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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
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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
Geoffrey Converse – ProQuest LLC, 2021
In educational measurement, Item Response Theory (IRT) provides a means of quantifying student knowledge. Specifically, IRT models the probability of a student answering a particular item correctly as a function of the student's continuous-valued latent abilities [theta] (e.g. add, subtract, multiply, divide) and parameters associated with the…
Descriptors: Item Response Theory, Test Validity, Student Evaluation, Computer Assisted Testing
Seth Brown – ProQuest LLC, 2021
Over past decade, districts throughout the United States have reformed their teacher evaluation systems in order to support teachers to improve teacher practices and to improve the composition of teachers in the workforce. Despite the widespread reform of evaluation systems, little research has examined the impacts these systems have on teacher…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Instructional Effectiveness, Instructional Improvement
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Abed Alkarim Ayyoub; Oqab Jabali – Cypriot Journal of Educational Sciences, 2021
Educational institutions strive to achieve their purposes mainly assessing students' performance and abilities; they might use traditional types of assessment or they may be forced to apply electronic assessment in certain situations such as those dictated by the current spread of COVID-19 Pandemic. The current study aims at providing insights…
Descriptors: College Students, Student Attitudes, Computer Assisted Testing, COVID-19
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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
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Isaacs, Talia; Hu, Ruolin; Trenkic, Danijela; Varga, Julia – Language Testing, 2023
The COVID-19 pandemic has changed the university admissions and proficiency testing landscape. One change has been the meteoric rise in use of the fully automated Duolingo English Test (DET) for university entrance purposes, offering test-takers a cheaper, shorter, accessible alternative. This rapid response study is the first to investigate the…
Descriptors: Predictive Validity, Educational Technology, Handheld Devices, Language Tests
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Coetzee, Stephen A.; Schmulian, Astrid; Janse van Rensburg, Cecile – Accounting Education, 2023
As a result of containment measures implemented during COVID-19, the authors needed to re-envision and restructure in-person assessments for learning that provided immediate peer feedback to students in their competency-based financial reporting course. Peer feedback is crucial in competency-based education, as mastering a competency necessitates…
Descriptors: Computer Mediated Communication, Peer Evaluation, Feedback (Response), Computer Assisted Testing
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Siyuan Shao – SAGE Open, 2023
After the outbreak of the COVID-19 pandemic, distance teaching brought on unforeseen challenges around the world, including classroom-based assessment practice. However, little attention has been paid to teachers' assessment practice and their identity as assessor in the new teaching situation. This study examines Chinese K-12 in-service EFL…
Descriptors: Kindergarten, Elementary Secondary Education, Computer Assisted Testing, Foreign Countries
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Sangsuwan, Wiramon; Rukthong, Anchana – LEARN Journal: Language Education and Acquisition Research Network, 2023
A direct test of English speaking is important to evaluate what learners can do in real-life situations. However, due to challenges in test administration, especially with a large number of test-takers, a direct speaking test may not be feasible in many contexts and thus indirect tests, such as conversational cloze tests, are mainly used. In…
Descriptors: Language Tests, Speech Communication, Computer Assisted Testing, English (Second Language)
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Broadbent, J.; Ajjawi, R.; Bearman, M.; Boud, D.; Dawson, P. – International Journal of Educational Technology in Higher Education, 2023
The COVID-19 pandemic significantly disrupted traditional methods of teaching and learning within higher education. But what remained when the pandemic passed? While the majority of the literature explores the shifts "during" the pandemic, with much speculation about post-pandemic futures, a clear understanding of lasting implications…
Descriptors: Universities, Foreign Countries, Course Content, Pandemics
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Miihkinen, Antti – Accounting Education, 2023
This study examines business students' learning and assessment under remote teachings during the COVID-19 pandemic in a well-established Finnish university. A survey method is used to collect information on 336 business students including 42 accounting students. As indicated by students' responses, a majority of the students succeeded in assessing…
Descriptors: Foreign Countries, Business Administration Education, Accounting, College Students
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
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Boatman, Angela; Long, Bridget Terry – Educational Evaluation and Policy Analysis, 2018
We examine the impact of remedial and developmental courses on college students with varying levels of academic preparedness, thus focusing on a wider range of students than previous studies. Using a regression discontinuity design, we provide causal estimates of the effects of placement in different levels of remedial courses on short-,…
Descriptors: Remedial Programs, Developmental Programs, College Students, Regression (Statistics)
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