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Cassondra M. Eng; Aria Tsegai-Moore; Anna V. Fisher – Grantee Submission, 2024
Computerized assessments and digital games have become more prevalent in childhood, necessitating a systematic investigation of the effects of gamified executive function assessments on performance and engagement. This study examined the feasibility of incorporating gamification and a machine learning algorithm that adapts task difficulty to…
Descriptors: Preschool Children, Preschool Curriculum, Preschool Education, Preschool Tests
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Selcuk Acar; Denis Dumas; Peter Organisciak; Kelly Berthiaume – Grantee Submission, 2024
Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…
Descriptors: Thinking Skills, Elementary School Students, Artificial Intelligence, Measurement Techniques
Nese, Joseph F. T. – Grantee Submission, 2022
Curriculum-based measurement of oral reading fluency (CBM-R) is used as an indicator of reading proficiency, and to measure at risk students' response to reading interventions to help ensure effective instruction. The purpose of this study was to compare model-based words read correctly per minute (WCPM) scores (computerized oral reading…
Descriptors: Reading Tests, Oral Reading, Reading Fluency, Curriculum Based Assessment
Dunya, Beyza Aksu; McKown, Clark; Smith, Everett – Grantee Submission, 2019
Emotion recognition (ER) involves understanding what others are feeling by interpreting nonverbal behavior, including facial expressions. The purpose of this study is to evaluate the psychometric properties of a web-based social ER assessment designed for children in kindergarten through third grade. Data were collected from two separate samples…
Descriptors: Emotional Intelligence, Psychometrics, Test Bias, Computer Assisted Testing
Beula M. Magimairaj; Philip Capin; Sandra L. Gillam; Sharon Vaughn; Greg Roberts; Anna-Maria Fall; Ronald B. Gillam – Grantee Submission, 2022
Purpose: Our aim was to evaluate the psychometric properties of the online administered format of the Test of Narrative Language--Second Edition (TNL-2; Gillam & Pearson, 2017), given the importance of assessing children's narrative ability and considerable absence of psychometric studies of spoken language assessments administered online.…
Descriptors: Computer Assisted Testing, Language Tests, Story Telling, Language Impairments
Russo-Ponsaran, Nicole M.; McKown, Clark; Karls, Ashley; Wu, Irene Y. H. – Grantee Submission, 2021
Virtual Environment for Social Information Processing (VESIP™) is a web-based social information processing assessment developed for youth in grades 3-7. VESIP was developed to address: (1) the broader assessment of social information processing in a variety of socially challenging situations; and (2) the need for technically strong and scalable…
Descriptors: Computer Assisted Testing, Interpersonal Competence, Computer Simulation, Test Reliability
Kendeou, Panayiota; McMaster, Kristen L.; Butterfuss, Reese; Kim, Jasmine; Slater, Susan; Bulut, Okan – Grantee Submission, 2020
The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in K-2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and nonfiction…
Descriptors: Test Construction, Test Validity, Inferences, Computer Assisted Testing
Goodwin, Amanda P.; Petscher, Yaacov; Tock, Jamie – Grantee Submission, 2021
Background: Middle school students use the information conveyed by morphemes (i.e., units of meaning such as prefixes, root words and suffixes) in different ways to support their literacy endeavours, suggesting the likelihood that morphological knowledge is multidimensional. This has important implications for assessment. Methods: The current…
Descriptors: Morphology (Languages), Morphemes, Middle School Students, Knowledge Level
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)
Russo-Ponsaran, Nicole M.; Lerner, Matthew D.; McKown, Clark; Weber, Rebecca J.; Karls, Ashley; Kang, Erin; Sommer, Samantha L. – Grantee Submission, 2019
Few tools are available to comprehensively describe the unique social-emotional skill profiles of youth with autism spectrum disorder (ASD). The present study describes the usability, reliability, and validity of SELweb, a normed, web-based assessment designed to measure four core social-emotional domains, when used to measure these skills in a…
Descriptors: Social Development, Emotional Development, Skill Development, Autism
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Carlson, Sarah E.; Seipel, Ben; Biancarosa, Gina; Davison, Mark L.; Clinton, Virginia – Grantee Submission, 2019
This demonstration introduces and presents an innovative online cognitive diagnostic assessment, developed to identify the types of cognitive processes that readers use during comprehension; specifically, processes that distinguish between subtypes of struggling comprehenders. Cognitive diagnostic assessments are designed to provide valuable…
Descriptors: Reading Comprehension, Standardized Tests, Diagnostic Tests, Computer Assisted Testing