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Tingting Li; Kevin Haudek; Joseph Krajcik – Journal of Science Education and Technology, 2025
Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…
Descriptors: Artificial Intelligence, Scientific Concepts, Models, Automation
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Han, Chao – Language Testing, 2022
Over the past decade, testing and assessing spoken-language interpreting has garnered an increasing amount of attention from stakeholders in interpreter education, professional certification, and interpreting research. This is because in these fields assessment results provide a critical evidential basis for high-stakes decisions, such as the…
Descriptors: Translation, Language Tests, Testing, Evaluation Methods
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Gardner, John; O'Leary, Michael; Yuan, Li – Journal of Computer Assisted Learning, 2021
Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…
Descriptors: Artificial Intelligence, Educational Assessment, Formative Evaluation, Summative Evaluation
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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)
Partnership for Assessment of Readiness for College and Careers, 2019
The Partnership for Assessment of Readiness for College and Careers (PARCC) is a state-led consortium designed to create next-generation assessments that, compared to traditional K-12 assessments, more accurately measure student progress toward college and career readiness. The PARCC assessments are aligned to the Common Core State Standards…
Descriptors: College Readiness, Career Readiness, Common Core State Standards, Language Arts
Partnership for Assessment of Readiness for College and Careers, 2018
The purpose of this technical report is to describe the third operational administration of the Partnership for Assessment of Readiness for College and Careers (PARCC) assessments in the 2016-2017 academic year. PARCC is a state-led consortium creating next-generation assessments that, compared to traditional K-12 assessments, more accurately…
Descriptors: College Readiness, Career Readiness, Common Core State Standards, Language Arts
New Meridian Corporation, 2020
The purpose of this report is to describe the technical qualities of the 2018-2019 operational administration of the English language arts/literacy (ELA/L) and mathematics summative assessments in grades 3 through 8 and high school. The ELA/L assessments focus on reading and comprehending a range of sufficiently complex texts independently and…
Descriptors: Language Arts, Literacy Education, Mathematics Education, Summative Evaluation
New Meridian Corporation, 2020
The purpose of this report is to describe the technical qualities of the 2018-2019 operational administration of the English language arts/literacy (ELA/L) and mathematics assessments in grades 3 through 8 and high school. New Meridian, in coordination with multiple states and vendors, developed an alternate form of the summative assessment to…
Descriptors: Language Arts, Literacy Education, Mathematics Education, Summative Evaluation
Partnership for Assessment of Readiness for College and Careers, 2017
The Partnership for Assessment of Readiness for College and Careers (PARCC) is a state-led consortium designed to create next-generation assessments that, compared to traditional K-12 assessments, more accurately measure student progress toward college and career readiness. The PARCC assessments are aligned to the Common Core State Standards…
Descriptors: College Readiness, Career Readiness, Common Core State Standards, Language Arts
Hedl, John J., Jr.; And Others – 1971
The development and evaluation of an interactive computer-based administration and scoring program for the Slosson Intelligence Test (SIT) is discussed. A computer program successfully developed for administering and scoring the Wechsler Adult Intelligence Scale is cited to support the feasibility of developing this proposed SIT program. Testing,…
Descriptors: Attitude Measures, Automation, College Students, Computer Programs
RICHARDS, JAMES M., JR. – 1966
WITH EXISTING COMPUTER TECHNOLOGY, TESTS FOR SCREENING COLLEGE APPLICANTS CAN BE WRITTEN BY COMPUTERS. RESULTS OF A 72-ITEM COMPUTER-WRITTEN SYNONYMS TEST WERE COMPARED WITH THOSE OF THE ETS WIDE RANGE VOCABULARY TEST. BOTH TESTS WERE ADMINISTERED IN THE FALL OF 1965 TO ENTERING UNIVERSITY OF IOWA FRESHMEN. AT THE END OF THE FIRST SEMESTER, THESE…
Descriptors: Admission Criteria, Automation, College Entrance Examinations, Computers
Martinez, Michael E.; And Others – 1990
Large-scale testing is dominated by the multiple-choice question format. Widespread use of the format is due, in part, to the ease with which multiple-choice items can be scored automatically. This paper examines automatic scoring procedures for an alternative item type: figural response. Figural response items call for the completion or…
Descriptors: Automation, Computer Assisted Testing, Educational Technology, Multiple Choice Tests
Hansen, Duncan N.; And Others – 1971
A review of the literature on automated psychological testing shows that most research and development in this area is based on a one-test, one-psychologist model. In this model, the functions of test administration, scoring, and interpretation are thought out in terms of specific tests presented on an individualized basis. However, more complete…
Descriptors: Automation, Computer Oriented Programs, Computers, Educational Testing