Results 11 to 20 of about 16,732,514 (287)

Speed-Accuracy Tradeoff-based Deep Cognitive Diagnostic Model [PDF]

Jisuanji kexue
In intelligent education,cognitive diagnosis analyzes students' learning behavior data to understand their cognitive state.Existing cognitive diagnostic models based on deep learning methods assume by default that students have enough reaction time to ...
CHENG Yan, ZHOU Ziwei, MA Mingyu, LIN Qinglong, ZHAN Yongxin, WAN Lingfeng
doaj   +2 more sources

Identifying functional cognitive disorder: a proposed diagnostic risk model [PDF]

CNS Spectrums, 2021
AbstractBackgroundFunctional cognitive disorders (FCD) are an important differential diagnosis of neurodegenerative disease. The utility of suggested diagnostic features has not been prospectively explored in “real world” clinical populations. This study aimed to identify positive clinical markers of FCD.MethodsAdults with cognitive complaints but not ...
Laura McWhirter, Craig Ritchie, Jon Stone, Alan Carson   +3 more
openaire   +4 more sources

Cognitive control in the generation of random sequences: a computational study of secondary task effects [PDF]

, 2011
Cognitive control processes, such as those involved in response inhibition or task switching, have been the focus of much recent research. Few studies, however, have considered how such processes work together in tasks that require multiple control ...
Cooper, Richard P.
core   +7 more sources

Risk Factors and Diagnostic Model Construction of Chronic Pain with Cognitive Impairment [PDF]

Journal of Pain Research
Changteng Zhang,1,2,* Ying Su,1,2,* Xianzheng Zeng,3 Xiaoyu Zhu,1,2 Rui Gao,1,2 Wangyang Liu,1,2 Runzi Du,1,2 Chan Chen,1,2 Jin Liu1,2 1Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China ...
Zhang C, Su Y, Zeng X, Zhu X, Gao R, Liu W, Du R, Chen C, Liu J   +8 more
doaj   +1 more source

Cognitive Diagnostic Models for Rater Effects [PDF]

Frontiers in Psychology, 2020
In recent decades, cognitive diagnostic models (CDMs) have been intensively researched and applied to various educational and psychological tests. However, because existing CDMs fail to consider rater effects, the application of CDMs to constructed-response (CR) items that involve human raters is seriously limited.
Xiaomin Li, Wen-Chung Wang, Qin Xie
openaire   +3 more sources

Posterior Predictive Model Checks in Cognitive Diagnostic Models [PDF]

, 2015
Cognitive diagnostic models (CDMs; DiBello, Roussos, & Stout, 2007) have received increasing attention in educational measurement for the purpose of diagnosing strengths and weaknesses of examinees’ latent attributes. And yet, despite the current popularity of a number of diagnostic models, research seeking to assess model-data fit has been limited.
Park, Jung Yeon
openaire   +3 more sources

Cognitive Diagnostic Models for Random Guessing Behaviors [PDF]

Frontiers in Psychology, 2020
Many test-takers do not carefully answer every test question; instead they sometimes quickly answer without thoughtful consideration (rapid guessing, RG). Researchers have not modeled RG when assessing student learning with cognitive diagnostic models (CDMs) to personalize feedback on a set of fine-grained skills (or attributes).
Chia-Ling Hsu, Kuan-Yu Jin, Ming Ming Chiu   +2 more
openaire   +3 more sources

Cognitive diagnostic assessment of EFL learners’ listening barriers through incorrect responses

Frontiers in Psychology, 2023
English as Foreign Language (EFL) learners’ cognitive processes have been a research focus in listening assessment. Most studies use correct responses as data, but undervalue the rich information of the incorrect answers or options (in the case of ...
Yaru Meng, Ya Wang, Ningning Zhao
doaj   +1 more source

Measuring students’ learning progressions in energy using cognitive diagnostic models

Frontiers in Psychology, 2022
This study applied cognitive diagnostic models to assess students’ learning progressions in energy. A Q-matrix (i.e., an item attribute alignment table) was proposed based on existing literature about learning progressions of energy in the physical ...
Shuqi Zhou, Anne Traynor
doaj   +1 more source

An Improved Parameter-Estimating Method in Bayesian Networks Applied for Cognitive Diagnosis Assessment

Frontiers in Psychology, 2021
Bayesian networks (BNs) can be employed to cognitive diagnostic assessment (CDA). Most of the existing researches on the BNs for CDA utilized the MCMC algorithm to estimate parameters of BNs. When EM algorithm and gradient descending (GD) learning method
Ling Ling Wang, Ling Ling Wang, Tao Xin, Liu Yanlou   +3 more
doaj   +1 more source