Turn-taking behaviour is simulated in a coupled agents system. Each agent is modelled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outputs and to hold the internal dynamics. Agents are developed to take turns on a two-dimensional arena by causing the network structures to evolve. Turn-taking is established using either regular or chaotic behaviour o...

Although there is a growing applicant reactions literature, relatively little work has addressed the role of personality in applicant perceptions. Using a sample of actual law enforcement applicants (N5120), we studied the relationship between Big Five personality measured before a written test and applicants’ post-test fairness perceptions, perceptions of themselves, and perceptions of the hir...

Objective. This research explores the seldom-addressed question of whether teacherstudent racial congruence conditions the impact of teacher perceptions on performance. Methods. Multipopulation LISREL models (utilizing data from the NELS) compare the effect of white teachers’ perceptions on African-American standardized test performance to the corresponding effect among white students. Parallel...

Foreign language learners typically experience considerable anxiety about taking listening tests. This study investigated how four forms of listening support (pre-teaching of content and vocabulary, question preview, and repeated input) affect the anxiety levels of college students in Taiwan taking a multiple-choice achievement test, which counts for their final grade in a required listening co...

This sequential mixed-methods study investigates washback on learning in a high-stakes school exit examination by examining learner perceptions and reported behaviours relation to learners’ beliefs language experience, the role of other stakeholders mechanism, socio-educational forces. The focus is graded approach Hong Kong Diploma Secondary Education English Language Examination (HKDSE-English...

Turn-taking behavior is simulated in a coupled-agents system. Each agent is modeled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outputs and to hold the internal dynamics. Agents are developed to take turns on a two-dimensional arena by causing the network structures to evolve. Turn taking is established using either regular or chaotic behavior of t...

Conventionally, the questions on a test are assumed to be kept secret from test takers until the test. However, for tests that are taken on a large scale, particularly asynchronously, this is very hard to achieve. For example, example TOEFL iBT and driver’s license test questions are easily found online. This also appears likely to become an issue for Massive Open Online Courses (MOOCs). In thi...

PURPOSE The objective of this study is to examine risk taking and risk perception associations with perceived exertion, pacing, and performance in athletes. METHODS Two experiments were conducted in which risk perception was assessed using the domain-specific risk taking (DOSPERT) scale in 20 novice cyclists (experiment 1) and 32 experienced ultramarathon runners (experiment 2). In experiment...

We introduce the organization of the Todai Robot Project and discuss its achievements. The Todai Robot Project task focuses on benchmarking NLP systems for problem solving. This task encourages NLP-based systems to solve real high-school examinations. We describe the details of the method to manage question resources and their correct answers, answering tools and participation by researchers in...

This study exploits statistical redundancy inherent in natural language to automatically predict scores for essays. We use a hybrid feature identification method, including syntactic structure analysis, rhetorical structure analysis, and topical analysis, to score essay responses from test-takers of the Graduate Management Admissions Test (GMAT) and the Test of Written English (TWE). For each e...