scholarly journals L0 Regularized Stationary Time Estimation for Crowd Group Analysis

2014 ◽  
Author(s):  
Shuai Yi ◽  
Xiaogang Wang ◽  
Cewu Lu ◽  
Jiaya Jia
Keyword(s):  
Group Analysis ◽  
Time Estimation ◽  
Stationary Time

$L_0$ Regularized Stationary-Time Estimation for Crowd Analysis

2017 ◽  
Vol 39 (5) ◽  
pp. 981-994 ◽  
Author(s):  
Shuai Yi ◽  
Xiaogang Wang ◽  
Cewu Lu ◽  
Jiaya Jia ◽  
Hongsheng Li
Keyword(s):  
Time Estimation ◽  
Crowd Analysis ◽  
Stationary Time

Validating the Resource-Management Inventory (ReMI)

2020 ◽  
Vol 36 (5) ◽  
pp. 777-786 ◽  
Author(s):  
Julia Waldeyer ◽  
Jens Fleischer ◽  
Joachim Wirth ◽  
Detlev Leutner
Keyword(s):  
Higher Education ◽  
Academic Achievement ◽  
Resource Management ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Management Strategies ◽  
Group Analysis ◽  
Management Skills ◽  
First Year Students ◽  
Management Competency

Abstract. There is substantial evidence that students in higher education who have sophisticated resource-management skills are more successful in their studies. Nevertheless, research shows that students are often not adequately prepared to use resource-management strategies effectively. It is thus crucial to screen and identify students who are at risk of poor resource management (and consequently, reduced academic achievement) to provide them with appropriate support. For this purpose, we extend the validation of a situational-judgment-based instrument called Resource-Management Inventory (ReMI), which assesses resource-management competency (including knowledge of resource-management strategies and the self-reported ability to use this knowledge in learning situations). We evaluated the ReMI regarding factor structure, measurement invariance, and its impact on academic achievement in different study domains in a sample of German first-year students ( N = 380). The results confirm the five-factor structure that has been found in a previous study and indicate strong measurement invariance. Furthermore, taking cognitive covariates into account, the results confirm that the ReMI can predict students’ grades incrementally. Finally, a multi-group analysis shows that the findings can be generalized across different study domains. Overall, we provide evidence for a valid and efficient instrument for the assessment of resource-management competency in higher education.

Temporal Prediction Errors Affect Short-Term Memory Scanning Response Time

2016 ◽  
Vol 63 (6) ◽  
pp. 333-342
Author(s):  
Roberto Limongi ◽  
Angélica M. Silva
Keyword(s):  
Response Time ◽  
Short Term Memory ◽  
Estimation Error ◽  
Predictive Coding ◽  
Time Estimation ◽  
Prediction Errors ◽  
Memory Scanning ◽  
Short Term ◽  
Term Memory ◽  
Temporal Prediction

Abstract. The Sternberg short-term memory scanning task has been used to unveil cognitive operations involved in time perception. Participants produce time intervals during the task, and the researcher explores how task performance affects interval production – where time estimation error is the dependent variable of interest. The perspective of predictive behavior regards time estimation error as a temporal prediction error (PE), an independent variable that controls cognition, behavior, and learning. Based on this perspective, we investigated whether temporal PEs affect short-term memory scanning. Participants performed temporal predictions while they maintained information in memory. Model inference revealed that PEs affected memory scanning response time independently of the memory-set size effect. We discuss the results within the context of formal and mechanistic models of short-term memory scanning and predictive coding, a Bayes-based theory of brain function. We state the hypothesis that our finding could be associated with weak frontostriatal connections and weak striatal activity.

The Effect of Attention on Time Estimation in the Pigeon

1999 ◽  
Author(s):  
Jennifer E. Sutton ◽  
William A. Roberts
Keyword(s):  
Time Estimation
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