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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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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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Gustafsson, Martin; Barakat, Bilal Fouad – Comparative Education Review, 2023
International assessments inform education policy debates, yet little is known about their floor effects: To what extent do they fail to differentiate between the lowest performers, and what are the implications of this? TIMSS, SACMEQ, and LLECE data are analyzed to answer this question. In TIMSS, floor effects have been reduced through the…
Descriptors: Achievement Tests, Elementary Secondary Education, International Assessment, Foreign Countries
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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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Mi-Hyun Bang; Young-Min Lee – Education and Information Technologies, 2024
The Human Resources Development Service of Korea developed a digital exam for five representative engineering categories and conducted a pilot study comparing the findings with the paper-and-pencil exam results from the last three years. This study aimed to compare the test efficiency between digital and paper-and-pencil examinations. A digital…
Descriptors: Engineering Education, Computer Assisted Testing, Foreign Countries, Human Resources
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Wim J. van der Linden; Luping Niu; Seung W. Choi – Journal of Educational and Behavioral Statistics, 2024
A test battery with two different levels of adaptation is presented: a within-subtest level for the selection of the items in the subtests and a between-subtest level to move from one subtest to the next. The battery runs on a two-level model consisting of a regular response model for each of the subtests extended with a second level for the joint…
Descriptors: Adaptive Testing, Test Construction, Test Format, Test Reliability
Emma Walland – Research Matters, 2024
GCSE examinations (taken by students aged 16 years in England) are not intended to be speeded (i.e. to be partly a test of how quickly students can answer questions). However, there has been little research exploring this. The aim of this research was to explore the speededness of past GCSE written examinations, using only the data from scored…
Descriptors: Educational Change, Test Items, Item Analysis, Scoring
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Julia Jochim; Vera Kristina Lenz-Kesekamp – Information and Learning Sciences, 2025
Purpose: Large language models such as ChatGPT are a challenge to academic principles, calling into question well-established practices, teaching and exam formats. This study aims to explore the adaptation process regarding text-generative artificial intelligence (AI) of students and teachers in higher education and to identify needs for change.…
Descriptors: Artificial Intelligence, Student Needs, Higher Education, Technology Uses in Education
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Courey, Karyssa A.; Lee, Michael D. – AERA Open, 2021
Student evaluations of teaching are widely used to assess instructors and courses. Using a model-based approach and Bayesian methods, we examine how the direction of the scale, labels on scales, and the number of options affect the ratings. We conduct a within-participants experiment in which respondents evaluate instructors and lectures using…
Descriptors: Student Evaluation of Teacher Performance, Rating Scales, Response Style (Tests), College Students
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Cox, Julie; Martin, Angi – Advances in Special Education, 2021
Assessing learning outcomes for students who are d/Deaf or hard of hearing presents ongoing challenges given the largely verbal nature of classrooms and the presentation of information. Educators should carefully consider several factors when assessing their students who are d/Deaf or hard of hearing. Those factors include, but are not limited to:…
Descriptors: Students with Disabilities, Deafness, Hearing Impairments, Student Evaluation
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Sibic, Okan; Sesen, Burcin Acar – International Journal of Assessment Tools in Education, 2022
One of the main goals of science education is to make students gain science process skills. Thus, it is significant to measure whether students gain those skills or not. For this purpose, various tests have been produced and used in various studies. This study aims to examine science process skills tests which have been used in the theses produced…
Descriptors: Foreign Countries, Science Education, Science Process Skills, Masters Theses
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Alamri, Aeshah; Higham, Philip A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Corrective feedback is often touted as a critical benefit to learning, boosting testing effects when retrieval is poor and reducing negative testing effects. Here, we explore the dark side of corrective feedback. In three experiments, we found that corrective feedback on multiple-choice (MC) practice questions is later endorsed as the answer to…
Descriptors: Feedback (Response), Multiple Choice Tests, Cues, Recall (Psychology)
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Giofrè, D.; Allen, K.; Toffalini, E.; Caviola, S. – Educational Psychology Review, 2022
This meta-analysis reviews 79 studies (N = 46,605) that examined the existence of gender difference on intelligence in school-aged children. To do so, we limited the literature search to works that assessed the construct of intelligence through the Wechsler Intelligence Scales for Children (WISC) batteries, evaluating eventual gender differences…
Descriptors: Gender Differences, Cognitive Processes, Children, Intelligence Tests
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Grajzel, Katalin; Dumas, Denis; Acar, Selcuk – Journal of Creative Behavior, 2022
One of the best-known and most frequently used measures of creative idea generation is the Torrance Test of Creative Thinking (TTCT). The TTCT Verbal, assessing verbal ideation, contains two forms created to be used interchangeably by researchers and practitioners. However, the parallel forms reliability of the two versions of the TTCT Verbal has…
Descriptors: Test Reliability, Creative Thinking, Creativity Tests, Verbal Ability
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