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Goodwin, Amanda P.; Petscher, Yaacov; Tock, Jamie; McFadden, Sara; Reynolds, Dan; Lantos, Tess; Jones, Sara – Assessment for Effective Intervention, 2022
Assessment of language skills for upper elementary and middle schoolers is important due to the strong link between language and reading comprehension. Yet, currently few practical, reliable, valid, and instructionally informative assessments of language exist. This study provides validation evidence for Monster, P.I., which is a gamified,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Language Tests, Vocabulary
Goodwin, Amanda P.; Petscher, Yaacov; Jones, Sara; McFadden, Sara; Reynolds, Dan; Lantos, Tess – Reading Teacher, 2020
The authors describe Monster, P.I., which is an app-based, gamified assessment that measures language skills (knowledge of morphology, vocabulary, and syntax) of students in grades 5-8 and provides teachers with interpretable score reports to drive instruction that improves vocabulary, reading, and writing ability. Specifically, the authors…
Descriptors: Computer Assisted Testing, Handheld Devices, Language Maintenance, Language Tests
Goodwin, Amanda P.; Petscher, Yaacov; Reynolds, Dan; Lantos, Tess; Gould, Sara; Tock, Jamie – Education Sciences, 2018
The history of vocabulary research has specified a rich and complex construct, resulting in calls for vocabulary research, assessment, and instruction to take into account the complex problem space of vocabulary. At the intersection of vocabulary theory and assessment modeling, this paper suggests a suite of modeling techniques that model the…
Descriptors: Factor Analysis, Correlation, Language Tests, Standardized Tests
Goodwin, Amanda P.; Petscher, Yaacov; Reynolds, Dan; Lantos, Tess; Gould, Sara; Tock, Jamie – Grantee Submission, 2018
The history of vocabulary research has specified a rich and complex construct, resulting in calls for vocabulary research, assessment, and instruction to take into account the complex problem space of vocabulary. At the intersection of vocabulary theory and assessment modeling, this paper suggests a suite of modeling techniques that model the…
Descriptors: Factor Analysis, Correlation, Language Tests, Standardized Tests
Goodwin, Amanda P.; Petscher, Yaacov; Jones, Sara; McFadden, Sara; Reynolds, Dan; Lantos, Tess – Grantee Submission, 2020
The authors describe Monster, PI, which is an app-based, gamified assessment that measures language skills (knowledge of morphology, vocabulary, and syntax) of students in grades 5-8 and provides teachers with interpretable score reports to drive instruction that improves vocabulary, reading, and writing ability. Specifically, the authors describe…
Descriptors: Computer Assisted Testing, Handheld Devices, Language Maintenance, Language Tests