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Clements, Douglas H.; Banse, Holland; Sarama, Julie; Tatsuoka, Curtis; Joswick, Candace; Hudyma, Aaron; Van Dine, Douglas W.; Tatsuoka, Kikumi K. – Mathematical Thinking and Learning: An International Journal, 2022
Researchers often develop instruments using correctness scores (and a variety of theories and techniques, such as Item Response Theory) for validation and scoring. Less frequently, observations of children's strategies are incorporated into the design, development, and application of assessments. We conducted individual interviews of 833…
Descriptors: Item Response Theory, Computer Assisted Testing, Test Items, Mathematics Tests
Prakasha, G. S.; Hemalathaa, K. Y.; Tamizh, Ponni; Bhavna, Bhola; Kenneth, Anthony – Problems of Education in the 21st Century, 2021
Outbreak of COVID-19, online examination, and e-proctoring have caused more exam anxiety and affected exam performance among students' studying in International Baccalaureate (IB) Diploma Programme (DP). Therefore, the present research aimed to find effect of online test anxiety on academic performance of IBDP students in the subjects related to…
Descriptors: Computer Assisted Testing, Test Anxiety, Scores, Advanced Placement Programs
White, Jonathon David – Physics Education, 2020
COVID-19 has upset the traditional ways of teaching and looks set to continue to have an impact in the coming years. The situation in Taiwan--partial disruption and then an early return to classes--allows for a comparison of student performance in a conventional teaching and testing environment with the non-contact teaching/testing environment…
Descriptors: Physics, Science Instruction, COVID-19, Pandemics
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
Marinho, Nathalie L.; Witmer, Sara E.; Jess, Nicole; Roschmann, Sarina – Language Assessment Quarterly, 2023
The use of accommodations is often recommended to remove barriers to academic testing among English Learners (ELs). However, it is unclear whether accommodations are particularly effective at improving ELs' test scores. A growing foundation of empirical work has explored this topic. We conducted a meta-analysis that examined several possible…
Descriptors: English Language Learners, Testing Accommodations, Barriers, Scores
Hakelind, Camilla; Sundström, Anna E. – Psychology Learning and Teaching, 2022
Finding valid and reliable ways to assess complex clinical skills within psychology is a challenge. Recently, there have been some examples of applying Objective Structured Clinical Examinations (OSCEs) in psychology for making such assessments. The aim of this study was to examine students' and examiners' perceptions of a digital OSCE in…
Descriptors: Graduate Students, Masters Programs, Clinical Psychology, Student Evaluation
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2022
Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…
Descriptors: Writing Evaluation, Writing Tests, Predictive Validity, Formative Evaluation
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Assessment in Education: Principles, Policy & Practice, 2022
Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…
Descriptors: Writing Evaluation, Writing Tests, Predictive Validity, Formative Evaluation
Ben-Yehudah, Gal; Eshet-Alkalai, Yoram – British Journal of Educational Technology, 2021
The use of digital environments for both learning and assessment is becoming prevalent. This often leads to incongruent situations, in which the study medium (eg, printed textbook) is different from the testing medium (eg, online multiple-choice exams). Despite some evidence that incongruent study-test situations are associated with inferior…
Descriptors: Reading Comprehension, Reading Tests, Test Format, Computer Assisted Testing
Wolkowitz, Amanda A.; Foley, Brett P.; Zurn, Jared – Journal of Applied Testing Technology, 2021
As assessments move from traditional paper-pencil administration to computer-based administration, many testing programs are incorporating alternative item types (AITs) into assessments with the goals of measuring higher-order thinking, offering insight into problem-solving, and representing authentic real-world tasks. This paper explores multiple…
Descriptors: Psychometrics, Alternative Assessment, Computer Assisted Testing, Test Items
Heled, Eyal; Ohayon, Maayan – Journal of Deaf Studies and Deaf Education, 2021
Studies examining visuospatial working memory (WM) in individuals with congenital deafness have yielded inconsistent results, and tactile WM has rarely been examined. The current study examined WM span tasks in the two modalities among 20 individuals with congenital deafness and 20 participants with typical hearing. The congenital deafness group…
Descriptors: Short Term Memory, Deafness, Tactual Perception, Visual Perception
Knowles, Andrea; Linsell, Chris; Baeumer, Boris; Anakin, Megan – Mathematics Education Research Group of Australasia, 2021
This paper describes the development and efficacy of an online tool for assessing the numeracy of undergraduate students. The tool was designed to be easy to administer, provide immediate feedback to students on whether they had the required level of numeracy, and to be consistent with other measures of adult numeracy. When used with students…
Descriptors: Numeracy, Probability, Undergraduate Students, Computer Assisted Testing
Myers, Matthew C.; Wilson, Joshua – International Journal of Artificial Intelligence in Education, 2023
This study evaluated the construct validity of six scoring traits of an automated writing evaluation (AWE) system called "MI Write." Persuasive essays (N = 100) written by students in grades 7 and 8 were randomized at the sentence-level using a script written with Python's NLTK module. Each persuasive essay was randomized 30 times (n =…
Descriptors: Construct Validity, Automation, Writing Evaluation, Algorithms
Alexander James Kwako – ProQuest LLC, 2023
Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…
Descriptors: Gender Bias, Natural Language Processing, Native Language, Computational Linguistics
Rotou, Ourania; Rupp, André A. – ETS Research Report Series, 2020
This research report provides a description of the processes of evaluating the "deployability" of automated scoring (AS) systems from the perspective of large-scale educational assessments in operational settings. It discusses a comprehensive psychometric evaluation that entails analyses that take into consideration the specific purpose…
Descriptors: Computer Assisted Testing, Scoring, Educational Assessment, Psychometrics

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