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Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu
2019 Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19  
To this end, in this paper, we propose a general Deep Item Response Theory (DIRT) framework to enhance traditional IRT for cognitive diagnosis by exploiting semantic representation from question texts  ...  Item Response Theory (IRT) is a classical cognitive diagnosis method which can provide interpretable parameters (i.e., student latent trait, question discrimination, and difficulty) for analyzing student  ...  module, to enhance traditional IRT with deep learning for cognitive diagnosis.  ... 
doi:10.1145/3357384.3358070 dblp:conf/cikm/ChengLCHHCMH19 fatcat:ayngrj4qizajnjv2g3lyduz2hq

Multiple Features Fusion Attention Mechanism Enhanced Deep Knowledge Tracing for Student Performance Prediction

Dong Liu, Yunping Zhang, Jun Zhang, Qinpeng Li, Congpin Zhang, Yu Yin
2020 IEEE Access  
Student performance prediction is a fundamental task in online learning systems, which aims to provide students with access to active learning.  ...  Then, a fusion attention mechanism based on recurrent neural network architecture is used for student performance prediction.  ...  Thus, enhancing item response theory for cognitive diagnosis (DIRT) enhances the process of diagnosing parameters by exploring the exercises' text using deep learning techniques [14] .  ... 
doi:10.1109/access.2020.3033200 fatcat:oyov7avxjnaktksdc36bg2cgxy

AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement [article]

Byungsoo Kim, Hongseok Suh, Jaewe Heo, Youngduck Choi
2020 arXiv   pre-print
In this paper, we explore AI-driven design for the interface of ITS describing diagnostic feedback for students' problem-solving process and investigate its impacts on their engagement.  ...  students' interest in learning, motivation and engagement by making better use of AI features.  ...  DIRT incorporates neural networks to compute parameters of Item Response Theory (IRT) model.  ... 
arXiv:2009.08976v1 fatcat:g5kktljwynernftp4reyczienm

Modeling Item Response Theory with Stochastic Variational Inference [article]

Mike Wu, Richard L. Davis, Benjamin W. Domingue, Chris Piech, Noah Goodman
2021 arXiv   pre-print
Item Response Theory (IRT) is a ubiquitous model for understanding human behaviors and attitudes based on their responses to questions.  ...  Using this new inference approach we then generalize IRT with expressive Bayesian models of responses, leveraging recent advances in deep learning to capture nonlinear item characteristic curves (ICC)  ...  DIRT: Deep learning enhanced item response theory for cognitive diagnosis. Proceedings of the 28th ACM International Conference on Information and Knowledge Management. 2019.  ... 
arXiv:2108.11579v1 fatcat:5lfvij42fvhgfmqpf36te5hys4

Dirt management: cleanliness, hygiene, and childcare in the United States

Tsai-Yen Han
distribution, reinforcement, and negotiation of the meanings of clean and dirty under the contested hygiene discourses created by the entrance of the hygiene hypothesis in a field long dominated by the germ theory  ...  The state preschool teaching and learning standards further itemize the expected hygiene norms and proper hygiene habits for young children as follows: Preschool Learning Outcomes Children will: 2.1.1  ...  The 19 th Century to the 20 th Century: The Rise of Germ Theory In the 19 th century, germ theory overtook miasma theory, leading to a new conceptualization of dirt, perceptions of cleanliness, and discourses  ... 
doi:10.7282/t3-p14r-0t51 fatcat:l5v5wgwkenfexf3yze27ub36c4

Two dogmas of conceptual empiricism: implications for hybrid models of the structure of knowledge

Frank C Keil, W Carter Smith, Daniel J Simons, Daniel T Levin
1998 Cognition  
Dogma 2: Children initially have only a similaritybased component for learning concepts; the explanatory component develops on the foundation of this earlier component.  ...  Here we consider two assumptions, or dogmas, that embody this controversy and underlie much of the current cognitive science research on concepts.  ...  Many thanks to Bethany Richman for helping to design the study and for collecting all of the data.  ... 
doi:10.1016/s0010-0277(97)00041-3 pmid:9557380 fatcat:xe6wramwkzg4vgnjmj5bmxhut4

Metacognitive monitoring and dementia: How intrinsic and extrinsic cues influence judgments of learning in people with early-stage Alzheimer's disease

Ayanna K. Thomas, Meeyeon Lee, David A. Balota
2013 Neuropsychology  
Method: In three experiments we examined the influence of intrinsic and extrinsic cues on Judgment of Learning (JOL) accuracy.  ...  Conclusions: We conclude that while certain aspects of metacognition may be impaired in both the normal and demented older populations, these groups remain able to use theory-based processing, or general  ...  Specifically, we examine how both normal and pathological cognitive aging affects the accuracy of Judgments of Learning (JOL).  ... 
doi:10.1037/a0033050 pmid:23876118 pmcid:PMC4006849 fatcat:riicr5qydvccfd4yyhbtyiyizi

