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Direct linkGoodwin, 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
Download full textGoodwin, 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
Mitchell, Alison M.; Truckenmiller, Adrea; Petscher, Yaacov – Communique, 2015
As part of the Race to the Top initiative, the United States Department of Education made nearly 1 billion dollars available in State Educational Technology grants with the goal of ramping up school technology. One result of this effort is that states, districts, and schools across the country are using computerized assessments to measure their…
Descriptors: Computer Assisted Testing, Educational Technology, Testing, Efficiency
