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Wyse, Adam E.; McBride, James R. – Journal of Educational Measurement, 2021
A key consideration when giving any computerized adaptive test (CAT) is how much adaptation is present when the test is used in practice. This study introduces a new framework to measure the amount of adaptation of Rasch-based CATs based on looking at the differences between the selected item locations (Rasch item difficulty parameters) of the…
Descriptors: Item Response Theory, Computer Assisted Testing, Adaptive Testing, Test Items
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Kezer, Fatih – International Journal of Assessment Tools in Education, 2021
Item response theory provides various important advantages for exams carried out or to be carried out digitally. For computerized adaptive tests to be able to make valid and reliable predictions supported by IRT, good quality item pools should be used. This study examines how adaptive test applications vary in item pools which consist of items…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Item Response Theory
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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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Wang, Wenhao; Kingston, Neal M.; Davis, Marcia H.; Tiemann, Gail C.; Tonks, Stephen; Hock, Michael – Educational Measurement: Issues and Practice, 2021
Adaptive tests are more efficient than fixed-length tests through the use of item response theory; adaptive tests also present students questions that are tailored to their proficiency level. Although the adaptive algorithm is straightforward, developing a multidimensional computer adaptive test (MCAT) measure is complex. Evidence-centered design…
Descriptors: Evidence Based Practice, Reading Motivation, Adaptive Testing, Computer Assisted Testing
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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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Dan Song; Alexander F. Tang – Language Learning & Technology, 2025
While many studies have addressed the benefits of technology-assisted L2 writing, limited research has delved into how generative artificial intelligence (GAI) supports students in completing their writing tasks in Mandarin Chinese. In this study, 26 university-level Mandarin Chinese foreign language students completed two writing tasks on two…
Descriptors: Artificial Intelligence, Second Language Learning, Standardized Tests, Writing Tests
Tatjana Voitova; Valdis Bernhofs; Daniel Müllensiefen – Gifted Child Quarterly, 2025
Psychosocial skills are variables related to human behavior, beliefs, and attitudes and shape social interactions, learning processes, academic achievements, and general goal-directed behavior. Psychosocial skills seem particularly important during the adolescent period when large changes in goal setting, learning attitudes, and ability…
Descriptors: Individual Development, Music, Listening Skills, Secondary School Students
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Amy Pallant; Christopher Lore; Hee-Sun Lee; Stephanie Seevers; Trudi Lord – Journal of Geoscience Education, 2025
This paper describes how plate tectonics and rock genesis, two topics that are typically addressed separately in secondary Earth science classes, can be taught together as an integrated system. We define the TecRocks Reasoning Framework, developed to support student reasoning about rock formation situated in the context of plate tectonics. We also…
Descriptors: Secondary School Science, Secondary School Students, Geology, Plate Tectonics
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Pauline Frizelle; Ana Oliveira-Buckley; Tricia Biancone; Jorge Oliveira; Paul Fletcher; Dorothy V. M. Bishop; Cristina McKean – International Journal of Language & Communication Disorders, 2025
Introduction: The present study investigated English-speaking 5-9 year olds' (n = 600, normative sample) comprehension of relative, adverbial and complement clauses using the Test of Complex Syntax-Electronic (TECS-E), an online interactive assessment. with strong test-retest reliability, concurrent validity and internal consistency. Method: Using…
Descriptors: Syntax, Child Language, Young Children, Language Tests
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Castellano, Katherine E.; Mikeska, Jamie N.; Moon, Jung Aa; Holtzman, Steven; Gao, Jie; Jiang, Yang – Journal of Science Education and Technology, 2022
Preservice elementary teachers (PSTs) prepare for various standardized assessments, such as the Praxis® licensure assessment. However, there is little research on test-taking behavior and test-taking strategies for this examinee population. A common belief and instruction given in some test preparation materials is that examinees should stick to…
Descriptors: Preservice Teachers, Elementary School Teachers, Test Wiseness, Student Behavior
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Fuchimoto, Kazuma; Ishii, Takatoshi; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2022
Educational assessments often require uniform test forms, for which each test form has equivalent measurement accuracy but with a different set of items. For uniform test assembly, an important issue is the increase of the number of assembled uniform tests. Although many automatic uniform test assembly methods exist, the maximum clique algorithm…
Descriptors: Simulation, Efficiency, Test Items, Educational Assessment
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Hsu, Hao-Hsuan; Huang, Nen-Fu – IEEE Transactions on Learning Technologies, 2022
This article introduces Xiao-Shih, the first intelligent question answering bot on Chinese-based massive open online courses (MOOCs). Question answering is critical for solving individual problems. However, instructors on MOOCs must respond to many questions, and learners must wait a long time for answers. To address this issue, Xiao-Shih…
Descriptors: Foreign Countries, Artificial Intelligence, Online Courses, Natural Language Processing
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