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Benjamin W. Domingue; Klint Kanopka; Ben Stenhaug; James Soland; Megan Kuhfeld; Steve Wise; Chris Piech – Grantee Submission, 2021
The more frequent collection of response time data is leading to an increased need for an understanding of how such data can be included in measurement models. Models for response time have been advanced, but relatively limited large-scale empirical investigations have been conducted. We take advantage of a large dataset from the adaptive NWEA MAP…
Descriptors: Achievement Tests, Reaction Time, Reading Tests, Accuracy
Samira Syal; Marcia Davis; Xiaodong Zhang; Jason Schoeneberger; Samantha Spinney; Douglas J. Mac Iver; Martha Mac Iver – Grantee Submission, 2023
Motivation to read is crucial to improving reading skill. While there is extensive research examining reading motivation among elementary students, with respect to adolescents, research is limited. Employing a person-centered approach can aid in developing a better understanding of adolescent reading motivation and would help address possible…
Descriptors: Reading Motivation, Adolescents, Reading Achievement, High School Students
Olney, Andrew M.; Gilbert, Stephen B.; Rivers, Kelly – Grantee Submission, 2021
Cyberlearning technologies increasingly seek to offer personalized learning experiences via adaptive systems that customize pedagogy, content, feedback, pace, and tone according to the just-in-time needs of a learner. However, it is historically difficult to: (1) create these smart learning environments; (2) continuously improve them based on…
Descriptors: Educational Technology, Computer Assisted Instruction, Learning Analytics, Intelligent Tutoring Systems
Wang, Chun; Chen, Ping; Jiang, Shengyu – Grantee Submission, 2019
Many large-scale educational surveys have moved from linear form design to multistage testing (MST) design. One advantage of MST is that it can provide more accurate latent trait [theta] estimates using fewer items than required by linear tests. However, MST generates incomplete response data by design; hence questions remain as to how to…
Descriptors: Adaptive Testing, Test Items, Item Response Theory, Maximum Likelihood Statistics
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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Grantee Submission, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-In-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this paper, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
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Kai Zhuang Shum; Emily Barry; Sarah M. Kiefer; Sarah Fefer; Shannon M. Suldo; Kristen E. Mahony-Atallah; John Ferron; Jacqueline Blass; Letty L. DiLeo; Hallie Lothrop; Nicolette Bauermeister – Grantee Submission, 2024
As the youth mental health crisis continues to worsen, there is a need for more evidence-based social-emotional interventions that can be applied in schools -- the setting in which youth are most likely to seek and receive mental health treatment (Simon et al., 2015). Further, exploring ways to culturally adapt interventions for marginalized…
Descriptors: Middle School Students, Middle School Teachers, Social Emotional Learning, Evidence Based Practice
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Jason Schoeneberger; Xiaodong Zhang; Samantha Spinney; Jing Sun; Lauren Kennedy; Samira Rajesh Syal – Grantee Submission, 2023
The purpose of this study was to understand the impact, implementation and costs associated with a one-semester elective lab course in 9th grade, Accelerating Literacy for Adolescents (ALFA) Lab, which seeks to improve students' reading achievement, particularly for those from economically disadvantaged communities. This study used three cohorts…
Descriptors: High School Students, Grade 9, Learning Laboratories, Reading Centers
Davis, Marcia H.; Wang, Wenhao; Kingston, Neal M.; Hock, Michael; Tonks, Stephen M.; Tiemann, Gail – Grantee Submission, 2020
Background: The importance of reading motivation has led to the development of a large number of self-report reading motivation measures; however, there is still a need for a usable measure of adolescent reading motivation that captures a large number of theoretically and empirically distinct constructs. Methods: The current paper details the…
Descriptors: Reading Motivation, Computer Assisted Testing, Adaptive Testing, Measures (Individuals)
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Albacete, Patricia; Silliman, Scott; Jordan, Pamela – Grantee Submission, 2017
Intelligent tutoring systems (ITS), like human tutors, try to adapt to student's knowledge level so that the instruction is tailored to their needs. One aspect of this adaptation relies on the ability to have an understanding of the student's initial knowledge so as to build on it, avoiding teaching what the student already knows and focusing on…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Multiple Choice Tests, Computer Assisted Testing
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Hauk, Shandy; Matlen, Bryan; Thomas, Larry – Grantee Submission, 2017
A variety of computerized interactive learning platforms exist. Most include instructional supports in the form of problem sets. Feedback to users ranges from a single word like "Correct!" to offers of hints and partially- to fully-worked examples. Behind-the-scenes design of systems varies as well--from static dictionaries of problems…
Descriptors: Community Colleges, Algebra, Web Based Instruction, Randomized Controlled Trials