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Yilmaz, Erdi Okan; Toker, Türker – International Journal of Psychology and Educational Studies, 2022
This study examines the online assessment-evaluation activities in distance education processes. The effects of different online exam application styles considering the online assessment-evaluation in distance education processes, including all programs of a higher education institution, were documented. The population for online…
Descriptors: Foreign Countries, Computer Assisted Testing, Test Format, Distance Education
Lim, Kieran Fergus – Physics Education, 2022
Undergraduate first-year courses are often mandatory for students in a variety of majors and degrees. Many students view these core courses as of little interest and relevance, which is associated with lack of motivation for study and can lead to cheating. Contract cheating in text-based is difficult to detect and prove. Contract cheating in…
Descriptors: College Freshmen, Contracts, Cheating, Assignments
Liou, Gloria; Bonner, Cavan V.; Tay, Louis – International Journal of Testing, 2022
With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether score inferences of human attributes are…
Descriptors: Psychometrics, Computer Assisted Testing, Adaptive Testing, Data
Makokotlela, Matlala Violet – International Journal of Information and Communication Technology Education, 2022
The discourse around online summative assessment has become one of the major issues in open distance learning (ODL) worldwide. There is a lack of major research in online summative assessment in environmental education (EE) module for the bachelor of education (B.Ed.) students in ODL. The purpose of this study was to explore online summative…
Descriptors: Distance Education, Summative Evaluation, Foreign Countries, Environmental Education
Becker, Kirk A.; Kao, Shu-chuan – Journal of Applied Testing Technology, 2022
Natural Language Processing (NLP) offers methods for understanding and quantifying the similarity between written documents. Within the testing industry these methods have been used for automatic item generation, automated scoring of text and speech, modeling item characteristics, automatic question answering, machine translation, and automated…
Descriptors: Item Banks, Natural Language Processing, Computer Assisted Testing, Scoring
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
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
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
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
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
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
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
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
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