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Ashley A. Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on math achievement, as measured by SBA scores. We compared students in schools using i-Ready Personalized Instruction school-wide (Treatment students) and students who only received i-Ready Diagnostic assessments and who were in schools only partially…
Descriptors: Elementary School Mathematics, Mathematics Achievement, Mathematics Tests, Individualized Instruction
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Finkelstein, Idit; Soffer-Vital, Shira; Shraga-Roitman, Yael; Cohen-Liverant, Revital; Grebelsky-Lichtman, Tsfira – International Journal of Higher Education, 2022
Due to COVID-19, the world has encountered new challenges regarding pedagogy, learning, assessment, and evaluation. In meeting these challenges, there have been rapid changes in learning, and the gap between pedagogy and evaluation has grown. The purpose of this paper is to develop a new evaluative model suitable for the technologically enhanced,…
Descriptors: Student Evaluation, Evaluation Methods, Models, Culturally Relevant Education
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Andrés, María Laura; Canet-Juric, Lorena; García-Coni, Ana; Olsen, Cintia Daniela; Vernucci, Santiago; Galli, Juan Ignacio; Introzzi, Isabel; Richaud, María Cristina – Mind, Brain, and Education, 2022
The aim of this study was to analyze the moderating effect of distress tolerance (DT) on the relationship between executive functions and academic performance (AP). Participants were 270 children aged 9-12 years. Executive functions (EFs)--working memory (WM), inhibition, and cognitive flexibility--and DT were evaluated using computerized tasks.…
Descriptors: Metacognition, Executive Function, Correlation, Short Term Memory
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Aspiranti, Kathleen B.; Ebner, Sara; Reynolds, Jennifer L.; Henze, Erin E. C. – Journal of Education for Students Placed at Risk, 2022
There is a lack of research examining the use of curriculum-based measurements (CBMs) with special populations, particularly English Language Learners (ELLs). The current study used an alternating treatments single-case design with five Latinx ELL students to examine scores across three math fluency CBM modalities. One-minute probes using either…
Descriptors: Comparative Analysis, Mathematics Instruction, Curriculum Based Assessment, English Language Learners
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Shaw, Sebastian C. K.; Hennessy, Laura R.; Anderson, John L. – Advances in Health Sciences Education, 2022
Dyslexia is a Specific Learning Difficulty that impacts on reading and writing abilities. During the COVID-19 pandemic, medical schools have been forced to undertake distance learning and assessment. The wider literature suggested that e-learning might pose additional challenges for dyslexic students. Here we explore their overall experiences of…
Descriptors: Medical Students, Medical Education, COVID-19, Pandemics
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Gendler-Shalev, Hila; Dromi, Esther – Journal of Child Language, 2022
This article presents data on lexical development of 881 Israeli Hebrew-speaking monolingual toddlers ages 1;0 to 2;0. A Web-based version of the Hebrew MacArthur-Bates Communicative Development Inventories (H-MB-CDI) was used for data collection. Growth curves for expressive vocabulary, receptive vocabulary, actions and gestures were…
Descriptors: Semitic Languages, Language Acquisition, Toddlers, Computer Assisted Testing
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Daniels, Paul – TESL-EJ, 2022
This paper compares the speaking scores generated by two online systems that are designed to automatically grade student speech and provide personalized speaking feedback in an EFL context. The first system, "Speech Assessment for Moodle" ("SAM"), is an open-source solution developed by the author that makes use of Google's…
Descriptors: Speech Communication, Auditory Perception, Computer Uses in Education, Computer Assisted Testing
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Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
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Lukumon, Gafari; Maharaj, Aneshkumar – African Journal of Research in Mathematics, Science and Technology Education, 2022
The purpose of this study, conducted with 44 participants, was to explore their experiences of learning linear algebra using the online content and materials during COVID-19. The conceptual framework was guided by the notion of social presence and connectivisim in the context of remote learning. The study used a questionnaire comprising closed and…
Descriptors: Student Experience, Mathematics Instruction, Algebra, Online Courses
Conner, Carlin; Henry, Alyssa R.; Solari, Emily J.; Zajic, Matthew C. – Autism & Developmental Language Impairments, 2022
Background and aims: Due to the COVID-19 pandemic, tele-health has gained popularity for both providing services and delivering assessments to children with disabilities. In this manuscript, we discuss the process of collecting standardized oral language, reading, and writing tele-assessment data with early elementary children with autism spectrum…
Descriptors: Oral Language, Written Language, Writing Skills, Writing Evaluation
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Rambo-Hernandez, Karen E.; Makel, Matthew C.; Peters, Scott J.; Worley, Cristina – British Journal of Educational Psychology, 2022
Background: Students vary in their initial achievement when they enter school and their rate of academic growth as they move through school. These differences have implications for classroom instruction and educational policy. Although previous research has examined initial achievement and growth differences, a gap remains in understanding how…
Descriptors: Outcomes of Education, Teaching Methods, Educational Policy, Grade 3
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Dalton, Sarah Grace; Stark, Brielle C.; Fromm, Davida; Apple, Kristen; MacWhinney, Brian; Rensch, Amanda; Rowedder, Madyson – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The aim of this study was to advance the use of structured, monologic discourse analysis by validating an automated scoring procedure for core lexicon (CoreLex) using transcripts. Method: Forty-nine transcripts from persons with aphasia and 48 transcripts from persons with no brain injury were retrieved from the AphasiaBank database. Five…
Descriptors: Validity, Discourse Analysis, Databases, Scoring
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Chou, Pao-Nan – SAGE Open, 2022
This study investigated the effects of Plickers use on rural students' learning outcomes through two case scenarios. In the first case scenario, the study adopted a preexperimental study method with a focus on comparing Plickers with traditional testing to examine rural students' learning attitudes toward Plickers. The participants were 24…
Descriptors: Rural Schools, Program Effectiveness, Elementary School Students, Mathematics Instruction
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
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Choi, Youn-Jeng; Asilkalkan, Abdullah – Measurement: Interdisciplinary Research and Perspectives, 2019
About 45 R packages to analyze data using item response theory (IRT) have been developed over the last decade. This article introduces these 45 R packages with their descriptions and features. It also describes possible advanced IRT models using R packages, as well as dichotomous and polytomous IRT models, and R packages that contain applications…
Descriptors: Item Response Theory, Data Analysis, Computer Software, Test Bias
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