Review of FastTest: A Platform for Adaptive Testing

Sahin, Alper
Hurtado Grooscors, Hector Armando
Juan Gongora-Cortes, Jose
Computerized adaptive tests (CATs) have received wider attention throughout the world in recent years mainly because they provide their users with higher precision in examinee ability estimation with less items by the help of the sound psychometric principals they are based on. The recent attention necessitates the need for platforms on which CATs can be developed, piloted and administered flawlessly. In this article, FastTest, a platform specifically designed to facilitate the development and delivery of CATs, will be reviewed. This review article begins by describing the functionality available in FastTest, with a focus on adaptive testing functionality and related psychometrics. Then, two examples of FastTest being used to develop and deliver CATs-which demonstrate that CAT is feasible for many organizations-will be discussed.


Optimum design of high-speed flexible robotic arms with dynamic behavior constraints
Oral, Süha (1997-10-01)
A methodology is presented for the optimum design of robotic arms under time-dependent stress and displacement constraints by using mathematical programming. Finite elements are used in the modeling of the flexible links. The design variables are the cross-sectional dimensions of the elements. The time dependence of the constraints is removed through the use of equivalent constraints based on the most critical constraints. It is shown that this approach yields a better design than using equivalent constrain...
Comparison of Cognitive Modeling and User Performance Analysis for Touch Screen Mobile Interface Design
Ocak, Nihan; Çağıltay, Kürşat (Informa UK Limited, 2016-12-23)
The aim of this study is to analyze and comparatively evaluate the usability of touch screen mobile applications through cognitive modeling and end-user usability testing methodologies. The study investigates the accuracy of the estimated results of a cognitive model produced for touch screen mobile phone interfaces. A mobile wallet application was chosen as the mobile software. The CogTool modeling tool was used as the cognitive modeling method. Eight tasks were determined and user tests were conducted in ...
Important factors in mobile robot user interface design
Sekmen, A; Goldman, S; Koku, Ahmet Buğra; Zein-Sabatto, S; Wilkes, M (2001-07-25)
In this study, four factors are considered to be important in the interactions between a mobile robot and a human. These factors are robot location, user's prior knowledge about the robot's environment, spatial reasoning ability of the user, and user interfaces. The first objective of this study is to determine if providing a user interface component showing the relative position of the robot with respect to the user results in any improvement. The second objective is to have an overall evaluation of the us...
Development of a three-tier test to assess ninth grade students' misconceptions about simple electric circuits
Peşman, Haki; Eryılmaz, Ali; Department of Secondary Science and Mathematics Education (2005)
The main purpose of this study was to develop a three-tier test for assessing ninth-grade students̕ misconceptions about simple electric circuits. The first tier of an item on the test presents an ordinary multiple choice question, the second tier presents a set of reasons for the response given to the first tier, and the third tier questions if examinees are confident for their responses to the first two tiers. The study was carried in Polatlı, the biggest outlying district of capital Ankara. In the light ...
Comparison of deep networks for gesture recognition
Sofu, Buğra; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2021-9-06)
Gesture recognition is an important problem and has been studied over the years especially in the fields such as surveillance systems, analysis of human behavior, robotics etc. In this thesis, different state of art algorithms, which are based on deep learning, were implemented and compared considering model complexities and accuracies. Also, a new approach was proposed and compared with them. Tested algorithms can be classified into two main categories: hybrid approaches, which use CNN and LSTM architectu...
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