Digging in the Dirt: Extracting Keyphrases from Texts with KD [chapter]

Giovanni Moretti, Rachele Sprugnoli, Sara Tonelli
Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015  
I also thank Roberto Cappuccio for technical support on many occasions. Finally I thank three anonymous reviewers for their useful comments.  ...  Acknowledgments We greatly acknowledge the PARSEME IC1207 COST Action for supporting this work.  ...  Deep Learning Architecture The Deep Learning architecture used for training discriminative word embeddings consists of the following layers: 1.  ... 
doi:10.4000/books.aaccademia.1518 fatcat:m77guqgmcbaulghujyirrmryva

Multi-Factors Aware Dual-Attentional Knowledge Tracing [article]

Moyu Zhang
2021 arXiv   pre-print
With the increasing demands of personalized learning, knowledge tracing has become important which traces students' knowledge states based on their historical practices.  ...  These methods use the total number of attempts of students to model students' learning progress and hardly highlight the impact of the most recent relevant practices.  ...  With the development of deep learning, both DIRT [4] and Neural Cognitive Diagnosis (NeuralCD) [36] have combined factor analysis methods with deep learning.  ... 
arXiv:2108.04741v2 fatcat:vweqihs3orfc5nfspicyf4cwmi

Saving Farmland: The Fight for Real Food Nathalie Chambers with All the Dirt: Reflections on Organic Farming

Robin Roberts, Sophie Wooding, Rachel Fisher, Heather Stretch, Robin Tunnicliffe, James Murton
For Magnusson, the state functions as what Kenneth Burke defines as a "terministic screen," a cognitive, symbolic, and, for Magnusson, ultimately political filter "composed of terms through which humans  ...  Close-up photos, in beautiful colour, of many of the wild foods and the dishes made from them, enhance the book.  ... 

Challenges to the Hypothesis of Extended Cognition

Robert D. Rupert
2004 Journal of Philosophy  
Note also the difficulty the present concern creates for a theory of socially distributed cognition.  ...  to which we can present any given patient, receiving then an accurate diagnosis.  ... 
doi:10.5840/jphil2004101826 fatcat:waezamzwafdftkrcy7ufpkxo7q

A hyper-emotion theory of psychological illnesses

P. N. Johnson-Laird, Francesco Mancini, Amelia Gangemi
2006 Psychological review  
This emotion is appropriate for the situation but inappropriate in its intensity.  ...  A hyper-emotion theory of psychological illnesses is presented.  ...  Ekman, 1995, for signs of leakage), and they may be able to attenuate or enhance emotions using a cognitive strategy.  ... 
doi:10.1037/0033-295x.113.4.822 pmid:17014304 fatcat:bq5p275375dalidimspmv2wqca

Keynote Lecture

2021 Asia-Pacific Psychiatry  
Finally, I introduce a potential role of neuromodulation (TMS and tACS) in enhancing semantic cognition.  ...  The sum of the scores was obtained by adding the scores for each item after reverse scoring for items 2 and 4.  ... 
doi:10.1111/appy.12459 fatcat:ys6kew6fpnd63cvvah62so4fae

The Racer's Mind—How Core Perceptual-Cognitive Expertise Is Reflected in Deliberate Practice Procedures in Professional Motorsport

Otto Lappi
2018 Frontiers in Psychology  
Hypotheses about the underlying cognitive processes are developed on the basis of this material.  ...  In this study this approach is applied to the domain of motor racing -specifically the perceptual-cognitive expertise enabling high-speed curve negotiation.  ...  The drills are designed to enhance the development of survey knowledge of the track ("cognitive maps"). N1 is an elementary procedure for explicitly planning ones "line" through a bend.  ... 
doi:10.3389/fpsyg.2018.01294 pmid:30150949 pmcid:PMC6099114 fatcat:dbkvnqlwmrftroxhizbhwmfvty

Development and Clinical Results from the Virtual Iraq Exposure Therapy Application for PTSD

Albert Rizzo, Brad Newman, Thomas Parsons, Greg Reger, Kevin Holloway, Greg Gahm, Barbara Rothbaum, JoAnn Difede, Robert McLay, Scott Johnston, Ken Graap, Josh Spitalnick (+1 others)
2009 2009 Virtual Rehabilitation International Conference  
Virtual Reality (VR) delivered exposure therapy for PTSD has been previously used with reports of positive outcomes.  ...  Post Traumatic Stress Disorder (PTSD) is reported to be caused by exposure to an extreme traumatic stressor involving direct personal experience of (or witnessing/learning about) an event that involves  ...  Listening to the audiotape several times over a week functioned as continual exposure for processing the index trauma to further enhance the probability for habituation to occur.  ... 
doi:10.1109/icvr.2009.5174198 fatcat:mm3tcqxlgjdwthuzwaksplkpnq
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