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Bowles, Ben; Harlow, Iain M.; Meeking, Melissa M.; Kohler, Stefan – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
It is widely accepted that signal-detection mechanisms contribute to item-recognition memory decisions that involve discriminations between targets and lures based on a controlled laboratory study episode. Here, the authors employed mathematical modeling of receiver operating characteristics (ROC) to determine whether and how a signal-detection…
Descriptors: Evidence, Reputation, Recognition (Psychology), Item Response Theory
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Lang, W. Steve – Online Submission, 2008
The INTASC Principles, when used as the basis for developing appropriate measurement instruments to assess teacher dispositions, provide a viable approach to the diagnosis and remediation of skill-related affective performance in teacher candidates and also to meeting NCATE requirements for Standard 1. In this symposium, the development and use of…
Descriptors: Computer Software, Teacher Education Programs, Rating Scales, Measurement
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Basturk, Ramazan – Assessment & Evaluation in Higher Education, 2008
This study investigated the usefulness of the many-facet Rasch model (MFRM) in evaluating the quality of performance related to PowerPoint presentations in higher education. The Rasch Model utilizes item response theory stating that the probability of a correct response to a test item/task depends largely on a single parameter, the ability of the…
Descriptors: Higher Education, Teaching (Occupation), Rating Scales, Program Effectiveness
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Lei, Pui-Wa; Bassiri, Dina; Schulz, E. Matthew – Journal of Applied Measurement, 2003
Compared the performance of four polytomous item response theory (IRT) and three linear models for constructing adjusted grade-point-average (GPA) measures. Studies involving cohorts of 1,255 and 1,796 college students and an additional 1,823 and 1,879 college students. Discusses implications of findings for correlation of grade-based measures and…
Descriptors: College Students, Computer Software, Correlation, Grade Point Average
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Al-A'ali, Mansoor – Educational Technology & Society, 2007
Computer adaptive testing is the study of scoring tests and questions based on assumptions concerning the mathematical relationship between examinees' ability and the examinees' responses. Adaptive student tests, which are based on item response theory (IRT), have many advantages over conventional tests. We use the least square method, a…
Descriptors: Educational Testing, Higher Education, Elementary Secondary Education, Student Evaluation
Samejima, Fumiko – 1994
This paper discusses the competency space approach to diagnosing misconceptions, skill, and knowledge acquisition. In some approaches that combine misconceptions, skill, and knowledge acquisition, the latent ability theta is used more or less as an insignificant element, but in the competency space approach, a multidimensional latent space is…
Descriptors: Cognitive Processes, Cognitive Tests, Computer Software Development, Educational Assessment
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Lilley, M.; Barker, T.; Britton, C. – Computers and Education, 2004
This paper presents ongoing research at the University of Hertfordshire on the use of computer-adaptive tests (CATs) in Higher Education. A software prototype based on Item Response Theory has been developed and is described here. This application was designed to estimate the level of proficiency in English for those students whose first language…
Descriptors: Foreign Countries, Adaptive Testing, Computer Assisted Testing, Computer Software Evaluation