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Bulut, Okan; Bulut, Hatice Cigdem; Cormier, Damien C.; Ilgun Dibek, Munevver; Sahin Kursad, Merve – Educational Assessment, 2023
Some statewide testing programs allow students to receive corrective feedback and revise their answers during testing. Despite its pedagogical benefits, the effects of providing revision opportunities remain unknown in the context of alternate assessments. Therefore, this study examined student data from a large-scale alternate assessment that…
Descriptors: Error Correction, Alternative Assessment, Feedback (Response), Multiple Choice Tests
Kuang, Huan; Sahin, Fusun – Large-scale Assessments in Education, 2023
Background: Examinees may not make enough effort when responding to test items if the assessment has no consequence for them. These disengaged responses can be problematic in low-stakes, large-scale assessments because they can bias item parameter estimates. However, the amount of bias, and whether this bias is similar across administrations, is…
Descriptors: Test Items, Comparative Analysis, Mathematics Tests, Reaction Time
Espinosa, Allen A.; Gomez, Ma. Arsenia C.; Reyes, Allan S.; Macahilig, Heidi B.; Cortez, Leah Amor S.; David, Adonis P. – Issues in Educational Research, 2023
The participation of countries in various international large-scale assessments (ILSA) is motivated by different factors. In recent years however, there has been a growing popularity and importance placed on the results of ILSA. Recognising the significance of ILSA as a valuable source of feedback for enhancing the basic education system, the…
Descriptors: Foreign Countries, International Assessment, Educational Assessment, Preservice Teacher Education
Beckmann, Emily A.; Jastrowski Mano, Kristen E. – Psychology in the Schools, 2023
To develop the School Anxiety Inventory--College Version (SAI-CV)--a measure of school anxiety specifically tailored for college students--and provide initial reliability and validity evidence. College undergraduates (N = 1004) from a large Midwestern University. Participants completed the SAI-CV as well as measures of test anxiety, fear of…
Descriptors: Anxiety, Measures (Individuals), Affective Measures, Undergraduate Students
Yamaguchi, Kazuhiro – Journal of Educational and Behavioral Statistics, 2023
Understanding whether or not different types of students master various attributes can aid future learning remediation. In this study, two-level diagnostic classification models (DCMs) were developed to represent the probabilistic relationship between external latent classes and attribute mastery patterns. Furthermore, variational Bayesian (VB)…
Descriptors: Bayesian Statistics, Classification, Statistical Inference, Sampling
Dongil Shin – Language Testing, 2024
This paper addresses the intersection of testing and policy, situating test-driven impact and validation within the context of policy-led educational reform in Korea. I will briefly review the existing validation models. Then, arguing for an expansion of the conventional conceptualization of consequential validity research, I use Fairclough's…
Descriptors: Educational Policy, Discourse Analysis, Test Validity, Educational Change
Chengran Wang; Bing Wei – Physical Review Physics Education Research, 2024
The notion of scientific visual literacy has been advocated in recent science curriculum reform documents and related learning outcomes are expected from students. However, few studies have been conducted to determine how it is tested in high-stakes examinations. This study utilized the Visualization Blooming Tool to examine the level of visual…
Descriptors: Physics, Scientific Literacy, Science Tests, Thinking Skills
Ali Eryilmaz; Ahmet Basal – Education and Information Technologies, 2024
Learning does not happen immediately; it takes time and effort. Thus, patience is a virtue required for any type of successful learning. Given the increasing prevalence of online learning, understanding students' patience is necessary to devise ways to sustain it. In this study, we define online learning patience as the ability to steadily…
Descriptors: Test Construction, Electronic Learning, Student Attitudes, Personality Traits
Emre Zengin; Yasemin Karal – International Journal of Assessment Tools in Education, 2024
This study was carried out to develop a test to assess algorithmic thinking skills. To this end, the twelve steps suggested by Downing (2006) were adopted. Throughout the test development, 24 middle school sixth-grade students and eight experts in different areas took part as needed in the tasks on the project. The test was given to 252 students…
Descriptors: Grade 6, Algorithms, Thinking Skills, Evaluation Methods
Nikola Ebenbeck; Morten Bastian; Andreas Mühling; Markus Gebhardt – Journal of Computer Assisted Learning, 2024
Background: Computerised adaptive tests (CATs) are tests that provide personalised, efficient and accurate measurement while reducing testing time, depending on the desired level of precision. Schools have different types of assessments that can benefit from a significant reduction in testing time to varying degrees, depending on the area of…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Public Schools, Special Schools
Katherine S. Binder; Scott P. Ardoin; Joshua A. Mellott; Eloise Nimocks; Corrin Moss – Educational Assessment, 2024
Reading comprehension tests involve not only reading passages and answering questions but also making choices such as the test-taking strategy to use, whether to search passages for answers, and where to begin searching. We examined the associations between student characteristics, passage type, test-taking strategies, and students' time searching…
Descriptors: Reading Comprehension, Reading Tests, Reading Processes, Reading Strategies
Yi-Chun Chen; Hsin-Kai Wu; Ching-Ting Hsin – Research in Science & Technological Education, 2024
Background and Purpose: As a growing number of instructional units have been developed to promote young children's scientific and engineering practices (SEPs), understanding how to evaluate and assess children's SEPs is imperative. However, paper-and-pencil assessments would not be suitable for young children because of their limited reading and…
Descriptors: Science Education, Engineering Education, Elementary School Students, Middle School Students
Chet Robie; Sabah Rasheed; Stephen D. Risavy; Piers Steel – International Journal of Testing, 2024
This meta-analysis examined the validity of an alternative to traditional assessments called the Wonderlic which is a brief measure of general mental ability. Our results showed significant, positive correlations between Wonderlic scores and academic performance in general ([r-bar] = 0.26), between Wonderlic scores and undergraduate GPA in…
Descriptors: Meta Analysis, Test Validity, Alternative Assessment, Scores
Alistair M. Moore; Peter Fairhurst; Judith M. Bennett; Christine Harrison; Catarina F. Correia; Jessie Durk – International Journal of Science Education, 2024
High-stakes assessments prominently influence what is done in secondary school science lessons ('washback' effects). It is therefore important that assessments of knowledge and understanding gained from practical work are constructed to reward and incentivise effective practices in practical work. To do that, they must differentiate between pupils…
Descriptors: High Stakes Tests, Science Tests, Writing Tests, Secondary School Science
Philomina Abena Anyidoho; Rebecca Berenbon; Bridget McHugh – International Journal of Training and Development, 2024
Many workforce development training programmes use learning gains as a measure of programme effectiveness. However, research on K-12 education suggests that posttest scores may be influenced by pretesting effects. Pretesting may improve posttest performance by giving learners preknowledge of posttest content. Alternatively, pretesting may enhance…
Descriptors: Trainees, Trainers, Labor Force Development, High Stakes Tests

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