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Eaton, Sarah Elaine; Turner, Kristal Louise – Online Submission, 2020
Purpose: The goal of this study was to understand the relationship between academic integrity and students' mental health during the COVID-19 crisis. Methods: We employed a rapid review method to identify relevant data sources using our university library search tool, which offers access to 1026 individual databases. We searched for sources…
Descriptors: COVID-19, Pandemics, Mental Health, College Students
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Sun, Bo; Zhu, Yunzong; Yao, Zeng; Xiao, Rong; Xiao, Yongkang; Wei, Yungang – IEEE Transactions on Learning Technologies, 2020
Reading comprehension tasks are commonly used for developing students' reading ability. In order to adaptively recommend reading comprehension materials to students engaged in computerized testing, the information in an item bank (a collection of test items stored in a dataset) must be effectively indexed. Familiarity with the topics present in…
Descriptors: Automation, Indexing, Item Banks, Classification
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Kirsch, Irwin; Braun, Henry – Large-scale Assessments in Education, 2020
Mounting concerns about the levels and distributions of human capital, as well as how they are associated with outcomes for individuals and societies, have contributed to an increase in the number of national and international surveys. These surveys not only examine skills among school-age and adult populations, they also facilitate evaluation of…
Descriptors: International Assessment, Computer Assisted Testing, Human Capital, Program Evaluation
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Muuli, Eerik; Tõnisson, Eno; Lepp, Marina; Luik, Piret; Palts, Tauno; Suviste, Reelika; Papli, Kaspar; Säde, Merilin – Education and Information Technologies, 2020
There are thousands of participants in different programming MOOCs (Massive Open Online Courses) which means thousands of solutions have to be assessed. As it is very time-consuming to assess that amount of solutions manually, using automated assessment is essential. Since task requirements must be strict for the solutions to be automatically…
Descriptors: Online Courses, Programming, Computer Assisted Testing, Visual Stimuli
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Bao, Yu; Bradshaw, Laine – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs) can provide multidimensional diagnostic feedback about students' mastery levels of knowledge components or attributes. One advantage of using DCMs is the ability to accurately and reliably classify students into mastery levels with a relatively small number of items per attribute. Combining DCMs with…
Descriptors: Test Items, Selection, Adaptive Testing, Computer Assisted Testing
Lin, Ye – ProQuest LLC, 2018
With the widespread use of technology in the assessment field, many testing programs use both computer-based tests (CBTs) and paper-and-pencil tests (PPTs). Both the Standards for Educational and Psychological Testing (AERA, APA, & NCME, 2014) and the International Guidelines on Computer-Based and Internet Delivered Testing (International Test…
Descriptors: Computer Assisted Testing, Testing, Student Evaluation, Elementary School Students
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Allehaiby, Wid Hasen; Al-Bahlani, Sara – Arab World English Journal, 2021
One of the main challenges higher educational institutions encounter amid the recent COVID-19 crisis is transferring assessment approaches from the traditional face-to-face form to the online Emergency Remote Teaching approach. A set of language assessment principles, practicality, reliability, validity, authenticity, and washback, which can be…
Descriptors: Barriers, Distance Education, Evaluation Methods, Teaching Methods
New York State Education Department, 2019
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts and Mathematics Tests. School administrators must be thoroughly familiar with the contents of the manual and the policies and procedures must be followed as written so that testing…
Descriptors: Testing Programs, Mathematics Tests, Test Format, Computer Assisted Testing
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Solano-Flores, Guillermo; Chia, Magda; Kachchaf, Rachel – International Multilingual Research Journal, 2019
This paper is concerned with fair and valid testing. It reports on a long-term project aimed at creating visual accessibility resources in mathematics computer-administered test items in a large-scale assessment system. We discuss our experience designing and developing pop-up illustration glossaries (IGs) for second language learners (SLLs) --…
Descriptors: Second Language Learning, Computer Assisted Testing, Testing Accommodations, Glossaries
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Sahin, Melek Gülsah; Öztürk, Nagihan Boztunç – International Journal of Assessment Tools in Education, 2019
New statistical methods are being added to the literature as a result of scientific developments each and every day. This study aims at investigating one of these, Maximum Likelihood Score Estimation with Fences (MLEF) method, in ca-MST. The results obtained from this study will contribute to both national and international literature since there…
Descriptors: Maximum Likelihood Statistics, Computation, International Assessment, Foreign Countries
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Ong, Jonathan Sing Huat; Mohan, Prasanth Rajan; Han, Jia Yi; Chew, Jia Ying; Fung, Fun Man – Journal of Chemical Education, 2021
In light of the COVID-19 pandemic, the transition from traditional face-to-face lectures to online learning, as well as the adoption of technology-enabled active learning in the classroom, has been accelerated. Here, we introduce the use of Telegram as a technological tool to support remote learning by helping students identify gaps in their…
Descriptors: Computer Assisted Testing, Computer Mediated Communication, Chemistry, COVID-19
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Rios, Joseph A.; Deng, Jiayi – Large-scale Assessments in Education, 2021
Background: In testing contexts that are predominately concerned with power, rapid guessing (RG) has the potential to undermine the validity of inferences made from educational assessments, as such responses are unreflective of the knowledge, skills, and abilities assessed. Given this concern, practitioners/researchers have utilized a multitude of…
Descriptors: Test Wiseness, Guessing (Tests), Reaction Time, Computer Assisted Testing
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Alyahya, Sultan; Aldausari, Asma – Electronic Journal of e-Learning, 2021
The National Center for Measurement (Qiyas) was established for the purpose of conducting standardized tests in Saudi Arabia. The center has developed multiple Qiyas tests such as the General Aptitude Test (GAT) and the Scholastic Achievement Admission Test (SAAT). Qiyas tests are used as a pre-requisite requirement for applying to universities…
Descriptors: Electronic Learning, Cooperative Learning, Educational Environment, Standardized Tests
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Candel, Carmen; Máñez, Ignacio; Cerdán, Raquel; Vidal-Abarca, Eduardo – Journal of Computer Assisted Learning, 2021
Elaborative feedback (EF) containing explanations on students' responses benefits learning. Computer-based environments provide learners with EF in different ways, for example, on an immediate question-by-question basis or after answering a set of questions. Recent findings also suggest that delaying EF enhances learning. However, it is unclear to…
Descriptors: Secondary School Students, Computer Assisted Testing, Multiple Choice Tests, Feedback (Response)
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Saha, Sujan Kumar – Smart Learning Environments, 2021
In this paper, we present a system for automatic evaluation of the quality of a question paper. Question paper plays a major role in educational assessment. The quality of a question paper is crucial to fulfilling the purpose of the assessment. In many education sectors, question papers are prepared manually. A prior analysis of a question paper…
Descriptors: Foreign Countries, Graduate Students, Writing Assignments, Writing Evaluation
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