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Nikola Ebenbeck; Markus Gebhardt – Journal of Special Education Technology, 2024
Technologies that enable individualization for students have significant potential in special education. Computerized Adaptive Testing (CAT) refers to digital assessments that automatically adjust their difficulty level based on students' abilities, allowing for personalized, efficient, and accurate measurement. This article examines whether CAT…
Descriptors: Computer Assisted Testing, Students with Disabilities, Special Education, Grade 3
Rizki Zakwandi; Edi Istiyono; Wipsar Sunu Brams Dwandaru – Education and Information Technologies, 2024
Computational Thinking (CT) skill was a part of the global framework of reference on Digital Literacy for Indicator 4.4.2, widely developed in mathematics and science learning. This study aimed to promote an assessment tool using a two-tier Computerized Adaptive Test (CAT). The study used the Design and Development Research (DDR) method with four…
Descriptors: Computer Assisted Testing, Adaptive Testing, Student Evaluation, Computation
Jingyuan Chen; Hongfeng Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
This meta-analysis examines the influence of smart classrooms on students' learning outcome, synthesizing findings from 21 empirical studies. The results indicate a significant overall effect size (SMD = 1.10), suggesting that smart classrooms positively affect learning outcomes more than traditional settings. Cognitive development (SMD = 1.014)…
Descriptors: Computer Uses in Education, Computer Assisted Instruction, Computer Assisted Testing, Influence of Technology
Ethan R. Van Norman; Emily R. Forcht – Assessment for Effective Intervention, 2024
Curriculum-based measurement of reading (CBM-R) is a common assessment educators use to monitor student growth in broad reading skills and evaluate the effectiveness of instructional programs. Computer-adaptive tests (CATs), such as Star Reading, have been cited as a viable option to formatively assess reading growth. We used Bayesian…
Descriptors: Reading Improvement, Reading Skills, Reading Achievement, Curriculum Based Assessment
Bronwen Cowie – New Zealand Journal of Educational Studies, 2024
Assessment makes visible what we value and reciprocally what is assessed tends to become what is taken to be of value. Building on this, it can be argued that assessment does more than measure what is present rather it 'makes up' people. This piece offers a reflective commentary some of the insights to be gained from the Research Analysis and…
Descriptors: National Standards, Student Attitudes, Teacher Attitudes, Parent Attitudes
Esra Pinar Uça Günes; Nuray Gedik; Mehmet Ali Isikoglu; Baris Yigit; Ihsan Günes; Ayfer Beylik – Open Praxis, 2024
The primary objective of this manuscript is to examine the online assessment and exam security procedures during the pandemic, with a particular focus on higher education. In this context, the study investigates the measures employed by instructors, the challenges they encountered, and the strategies they employed to overcome these challenges in a…
Descriptors: Tests, Distance Education, Supervision, COVID-19
Reza Taherkhani; Saba Aref – Journal of Academic Ethics, 2024
The current study aimed to explore effective strategies for preventing cheating in online examinations by surveying students to determine their cheating strategies. A total of 406 Iranian students at BA, MA, and PhD levels in four programs, including English language teaching, English literature, Linguistics, and English language translation,…
Descriptors: Cheating, Computer Assisted Testing, Educational Strategies, English (Second Language)
Cassondra M. Eng; Aria Tsegai-Moore; Anna V. Fisher – Grantee Submission, 2024
Computerized assessments and digital games have become more prevalent in childhood, necessitating a systematic investigation of the effects of gamified executive function assessments on performance and engagement. This study examined the feasibility of incorporating gamification and a machine learning algorithm that adapts task difficulty to…
Descriptors: Preschool Children, Preschool Curriculum, Preschool Education, Preschool Tests
On-Soon Lee – Journal of Pan-Pacific Association of Applied Linguistics, 2024
Despite the increasing interest in using AI tools as assistant agents in instructional settings, the effectiveness of ChatGPT, the generative pretrained AI, for evaluating the accuracy of second language (L2) writing has been largely unexplored in formative assessment. Therefore, the current study aims to examine how ChatGPT, as an evaluator,…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
Addison Davis – English in Texas, 2024
As a teacher in the San Antonio Independent School District, Addison Davis encountered a significant challenge--maintaining student engagement during the last periods of the school day. These periods often felt like a battle between his students' growing restlessness and his efforts to keep them focused on the content. Initially, he relied heavily…
Descriptors: Teaching Methods, Preferences, English Instruction, Handwriting
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
The Effect of Item Pools of Different Strengths on the Test Results of Computerized-Adaptive Testing
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
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
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
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