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Stenger, Rachel; Olson, Kristen; Smyth, Jolene D. – Field Methods, 2023
Questionnaire designers use readability measures to ensure that questions can be understood by the target population. The most common measure is the Flesch-Kincaid Grade level, but other formulas exist. This article compares six different readability measures across 150 questions in a self-administered questionnaire, finding notable variation in…
Descriptors: Readability, Readability Formulas, Computer Assisted Testing, Evaluation Methods
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Douglas Yeboah – Cogent Education, 2023
Computer-based test has been administered in e-learning environments as part of ICT integration in education. Recently, online test is gaining attention in both regular and distance education institutions, and students' preference or perception of an online test versus paper-based test is crucial in successful adoption or implementation of either…
Descriptors: Foreign Countries, Undergraduate Students, Test Format, Computer Assisted Testing
Ying Fang; Rod D. Roscoe; Danielle S. McNamara – Grantee Submission, 2023
Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Student Evaluation, Evaluation Methods
Moschella, Jennifer A. – ProQuest LLC, 2023
In higher education, the entry-level, not-for-credit courses in Developmental Education play a pivotal role for incoming degree-seeking students. Focusing specifically on Developmental Writing, at two- and four-year public and private institutions across the country, a common requirement to pass the course is a summative argumentative essay that…
Descriptors: Formative Evaluation, Writing Skills, Computer Assisted Testing, Basic Writing
Florida Department of Education, 2023
The purpose of this technical assistance paper is to assist education leaders and administrators in the consistent implementation of the Florida Career and Professional Education (CAPE) Act in Section 1003.491, Florida Statutes (F.S.). This technical assistance paper addresses questions on recent legislation, funding, and data reporting. [For the…
Descriptors: State Legislation, Vocational Education, Educational Legislation, Certification
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Falcão, Filipe; Pereira, Daniela Marques; Gonçalves, Nuno; De Champlain, Andre; Costa, Patrício; Pêgo, José Miguel – Advances in Health Sciences Education, 2023
Automatic Item Generation (AIG) refers to the process of using cognitive models to generate test items using computer modules. It is a new but rapidly evolving research area where cognitive and psychometric theory are combined into digital framework. However, assessment of the item quality, usability and validity of AIG relative to traditional…
Descriptors: Computer Assisted Testing, Test Construction, Test Items, Automation
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Sara Bagossi; Osama Swidan – International Journal for Technology in Mathematics Education, 2023
Second-order covariation is a form of mathematical reasoning that needs to be characterized both concerning students' cognitive processes and the design of tasks that promote it. This contribution aims to shed light on these two issues by comparing data related to the same learning experiment performed in two different learning environments:…
Descriptors: Cognitive Processes, Learning Processes, Curriculum Design, Computer Assisted Instruction
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Perkins, Beth A.; Satkus, Paulius; Finney, Sara J. – Journal of Psychoeducational Assessment, 2020
Few studies have examined the psychometric properties of the test-related items from the Achievement Emotions Questionnaire (AEQ). Using a sample of 955 university students, we examined the factor structure of 12 emotion items measuring test-related anger, boredom, enjoyment, and pride. Results indicated the four emotions were distinct, allowing…
Descriptors: Affective Measures, Questionnaires, Psychometrics, Test Items
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Mousavi, Amin; Cui, Ying – Education Sciences, 2020
Often, important decisions regarding accountability and placement of students in performance categories are made on the basis of test scores generated from tests, therefore, it is important to evaluate the validity of the inferences derived from test results. One of the threats to the validity of such inferences is aberrant responding. Several…
Descriptors: Student Evaluation, Educational Testing, Psychological Testing, Item Response Theory
New York State Education Department, 2020
The New York State Department of Education (NYSED) has a partnership with Questar Assessment Inc. (Questar) for the development of the 2020 Grades 3-8 Mathematics 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 Grades 6-8…
Descriptors: Mathematics Tests, Scheduling, Testing, Individualized Education Programs
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 Mathematics 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 Grades 3-5…
Descriptors: Mathematics Tests, Scheduling, Testing, Individualized Education Programs
New York State Education Department, 2018
The Regulations of the Commissioner of Education provide that an intermediate-level science test is to be administered in Grade 8 to serve as a basis for determining students' need for academic intervention services in science. The New York State Grade 8 Intermediate-Level Science Test consists of two required components: a Written Test and a…
Descriptors: Grade 8, Science Tests, Intermediate Grades, Testing Programs
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McIntosh, Kadian L.; Navarro Benavides, Victoria; Zaragoza, Cazandra – New Directions for Student Services, 2020
This chapter identifies strategies for conducting assessments in medical schools. We make recommendations for planning, methodology, dissemination, and follow-up.
Descriptors: Medical Students, Medical Schools, Testing, Evaluation Methods
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Luo, Xiao; Wang, Xinrui – International Journal of Testing, 2019
This study introduced dynamic multistage testing (dy-MST) as an improvement to existing adaptive testing methods. dy-MST combines the advantages of computerized adaptive testing (CAT) and computerized adaptive multistage testing (ca-MST) to create a highly efficient and regulated adaptive testing method. In the test construction phase, multistage…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Psychometrics
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Wise, Steven L. – Education Inquiry, 2019
A decision of whether to move from paper-and-pencil to computer-based tests is based largely on a careful weighing of the potential benefits of a change against its costs, disadvantages, and challenges. This paper briefly discusses the trade-offs involved in making such a transition, and then focuses on a relatively unexplored benefit of…
Descriptors: Computer Assisted Testing, Cheating, Test Wiseness, Scores
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