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New York State Education Department, 2023
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts and Mathematics Tests. School administrators must be thoroughly familiar with the contents of the manual, and the policies and procedures must be followed as written so that testing…
Descriptors: Testing Programs, Mathematics Tests, Test Format, Computer Assisted Testing
LaVoie, Noelle; Parker, James; Legree, Peter J.; Ardison, Sharon; Kilcullen, Robert N. – Educational and Psychological Measurement, 2020
Automated scoring based on Latent Semantic Analysis (LSA) has been successfully used to score essays and constrained short answer responses. Scoring tests that capture open-ended, short answer responses poses some challenges for machine learning approaches. We used LSA techniques to score short answer responses to the Consequences Test, a measure…
Descriptors: Semantics, Evaluators, Essays, Scoring
Guerrero, Tricia A.; Wiley, Jennifer – Grantee Submission, 2019
Teachers may wish to use open-ended learning activities and tests, but they are burdensome to assess compared to forced-choice instruments. At the same time, forced-choice assessments suffer from issues of guessing (when used as tests) and may not encourage valuable behaviors of construction and generation of understanding (when used as learning…
Descriptors: Computer Assisted Testing, Student Evaluation, Introductory Courses, Psychology
Goecke, Benjamin; Schmitz, Florian; Wilhelm, Oliver – Journal of Intelligence, 2021
Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a…
Descriptors: Intelligence, Cognitive Processes, Short Term Memory, Reaction Time
Potter, Andrew; Wilson, Joshua – Educational Technology Research and Development, 2021
Automated Writing Evaluation (AWE) provides automatic writing feedback and scoring to support student writing and revising. The purpose of the present study was to analyze a statewide implementation of an AWE software (n = 114,582) in grades 4-11. The goals of the study were to evaluate: (1) to what extent AWE features were used; (2) if equity and…
Descriptors: Computer Assisted Testing, Writing Evaluation, Feedback (Response), Scoring
Allalouf, Avi; Gutentag, Tony; Baumer, Michal – Educational Measurement: Issues and Practice, 2017
Quality control (QC) in testing is paramount. QC procedures for tests can be divided into two types. The first type, one that has been well researched, is QC for tests administered to large population groups on few administration dates using a small set of test forms (e.g., large-scale assessment). The second type is QC for tests, usually…
Descriptors: Quality Control, Scoring, Computer Assisted Testing, Error Patterns
New York State Education Department, 2024
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts, Mathematics, and Grades 5 & 8 Science Tests. School administrators must be thoroughly familiar with the contents of the manual, and the policies and procedures must be followed…
Descriptors: Testing Programs, Language Arts, Mathematics Tests, Science Tests
Rajab Esfandiari; Mohammad Hossein Arefian – Education and Information Technologies, 2024
Computer-assisted language assessment literacy (LAL) has gained momentum in English as a foreign language (EFL) teaching since computer-based education became particularly common in language education. As EFL teachers play a critical role in administering computer-assisted language assessments, Iranian EFL teachers need to learn, relearn, and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
Lynch, Sarah – Practical Assessment, Research & Evaluation, 2022
In today's digital age, tests are increasingly being delivered on computers. Many of these computer-based tests (CBTs) have been adapted from paper-based tests (PBTs). However, this change in mode of test administration has the potential to introduce construct-irrelevant variance, affecting the validity of score interpretations. Because of this,…
Descriptors: Computer Assisted Testing, Tests, Scores, Scoring
Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
Cox, Troy L.; Brown, Alan V.; Thompson, Gregory L. – Language Testing, 2023
The rating of proficiency tests that use the Inter-agency Roundtable (ILR) and American Council on the Teaching of Foreign Languages (ACTFL) guidelines claims that each major level is based on hierarchal linguistic functions that require mastery of multidimensional traits in such a way that each level subsumes the levels beneath it. These…
Descriptors: Oral Language, Language Fluency, Scoring, Cues
Jones, Daniel Marc; Cheng, Liying; Tweedie, M. Gregory – Canadian Journal of Learning and Technology, 2022
This article reviews recent literature (2011-present) on the automated scoring (AS) of writing and speaking. Its purpose is to first survey the current research on automated scoring of language, then highlight how automated scoring impacts the present and future of assessment, teaching, and learning. The article begins by outlining the general…
Descriptors: Automation, Computer Assisted Testing, Scoring, Writing (Composition)
Seifried, Jürgen; Brandt, Steffen; Kögler, Kristina; Rausch, Andreas – Cogent Education, 2020
Problem-solving competence is an important requirement in back offices across different industries. Thus, the assessment of problem-solving competence has become an important issue in learning and instruction in vocational and professional contexts. We developed a computer-based low-stakes assessment of problem-solving competence in the domain of…
Descriptors: Foreign Countries, Vocational Education, Student Evaluation, Computer Assisted Testing
Magliano, Joseph P.; Lampi, Jodi P.; Ray, Melissa; Chan, Greta – Grantee Submission, 2020
Coherent mental models for successful comprehension require inferences that establish semantic "bridges" between discourse constituents and "elaborations" that incorporate relevant background knowledge. While it is established that individual differences in the extent to which postsecondary students engage in these processes…
Descriptors: Reading Comprehension, Reading Strategies, Inferences, Reading Tests
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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