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Shen, Jing; Wu, Jingwei – Journal of Speech, Language, and Hearing Research, 2022
Purpose: This study examined the performance difference between remote and in-laboratory test modalities with a speech recognition in noise task in older and younger adults. Method: Four groups of participants (younger remote, younger in-laboratory, older remote, and older in-laboratory) were tested on a speech recognition in noise protocol with…
Descriptors: Age Differences, Test Format, Computer Assisted Testing, Auditory Perception
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Iqbal, Asif; Khalid, Muhammad Naveed; Shafiq, Farah – Pakistan Journal of Distance and Online Learning, 2022
The modern era is the miracle of science and technology using information and communication in every walk of life. ICT has become the basic need of humanity. The current study explored the students' perceptions of online evaluation and assessment. In addition, it was intended to investigate the relationship of different indicators of students'…
Descriptors: Student Attitudes, Computer Assisted Testing, Student Motivation, Electronic Learning
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Choi, Yun Deok – Language Testing in Asia, 2022
A much-debated question in the L2 assessment field is if computer familiarity should be considered a potential source of construct-irrelevant variance in computer-based writing (CBW) tests. This study aims to make a partial validity argument for an online source-based writing test (OSWT) designed for English placement testing (EPT), focusing on…
Descriptors: Test Validity, Scores, Computer Assisted Testing, English (Second Language)
Green, Clare; Hughes, Sarah – Cambridge University Press & Assessment, 2022
The Digital High Stakes Assessment Programme in Cambridge University Press & Assessment is developing digital assessments for UK and global teachers and learners. In one development, the team are making decisions about the assessment models to use to assess computing systems knowledge and understanding. This research took place as part of the…
Descriptors: Test Items, Computer Science, Achievement Tests, Objective Tests
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Langerbein, Janine; Massing, Till; Klenke, Jens; Striewe, Michael; Goedicke, Michael; Hanck, Christoph – International Educational Data Mining Society, 2023
Due to the precautionary measures during the COVID-19 pandemic many universities offered unproctored take-home exams. We propose methods to detect potential collusion between students and apply our approach on event log data from take-home exams during the pandemic. We find groups of students with suspiciously similar exams. In addition, we…
Descriptors: Information Retrieval, Pattern Recognition, Data Analysis, Information Technology
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Plak, Simone; van Klaveren, Chris; Cornelisz, Ilja – British Journal of Educational Technology, 2023
Participation in educational activities is an important prerequisite for academic success, yet often proves to be particularly challenging in digital settings. Therefore, this study set out to increase participation in an online proctored formative statistics exam by digital nudging. We exploited targeted nudges based on the Fogg Behaviour Model,…
Descriptors: Learner Engagement, Technology Uses in Education, Cues, Student Motivation
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Ifenthaler, Dirk; Sahin, Muhittin – Interactive Technology and Smart Education, 2023
Purpose: This study aims to focus on providing a computerized classification testing (CCT) system that can easily be embedded as a self-assessment feature into the existing legacy environment of a higher education institution, empowering students with self-assessments to monitor their learning progress and following strict data protection…
Descriptors: College Students, Classification, Self Evaluation (Individuals), Progress Monitoring
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Kiyak, Yavuz Selim; Budakoglu, Isil Irem; Bakan Kalaycioglu, Dilara; Kula, Serdar; Coskun, Özlem – Innovations in Education and Teaching International, 2023
The prominent method to teach clinical reasoning in preclinical years is case-based discussions. It necessitates hours of sessions. A randomised-controlled study has been conducted to determine whether preclinical students can develop illness scripts only by taking online formative testlets. A pre-test-post-test randomised-controlled design has…
Descriptors: Premedical Students, Thinking Skills, Skill Development, Clinical Experience
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Haug, Tobias; Mann, Wolfgang; Holzknecht, Franz – Sign Language Studies, 2023
This study is a follow-up to previous research conducted in 2012 on computer-assisted language testing (CALT) that applied a survey approach to investigate the use of technology in sign language testing worldwide. The goal of the current study was to replicate the 2012 study and to obtain updated information on the use of technology in sign…
Descriptors: Computer Assisted Testing, Sign Language, Natural Language Processing, Language Tests
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Gruss, Richard; Clemons, Josh – Journal of Computer Assisted Learning, 2023
Background: The sudden growth in online instruction due to COVID-19 restrictions has given renewed urgency to questions about remote learning that have remained unresolved. Web-based assessment software provides instructors an array of options for varying testing parameters, but the pedagogical impacts of some of these variations has yet to be…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Mathematics Tests
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Caspari-Sadeghi, Sima – Journal of Educational Technology Systems, 2023
Intelligent assessment, the core of any AI-based educational technology, is defined as embedded, stealth and ubiquitous assessment which uses intelligent techniques to diagnose the current cognitive level, monitor dynamic progress, predict success and update students' profiling continuously. It also uses various technologies, such as learning…
Descriptors: Artificial Intelligence, Educational Technology, Computer Assisted Testing, Barriers
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Lin, Yin; Brown, Anna; Williams, Paul – Educational and Psychological Measurement, 2023
Several forced-choice (FC) computerized adaptive tests (CATs) have emerged in the field of organizational psychology, all of them employing ideal-point items. However, despite most items developed historically follow dominance response models, research on FC CAT using dominance items is limited. Existing research is heavily dominated by…
Descriptors: Measurement Techniques, Computer Assisted Testing, Adaptive Testing, Industrial Psychology
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Biccard, Piera; Mudau, Patience Kelebogile; van den Berg, Geesje – Journal of Learning for Development, 2023
This article explores student perceptions of writing online examinations for the first time during the COVID-19 pandemic. Prior to the pandemic, examinations at an open and distance learning institution in South Africa were conducted as venue-based examinations. From March 2020, all examinations were moved online. Online examinations were…
Descriptors: Foreign Countries, Student Attitudes, Computer Assisted Testing, COVID-19
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Botelho, Anthony; Baral, Sami; Erickson, John A.; Benachamardi, Priyanka; Heffernan, Neil T. – Journal of Computer Assisted Learning, 2023
Background: Teachers often rely on the use of open-ended questions to assess students' conceptual understanding of assigned content. Particularly in the context of mathematics; teachers use these types of questions to gain insight into the processes and strategies adopted by students in solving mathematical problems beyond what is possible through…
Descriptors: Natural Language Processing, Artificial Intelligence, Computer Assisted Testing, Mathematics Tests
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Süleyman Demir; Derya Çobanoglu Aktan; Nese Güler – International Journal of Assessment Tools in Education, 2023
This study has two main purposes. Firstly, to compare the different item selection methods and stopping rules used in Computerized Adaptive Testing (CAT) applications with simulative data generated based on the item parameters of the Vocational Maturity Scale. Secondly, to test the validity of CAT application scores. For the first purpose,…
Descriptors: Computer Assisted Testing, Adaptive Testing, Vocational Maturity, Measures (Individuals)
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