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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
Szu S. Ling; Fabrice Saffre; Deborah L. Gater; Lilia Halim; Abdel F. Isakovic – Journal of Chemical Education, 2024
Computer quiz games are introduced to improve teaching and learning in a freshman engineering chemistry course in an English-as-a-second-language (ESL) environment. These quiz games are developed and implemented as supplemental and augmentative tools to enhance traditionally delivered lectures. The paper shows an increase in students' motivation…
Descriptors: Computer Assisted Testing, Tests, Chemistry, Engineering Education
Weiling Li; Anabil Munshi; Catherine Oberle; Aaron Butler; Amy J. Dray – Online Submission, 2024
Edmentum offers a personalized learning platform called Exact Path. Over the past five years, about 56 schools and districts in Virginia have implemented the program. This quasiexperimental study, designed to meet ESSA Tier 2 evidence and What Works Clearinghouse standards with reservations, aimed to investigate the efficacy of Exact Path in…
Descriptors: Student Needs, Student Diversity, Outcomes of Education, Educational Improvement
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Yaron Ghilay – Journal of Education and Learning, 2024
This study examines the swift shift to online learning prompted by the COVID-19 pandemic, assessing the effectiveness of a faculty distance training program based on the TMOC (Training for the Management of Online Courses) model. The training program aimed to equip faculty with essential skills for online learning, emphasizing a blend of…
Descriptors: Foreign Countries, Higher Education, Adjustment (to Environment), Distance Education
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Xin Wei; Jeremy Roschelle; Danae Kamdar; Tiffany Leones; Ximena Dominguez; William Corrin – Society for Research on Educational Effectiveness, 2024
Background/Context: Funders, researchers and developers share an interest in applying rapid cycle evaluation techniques in education (McNall & Foster-Fishman, 2007; Resch, 2016). Both rapid-cycle and other evaluation processes require monitoring the quality of implementation (Moir, 2018). By quickly monitoring and adjusting implementation,…
Descriptors: Elementary School Mathematics, Elementary School Students, Elementary School Teachers, Mathematics Instruction
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Cikrikci, Nukhet; Yalcin, Seher; Kalender, Ilker; Gul, Emrah; Ayan, Cansu; Uyumaz, Gizem; Sahin-Kursad, Merve; Kamis, Omer – International Journal of Assessment Tools in Education, 2020
This study tested the applicability of the theoretical Examination for Candidates of Driving License (ECODL) in Turkey as a computerized adaptive test (CAT). Firstly, various simulation conditions were tested for the live CAT through an item response theory-based calibrated item bank. The application of the simulated CAT was based on data from…
Descriptors: Motor Vehicles, Traffic Safety, Computer Assisted Testing, Item Response Theory
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Culbert, Patrick D. – Natural Sciences Education, 2020
Plant identification is a critical skill for students in biological sciences, especially forestry. Many students begin with limited plant identification abilities and struggle to learn this skill. To support student learning of identification and ecological characteristics of important forest plants in an undergraduate forest ecology course at the…
Descriptors: Supplementary Reading Materials, Plants (Botany), Forestry, Technology Uses in Education
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Rafferty, Anna N.; Jansen, Rachel A.; Griffiths, Thomas L. – Cognitive Science, 2020
Online educational technologies offer opportunities for providing individualized feedback and detailed profiles of students' skills. Yet many technologies for mathematics education assess students based only on the correctness of either their final answers or responses to individual steps. In contrast, examining the choices students make for how…
Descriptors: Computer Assisted Testing, Mathematics Tests, Mathematics Skills, Student Evaluation
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Dixon-Román, Ezekiel; Nichols, T. Philip; Nyame-Mensah, Ama – Learning, Media and Technology, 2020
In this article, we examine the sociopolitical implications of AI technologies as they are integrated into writing instruction and assessment. Drawing from new materialist and Black feminist thought, we consider how learning analytics platforms for writing are animated by and through entanglements of algorithmic reasoning, state standards and…
Descriptors: Racial Bias, Artificial Intelligence, Educational Technology, Writing Instruction
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Raley, Sheida K.; Shogren, Karrie A.; Rifenbark, Graham G.; Anderson, Mark H.; Shaw, Leslie A. – Journal of Special Education Technology, 2020
The Self-Determination Inventory: Student Report (SDI: SR) was developed to measure the self-determination of adolescents and was recently validated for students aged 13-22 with and without disabilities across diverse racial/ethnic backgrounds. The SDI: SR is aligned Causal Agency Theory and its theoretical conceptualizations of self-determined…
Descriptors: Testing, Self Determination, Scores, Students with Disabilities
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Kuhfeld, Megan; Soland, James – Journal of Research on Educational Effectiveness, 2020
Educational stakeholders have long known that students might not be fully engaged when taking an achievement test and that such disengagement could undermine the inferences drawn from observed scores. Thanks to the growing prevalence of computer-based tests and the new forms of metadata they produce, researchers have developed and validated…
Descriptors: Metadata, Computer Assisted Testing, Achievement Tests, Reaction Time
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Whitelock, Denise; Edwards, Chris; Okada, Alexandra – Journal of Learning for Development, 2020
The EU-funded TeSLA project -- Adaptive Trust-based e-Assessment System for Learning (http://tesla-project.eu) -- has developed a suite of instruments for e-Authentication. These include face recognition, voice recognition, keystroke dynamics, forensic analysis and plagiarism detection, which were designed for integration within a university's…
Descriptors: Computer Security, Electronic Learning, Student Attitudes, Teacher Attitudes
Council of Chief State School Officers, 2020
Any body of research evolves over time. Previous understandings become more nuanced, ideas are supported or rebuked, and, eventually we arrive at a clearer view of the issue. The research on score comparability across computerized devices is no exception. CCSSO [Council of Chief State School Officers] and the Center for Assessment have published…
Descriptors: Computer Assisted Testing, Scores, Intermode Differences, Influence of Technology
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
New York State Education Department, 2020
The New York State Education Department (NYSED) has a partnership with Questar Assessment Inc. (Questar) for the development of the 2020 Grades 3-8 English Language Arts Tests. Teachers from across the State work with NYSED in a variety of activities to ensure the validity and reliability of the New York State Testing Program (NYSTP). The 2020…
Descriptors: Testing Programs, Language Arts, Language Tests, Computer Assisted Testing
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