Advancing Human Assessment [[electronic resource] ] : The Methodological, Psychological and Policy Contributions of ETS / / edited by Randy E. Bennett, Matthias von Davier |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XIV, 711 p. 15 illus.) |
Disciplina | 371.26 |
Collana | Methodology of Educational Measurement and Assessment |
Soggetto topico |
Assessment
Psychometrics Statistics Educational policy Education and state Assessment, Testing and Evaluation Statistical Theory and Methods Educational Policy and Politics Statistics for Social Sciences, Humanities, Law |
ISBN | 3-319-58689-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. What Does It Mean to Be a Nonprofit Educational Measurement Organization in the 21st Century?- PART 1: ETS Contributions to Developing Analytic Tools for Educational Measurement -- 2. A Review of Classical Item Analysis Developments and Applications -- 3. Psychometric Contributions: Focus on Test Scores -- 4. Contributions to Score Linking Theory and Practice -- 5. Item Response Theory -- 6. Research on Statistics -- 7. Contributions to the Quantitative Assessment of Item, Test, and Score Fairness -- PART 2: ETS Contributions to Education Policy and Evaluation -- 8. Large-Scale Group-Score Assessment -- 9. Large-Scale Assessments of Adult Literacy -- 10. Modeling Change in Large-Scale Longitudinal Studies of Educational Growth: Four Decades of Contributions to the Assessment of Educational Growth.- 11. Evaluating Educational Programs -- 12. Contributions to Education Policy Research -- PART III: ETS Contributions to Research in Scientific Psychology -- 13. Research on Cognitive, Personality, and Social Psychology: I -- 14. Research on Cognitive, Personality, and Social Psychology: II -- 15. Research on Developmental Psychology -- PART IV: ETS Contributions to Validity -- 16. Research on Validity Theory and Practice at ETS -- 17. Understanding the Impact of Special Preparation for Admissions Tests -- 18. A Historical Survey of Research Regarding Constructed-Response Formats -- 19. Advancing Human Assessment: A Synthesis Over Seven Decades. |
Record Nr. | UNINA-9910231245003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advancing Natural Language Processing in Educational Assessment |
Autore | Yaneva Victoria |
Pubbl/distr/stampa | Milton : , : Taylor & Francis Group, , 2023 |
Descrizione fisica | 1 online resource (261 pages) |
Disciplina | 371.26/1 |
Altri autori (Persone) | von DavierMatthias |
Soggetto topico |
Educational tests and measurements - Technological innovations
Natural language processing (Computer science) |
ISBN |
1-00-327865-5
1-000-90416-4 1-003-27865-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The role of robust software in automated scoring / Nitin Madnani, Aoife Cahill, and Anastassia Loukina -- Psychometric considerations when using deep learning for automated scoring / Susan Lottridge, Chris Ormerod, and Amir Jafari -- Speech analysis in assessment / Jared C. Bernstein and Jian Cheng -- Assessment of clinical skills : a case study in constructing an NLP-based scoring system for patient notes / Polina Harik, Janet Mee, Christopher Runyon, and Brian E. Clauser -- Automatic generation of multiple-choice test items from paragraphs using deep nural networks / Ruslan Mitkov, Le An Ha, Halyna Maslak, Tharindu Ranasinghe, and Vilelmini Sosoni -- Training Optimus Prime, M.D. : a case study of automated item generation using artificial intelligence : from fine-tuned GPT2 to GPT3 and beyond / Matthias von Davier -- Computational psychometrics for digital-first assessments : a blend of ML and psychometrics for item generation and scoring / Geoff LaFlair, Kevin Yancey, Burr Settles, Alina A von Davier -- Validity, fairness, and technology-based assessment / Suzanne Lane -- Evaluating fairness of automated scoring in educational measurement / Matthew S. Johnson and Daniel F. McCaffrey -- Extracting linguistic signal from item text and its application to modeling item characteristics / Victoria Yaneva, Peter Baldwin, Le An Ha, and Christopher Runyon -- Stealth literacy assessment : leveraging games and NLP in iSTART / Ying Fang, Laura K. Allen, Rod D. Roscoe, and Danielle S. McNamara -- Measuring scientific understanding across international samples : the promise of machine translation and NLP-based machine learning technologies / Minsu Ha and Ross H. Nehm -- Making sense of college students' writing achievement and retention with automated writing evaluation / Jill Burstein, Daniel McCaffrey, Steven Holtzman & Beata Beigman Klebanov. |
Record Nr. | UNINA-9910725059703321 |
Yaneva Victoria | ||
Milton : , : Taylor & Francis Group, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Handbook of Diagnostic Classification Models : Models and Model Extensions, Applications, Software Packages / / edited by Matthias von Davier, Young-Sun Lee |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (646 pages) |
Disciplina | 371.26 |
Collana | Methodology of Educational Measurement and Assessment |
Soggetto topico |
Educational tests and measurements
Psychometrics Social sciences - Statistical methods Cognitive psychology Assessment and Testing Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Cognitive Psychology |
ISBN | 3-030-05584-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Introduction: From Latent Class Analysis to DINA and Beyond -- PART 1: Approaches to Cognitive Diagnosis -- 2. Nonparametric Item Response Theory and Mokken Scale Analysis, with Relations to Latent Class Models and Cognitive Diagnostic Models -- 3. The Reparameterized Unified Model System: A Diagnostic Assessment Modeling Approach -- 4.Bayesian Networks -- 5. Nonparametric Classification Models -- 6. General Diagnostic Model (GDM) -- 7. Generalized Deterministic Inputs, Noisy “and” Gate Model (G-DINA) -- 8. Loglinear Cognitive Diagnostic Model (LCDM) -- 9. Diagnostic Modeling of Skill Hierarchies and Cognitive Process with MLTM-D -- 10. Explanatory Diagnostic Models -- 11. Insights from Reparametrized DINA and Beyond -- PART 2: Special Topics -- 12. Q Matrix Learning via Latent Variable Selection and Identifiability -- 13. Global Model and Item-level Fit Indices -- 14.Exploratory Data Analysis and Cognitive Diagnostic Model -- 15. CDM-CAT -- 16. Identifiability and Cognitive Diagnostic Model -- 17. Classification Consistency and Reliability -- 18.Differential Item Functioning in CDM -- 19. Parameter Invariance and Skill Attribute Continuity in DCMs: Bifactor MIRT as an Appealing and Related Alternative -- PART 3: Applications -- 20.Application of CDMs to Process Data Analysis -- 21. Application of CDMs to Learning Systems -- 22. CDMs in Vocational Education -- 23. Analyzing Large Scale Assessment Data with Diagnostic Models -- 24. Reduced Reparameterized Unified Model Applied to Learning Spatial Reasoning Skills -- 25. How to Conduct a Study with Diagnostic Models -- PART 4: Software, Data, and Tools -- 26. The R package CDM for Diagnostic Modeling -- 27. Diagnostic Classification Modeling with flexMIRT -- 28. Using Mplus to Estimate the Log-Linear Cognitive Diagnosis Model -- 29. The GDINA R-package -- 30. GDM software mdltm including Parallel EM algorithm.-31. Estimating CDMs using MCMC. |
Record Nr. | UNINA-9910349329803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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