
Comparing group is one of the key uses of large-scale assessment results, which are used to gain insights to inform policy and practice and to examine the comparability of scores and score meaning. Such comparisons typically focus on examinees' final answers and responses to test questions, ignoring response process differences groups may engage…
Descriptors: Data Use, Responses, Comparative Analysis, Test Bias
Gubbins, E. Jean; Siegle, Del; Peters, Pamela M.; Carpenter, Ashley Y.; Hamilton, Rashea; McCoach, D. Betsy; Puryear, Jeb; Langley, S. D.; Long, D. – Grantee Submission, 2020
The underrepresentation of English learners (ELs) in gifted and talented programs is a societal and research problem that merits investigation. Three state departments of education and their state directors of gifted programs supported our access to 16 schools across nine districts. In these three states with gifted identification and programming…
Descriptors: Academically Gifted, Talent Identification, English Language Learners, Disproportionate Representation
Keng, Leslie; Boyer, Michelle – National Center for the Improvement of Educational Assessment, 2020
ACT requested assistance from the National Center for the Improvement of Educational Assessment (Center for Assessment) to investigate declines of scores for states administering the ACT to its 11th grade students in 2018. This request emerged from conversations among state leaders, the Center for Assessment, and ACT in trying to understand the…
Descriptors: College Entrance Examinations, Scores, Test Score Decline, Educational Trends
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Davis, Larry; Norris, John – ETS Research Report Series, 2021
The elicited imitation task (EIT), in which language learners listen to a series of spoken sentences and repeat each one verbatim, is a commonly used measure of language proficiency in second language acquisition research. The "TOEFL® Essentials"™ test includes an EIT as a holistic measure of speaking proficiency, referred to as the…
Descriptors: Task Analysis, Language Proficiency, Speech Communication, Language Tests
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Sasayama, Shoko; Garcia Gomez, Pablo; Norris, John M. – ETS Research Report Series, 2021
This report describes the development of efficient second language (L2) writing assessment tasks designed specifically for low-proficiency learners of English to be included in the "TOEFL® Essentials"™ test. Based on the can-do descriptors of the Common European Framework of Reference for Languages for the A1 through B1 levels of…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Writing Tests
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Akbay, Tuncer; Akbay, Lokman; Erol, Osman – Malaysian Online Journal of Educational Technology, 2021
Integration of e-learning and computerized assessments into many levels of educational programs has been increasing as digital technology progresses. Due to a handful of prominent advantages of computer-based-testing (CBT), a rapid transition in test administration mode from paper-based-testing (PBT) to CBT has emerged. Recently, many national and…
Descriptors: Computer Assisted Testing, Testing, High Stakes Tests, International Assessment
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Gu, Lin; Ling, Guangming; Liu, Ou Lydia; Yang, Zhitong; Li, Guirong; Kardanova, Elena; Loyalka, Prashant – Assessment & Evaluation in Higher Education, 2021
We examine the effects of computer-based versus paper-based assessment of critical thinking skills, adapted from English (in the U.S.) to Chinese. Using data collected based on a random assignment between the two modes in multiple Chinese colleges, we investigate mode effects from multiple perspectives: mean scores, measurement precision, item…
Descriptors: Critical Thinking, Tests, Test Format, Computer Assisted Testing
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