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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
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
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
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
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
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
Lin, Chuan-Ju; Chang, Hua-Hua – Educational and Psychological Measurement, 2019
For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item selection criterion, namely, the standardized…
Descriptors: Test Items, Selection Criteria, Computer Assisted Testing, Adaptive Testing
Öztürk, Nagihan Boztunç – Universal Journal of Educational Research, 2019
In this study, how the length and characteristics of routing module in different panel designs affect measurement precision is examined. In the scope of the study, six different routing module length, nine different routing module characteristics, and two different panel design are handled. At the end of the study, the effects of conditions on…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Length, Test Format
Tsaousis, Ioannis; Sideridis, Georgios D.; AlGhamdi, Hannan M. – Journal of Psychoeducational Assessment, 2021
This study evaluated the psychometric quality of a computerized adaptive testing (CAT) version of the general cognitive ability test (GCAT), using a simulation study protocol put forth by Han, K. T. (2018a). For the needs of the analysis, three different sets of items were generated, providing an item pool of 165 items. Before evaluating the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Cognitive Tests, Cognitive Ability
Gürbüz Ocak; Gülçin Karakus – Malaysian Online Journal of Educational Technology, 2024
The purpose of this study is to determine and compare how undergraduate students' attitudes towards on-line exams vary depending on gender and some technological variables. This study was carried out by using a survey method. As data collection tool, the Undergraduate Students Attitude Scale Towards On-line Exams which consists of 21 items, each…
Descriptors: Undergraduate Students, Student Attitudes, Attitude Change, Computer Assisted Testing
Alberto Ortiz-López; Susana Olmos-Migueláñez; José Carlos Sánchez-Prieto – Education and Information Technologies, 2024
Today, education is facing a new reality in which technology and new teaching methods are being quickly introduced into educational systems and institutions. Educational institutions are now dealing with the challenge of providing continuity to e-learning, turning it into a more flexible and up-to-date field, and considering assessment as a…
Descriptors: Evaluation Methods, Digital Literacy, Computer Assisted Testing, Technology Uses in Education
Caitríona Ní Shé; Ciarán Mac an Bhaird; Eabhnat Ní Fhloinn – International Journal of Mathematical Education in Science and Technology, 2024
Even prior to COVID-19, there had been an increase in the use of technology in undergraduate mathematics education to support the development of mathematical understanding and skill, and to enhance the student learning environment. Technology-enhanced resources can be used to provide formative assessment which can help students identify gaps in…
Descriptors: Foreign Countries, Mathematics Instruction, College Faculty, Formative Evaluation

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