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Showing 1 to 15 of 22 results Save | Export
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Barrett, Michelle D.; Jiang, Bingnan; Feagler, Bridget E. – International Journal of Artificial Intelligence in Education, 2022
The appeal of a shorter testing time makes a computer adaptive testing approach highly desirable for use in multiple assessment and learning contexts. However, for those who have been tasked with designing, configuring, and deploying adaptive tests for operational use at scale, preparing an adaptive test is anything but simple. The process often…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Design Requirements
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Daocheng Hong – Interactive Learning Environments, 2024
The digital transformation of education is greatly accelerating in various computer-supported applications. As a particularly prominent application of the human-machine interactive system, intelligent learning systems aim to capture users' current intentions and provide recommendations through real-time feedback. However, we have a limited…
Descriptors: Feedback (Response), Users (Information), Learner Engagement, Tests
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Jolanta Kisielewska; Paul Millin; Neil Rice; Jose Miguel Pego; Steven Burr; Michal Nowakowski; Thomas Gale – Education and Information Technologies, 2024
Between 2018-2021, eight European medical schools took part in a study to develop a medical knowledge Online Adaptive International Progress Test. Here we discuss participants' self-perception to evaluate the acceptability of adaptive vs non-adaptive testing. Study participants, students from across Europe at all stages of undergraduate medical…
Descriptors: Medical Students, Medical Education, Student Attitudes, Self Efficacy
Hong Jiao, Editor; Robert W. Lissitz, Editor – IAP - Information Age Publishing, Inc., 2024
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…
Descriptors: Artificial Intelligence, Natural Language Processing, Psychometrics, Computer Assisted Testing
Center on Standards and Assessments Implementation, 2019
Computerized adaptive testing (CAT), which was first developed four decades ago, begins with a large pool of questions and then selects individual questions for test takers, depending on their responses as they progress. As the test taker answers questions correctly, the questions become more difficult. As the test taker answers incorrectly, the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Banks, Barriers
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Wu, Huey-Min; Kuo, Bor-Chen; Wang, Su-Chen – Educational Technology & Society, 2017
In this study, a computerized dynamic assessment test with both immediately individualized feedback and adaptively property was applied to Mathematics learning in primary school. For evaluating the effectiveness of the computerized dynamic adaptive test, the performances of three types of remedial instructions were compared by a pre-test/post-test…
Descriptors: Adaptive Testing, Feedback (Response), Elementary School Mathematics, Foreign Countries
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Aviad-Levitzky, Tami; Laufer, Batia; Goldstein, Zahava – Language Assessment Quarterly, 2019
This article describes the development and validation of the new CATSS (Computer Adaptive Test of Size and Strength), which measures vocabulary knowledge in four modalities -- productive recall, receptive recall, productive recognition, and receptive recognition. In the first part of the paper we present the assumptions that underlie the test --…
Descriptors: Foreign Countries, Test Construction, Test Validity, Test Reliability
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Ortner, Tuulia M.; Weisskopf, Eva; Gerstenberg, Friederike X. R. – European Journal of Psychology of Education, 2013
We investigated students' metacognitive experiences with regard to feelings of difficulty (FD), feelings of satisfaction (FS), and estimate of effort (EE), employing either computerized adaptive testing (CAT) or computerized fixed item testing (FIT). In an experimental approach, 174 students in grades 10 to 13 were tested either with a CAT or a…
Descriptors: Adaptive Testing, Feedback (Response), High School Students, Metacognition
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Wang, Chien-hwa; Chen, Cheng-ping – Electronic Journal of e-Learning, 2013
The major concerns of adaptive testing studies have concentrated on effectiveness and efficiency of the system built for the research experiments. It has been criticised that such general information has fallen short of providing qualitative descriptions regarding learning performance. Takahiro Sato of Japan proposed an analytical diagram called…
Descriptors: Foreign Countries, Adaptive Testing, Computer Assisted Testing, Feedback (Response)
Morgan, Deanna L.; Buckendahl, Chad W. – College Board, 2011
[Slides] presented at the annual conference of the National Council on Measurement in Education, 2011, New Orleans.
Descriptors: Cutting Scores, Computer Assisted Testing, Adaptive Testing, Common Core State Standards
Edwards, Virginia B., Ed. – Education Week, 2014
Figuring out how to use digital tools to transform testing requires a willingness to invest in new technologies and the patience to experiment with novel approaches, a commitment to ongoing professional development and reliable technical support, and an openness to learn from mistakes. Whatever bumpy ride this technological journey takes, experts…
Descriptors: Elementary Secondary Education, Technological Advancement, Testing, Computer Assisted Testing
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Weng, Ting-Sheng – Journal of Educational Technology Systems, 2012
This research applies multimedia technology to design a dynamic item generation method that can adaptively adjust the difficulty level of items according to the level of the testee. The method is based on interactive testing software developed by Flash Actionscript, and provides a testing solution for users by automatically distributing items of…
Descriptors: Feedback (Response), Difficulty Level, Educational Technology, Educational Games
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Economides, Anastasios A. – Computers in the Schools, 2009
Feedback is an important educational tool that can support learning and assessment. This article describes types of conative feedback that can support the student's conation, will, volition, or motivation. Any of these types of feedback can be presented to the student before, during, or after an educational activity or a test question.…
Descriptors: Feedback (Response), Computer Assisted Testing, Adaptive Testing, Student Motivation
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Makransky, Guido; Glas, Cees A. W. – International Journal of Testing, 2013
Cognitive ability tests are widely used in organizations around the world because they have high predictive validity in selection contexts. Although these tests typically measure several subdomains, testing is usually carried out for a single subdomain at a time. This can be ineffective when the subdomains assessed are highly correlated. This…
Descriptors: Foreign Countries, Cognitive Ability, Adaptive Testing, Feedback (Response)
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Barker, Trevor – Electronic Journal of e-Learning, 2011
The recent National Students Survey showed that feedback to students was an ongoing problem in Higher Education. This paper reports on the extension of our past research into the provision of automated feedback for objective testing. In the research presented here, the system has been further developed for marking practical and essay questions and…
Descriptors: Feedback (Response), Evaluation, Adaptive Testing, Objective Tests
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