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Yigiter, Mahmut Sami; Dogan, Nuri – Measurement: Interdisciplinary Research and Perspectives, 2023
In recent years, Computerized Multistage Testing (MST), with their versatile benefits, have found themselves a wide application in large scale assessments and have increased their popularity. The fact that forms can be made ready before the exam application, such as a linear test, and that they can be adapted according to the test taker's ability…
Descriptors: Programming Languages, Monte Carlo Methods, Computer Assisted Testing, Test Format
Lim, Hwanggyu; Choe, Edison M. – Journal of Educational Measurement, 2023
The residual differential item functioning (RDIF) detection framework was developed recently under a linear testing context. To explore the potential application of this framework to computerized adaptive testing (CAT), the present study investigated the utility of the RDIF[subscript R] statistic both as an index for detecting uniform DIF of…
Descriptors: Test Items, Computer Assisted Testing, Item Response Theory, Adaptive Testing
Falcão, Filipe; Pereira, Daniela Marques; Gonçalves, Nuno; De Champlain, Andre; Costa, Patrício; Pêgo, José Miguel – Advances in Health Sciences Education, 2023
Automatic Item Generation (AIG) refers to the process of using cognitive models to generate test items using computer modules. It is a new but rapidly evolving research area where cognitive and psychometric theory are combined into digital framework. However, assessment of the item quality, usability and validity of AIG relative to traditional…
Descriptors: Computer Assisted Testing, Test Construction, Test Items, Automation
Samira Syal; Marcia Davis; Xiaodong Zhang; Jason Schoeneberger; Samantha Spinney; Douglas J. Mac Iver; Martha Mac Iver – Grantee Submission, 2023
Motivation to read is crucial to improving reading skill. While there is extensive research examining reading motivation among elementary students, with respect to adolescents, research is limited. Employing a person-centered approach can aid in developing a better understanding of adolescent reading motivation and would help address possible…
Descriptors: Reading Motivation, Adolescents, Reading Achievement, High School Students
Brittland K. DeKorver; Mitchell Krahulik; Deborah G. Herrington – Journal of Chemical Education, 2023
The COVID-19 pandemic confronted chemistry instructors worldwide with many new challenges as they were quickly required to make the shift to remote instruction. One of these challenges was administering assessments in an online format. This was the topic of many discussions in the online support group Strategies for Teaching Chemistry (SFTC). This…
Descriptors: Chemistry, Science Teachers, Teacher Attitudes, COVID-19
Jiang, Zhuhan; Huang, Jiansheng – IEEE Transactions on Learning Technologies, 2022
Advanced digital technologies and social media have greatly improved both the learning experience and the assessment convenience, while inadvertently facilitated potential plagiarism and collaborative cheating at the same time. In this article, we will focus on the strategies and their technological implementations to run exams, or in-class tests…
Descriptors: Plagiarism, Educational Technology, Computer Assisted Testing, Cheating
Ince Araci, F. Gul; Tan, Seref – International Journal of Assessment Tools in Education, 2022
Computerized Adaptive Testing (CAT) is a beneficial test technique that decreases the number of items that need to be administered by taking items in accordance with individuals' own ability levels. After the CAT applications were constructed based on the unidimensional Item Response Theory (IRT), Multidimensional CAT (MCAT) applications have…
Descriptors: Adaptive Testing, Computer Assisted Testing, Simulation, Item Response Theory
El Asame, Maryam; Wakrim, Mohamed; Battou, Amal – Education and Information Technologies, 2022
E-Assessment, which is a key element in the instructional design process, plays a major role in supporting and enhancing learning. However, the current e-assessment design does not achieve the desired pedagogical objectives in the e-learning environments. In this paper, we propose a hybrid pedagogical framework for e-learning environments, that…
Descriptors: Computer Assisted Testing, Student Evaluation, Teaching Methods, Instructional Design
Singh, Sneha; Kumar, Amit; Arya, Aditya – Biochemistry and Molecular Biology Education, 2022
The emergence of the global pandemic, SARS-CoV-2 has posed several challenges to education across the globe and led to the emergence and progression of newer methods of teaching and assessment. While online teaching has been quickly adopted and implemented across the globe, exams and assessment remain poorly managed both at an elementary and…
Descriptors: Cheating, Supervision, COVID-19, Pandemics
Koretsky, Milo D.; McColley, Campbell J.; Gugel, James L.; Ekstedt, Thomas W. – Journal of Engineering Education, 2022
Background: Authentic assessment and two-stage exams have recently received attention; however, they are rarely used together. We reimagine assessment by integrating an authentic, computer-based assessment into the structure of a two-stage exam in a large engineering class. Purpose: We seek to identify ways that such assessment extends classroom…
Descriptors: Performance Based Assessment, Alignment (Education), Engineering Education, Computer Assisted Testing
St-Onge, Christina; Ouellet, Kathleen; Lakhal, Sawsen; Dubé, Tim; Marceau, Mélanie – British Journal of Educational Technology, 2022
The COVID-19 pandemic provoked an urgency for many educators to integrate digital information and communication technologies in their educational practices. We explored how faculty members tackled the task of adapting their assessment practices during the pandemic to identify what is required to sustain and favour future quality development and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Higher Education
Firoozi, Tahereh; Bulut, Okan; Epp, Carrie Demmans; Naeimabadi, Ali; Barbosa, Denilson – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) using neural networks has helped increase the accuracy and efficiency of scoring students' written tasks. Generally, the improved accuracy of neural network approaches has been attributed to the use of modern word embedding techniques. However, which word embedding techniques produce higher accuracy in AES systems…
Descriptors: Computer Assisted Testing, Scoring, Essays, Artificial Intelligence
Chen, Clement; Jones, Keith T.; Lawrence, Mark; Simpson, Jill M. – Quarterly Review of Distance Education, 2022
This article discusses the necessity of using technology for exam proctoring in an era of increasing growth in online course delivery. The article discusses a recent generational trend affecting the rationalization leg of the "fraud triangle" generally used to model the conditions typically present in fraud, then discusses some…
Descriptors: Computer Assisted Testing, Technology Uses in Education, Supervision, Online Courses
Oeding, Jill M. – Quarterly Review of Distance Education, 2022
One of the primary findings from this study is the importance of watching the exam proctoring videos for online, remotely proctored exams. Proctors do not need to be experts in academic dishonesty to detect the misconduct. The key to detecting academic dishonesty is to closely monitor the examinee's eyes, know the eyes' position when the examinee…
Descriptors: Prevention, Identification, Cheating, Ethics
Padli, Padli; Mardela, Romi; Yendrizal, Yendrizal – Cypriot Journal of Educational Sciences, 2022
This study aims to find out the level of students' hitting skills and student responses after using ball-hitting skills. This type of research is a mixed method with an explanatory model. The sampling technique used was purposive sampling with a sample of 30 students who were active and contracted in the cricket courses. Before collecting data,…
Descriptors: Athletics, Psychomotor Skills, Computer Assisted Testing, College Students

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