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Developing and testing a self-assessment and tutoring system

Øistein E. Andersen, Helen Yannakoudakis, Fiona Barker, Tim Parish
2013 Workshop on Innovative Use of NLP for Building Educational Applications  
This paper presents a self-assessment and tutoring system which combines an holistic score with detection and correction of frequent errors and furthermore provides a qualitative assessment of each individual  ...  Automated feedback on writing may be a useful complement to teacher comments in the process of learning a foreign language.  ...  Acknowledgements Special thanks to Ted Briscoe and Marek Rei, as well as to the anonymous reviewers, for their valu-able contributions at various stages.  ... 
dblp:conf/bea/AndersenYBP13 fatcat:nheulglohbbtvhspranbwswy4u

Designing Academic Writing Analytics for Civil Law Student Self-Assessment

Simon Knight, Simon Buckingham Shum, Philippa Ryan, Ágnes Sándor, Xiaolong Wang
2016 International Journal of Artificial Intelligence in Education  
Research into the teaching and assessment of student writing shows that many students find academic writing a challenge to learn, with legal writing no exception.  ...  We describe: the underlying NLP platform and the participatory design process through which the law academic and analytics team tested and refined an existing rhetorical parser for the discipline; the  ...  Our observation from student self-assessment cover sheets indicates that students found self-assessment for these criteria challenging, since they overestimated their performance, and for the teachers,  ... 
doi:10.1007/s40593-016-0121-0 fatcat:etqns7liofdu7f22jvt3seu64u

Classifying Human Audiometric Phenotypes of Age-Related Hearing Loss from Animal Models

Judy R. Dubno, Mark A. Eckert, Fu-Shing Lee, Lois J. Matthews, Richard A. Schmiedt
2013 Journal of the Association for Research in Otolaryngology  
Significant differences in age, gender, and noise exposure history provided external validity for the four phenotypes.  ...  These procedures classified the exemplars with a high degree of accuracy; classifications of the remaining cases were consistent with the exemplars with respect to average thresholds and demographic information  ...  , hearing aid history, self-assessed hearing handicap, tinnitus, smoking, and handedness.  ... 
doi:10.1007/s10162-013-0396-x pmid:23740184 pmcid:PMC3767874 fatcat:kworfatv7zbdneshk7bfmauvka

Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns

You-Yun Lee, Shulan Hsieh, Jean Daunizeau
2014 PLoS ONE  
We conclude that estimating EEG-based functional connectivity provides a useful tool for studying the relationship between brain activity and emotional states.  ...  This study aimed to classify different emotional states by means of EEG-based functional connectivity patterns.  ...  Acknowledgments We thank Ying Yi Chen and Siang Jyun Lin for their assistance in the process of manuscript preparation, and also thank American Journal Experts ( for English proofreading  ... 
doi:10.1371/journal.pone.0095415 pmid:24743695 pmcid:PMC3990628 fatcat:i7wrbgjwqfdphoqowp7m6zcjku

Logistical performance: impact of the use of a logistical tool of self-assessment by first tier suppliers of the automotive industry

Alexandre Graeml, Jurandir Peinado, Marco Kurrle, Joao Schaicoski
2011 BBR Brazilian Business Review  
This paper evaluates the perception of an automotive company assembling commercial transport vehicles and its suppliers about the effectiveness of a tool implemented for the assessment of logistical performance  ...  improving, which is attributed, at least in part, to the utilization of the assessment tool by the company and by its suppliers.  ...  Suppliers classified as "self -assessment" in Table 1 provide the results of the evaluation that they themselves carried out, and have not been audited by the automaker.  ... 
doi:10.15728/bbr.2011.8.3.1 fatcat:nnjo65lepzexhltbsrmol46eo4

Discrepancy between self-assessments and standardised tests of vision and hearing abilities in older people living at home: an ROC curve analysis

Gro Gade Haanes, Marit Kirkevold, Dag Hofoss, Grethe Eilertsen
2015 Journal of Clinical Nursing  
self-assessments and standardized tests of hearing and vision in the elderly.  ...  To explore consistency between standardized tests and global self-assessments, we used the cutoff points on the global self-assessment scale of hearing and vision with the corresponding results on the  ...  However, it is challenging to understand the WHO classification scale (2) classifying normal vision as a VA between 0.8 and 1.0 and slight vision impairment as a VA between 0.4 and 0.7, which is a large  ... 
doi:10.1111/jocn.12967 pmid:26335133 fatcat:b77ta5ufzrht3dfneyz4mvnzku

Emotion recognition using brain activity

Robert Horlings, Dragos Datcu, Leon J. M. Rothkrantz
2008 Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing - CompSysTech '08  
However, using a 3-fold cross validation method for training and testing, we reached classification rates of 32% for recognizing the valence dimension on from eeg signals and 37% for the arousal dimension  ...  We have proposed a system to analyze eeg signals and classify them into 5 classes on two emotional dimensions, valence and arousal.  ...  This resulted in 96.6% correct classification for arousal and 89.93% for valence.  ... 
doi:10.1145/1500879.1500888 dblp:conf/compsystech/HorlingsDR08 fatcat:dsqlvwr5a5axtcyjlbxlqrh4hq

What makes a good mammographer? Looking at the homogeneity of those groups who perform best and least well on the PERFORMS self-assessment scheme

HJ Scott, AG Gale
2008 Breast Cancer Research  
The UK self-assessment scheme Personal Performance in Mammographic Screening (PERFORMS) has also identified where tailored training may be beneficial.  ...  Looking at the homogeneity of those groups who perform best and least well on the PERFORMS self-assessment schemeHJ Scott, AG Gale Loughborough University, Loughborough, UK Breast Cancer Res 2008, 10(Suppl  ...  Of these, 27% were classified as interval cancers, and the incidence rates of these cases were lower for the 25-month to 36-month period from screening to diagnosis compared with the 0-month to 24-month  ... 
doi:10.1186/bcr2072 pmcid:PMC3332640 fatcat:ggy56i2kavajjbffxemopjp6lm

Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images [article]

Peter Washington, Cezmi Onur Mutlu, Aaron Kline, Kelley Paskov, Nate Tyler Stockham, Brianna Chrisman, Nick Deveau, Mourya Surhabi, Nick Haber, Dennis P. Wall
2022 arXiv   pre-print
While CV classifiers for traditional and structured classification tasks can be developed with standard machine learning pipelines for supervised learning consisting of data labeling, preprocessing, and  ...  We highlight at least some of the machine learning advancements needed for imaging classifiers to detect human social cues successfully and reliably.  ...  Crowdsourcing metrics for analyzing worker trustworthiness have been largely explored in human-computer interaction literature, including peer review by other crowdworkers, self assessment, comparison  ... 
arXiv:2201.11197v1 fatcat:fvhzvvctn5drtooemem4u6qloi

Recognition of Consumer Preference by Analysis and Classification EEG Signals

Mashael Aldayel, Mourad Ykhlef, Abeer Al-Nafjan
2021 Frontiers in Human Neuroscience  
Moreover, we compared deep learning with other traditional classifiers, such as k-nearest neighbor (KNN), support vector machine (SVM), and random forest (RF).  ...  Through rigorous offline analysis, we investigated the computational intelligence for preference detection and classification.  ...  ACKNOWLEDGMENTS The authors would like to thank the deanship of scientific research for funding and supporting this research through the initiative of DSR Graduate Students Research Support (GSR) at King  ... 
doi:10.3389/fnhum.2020.604639 pmid:33519402 pmcid:PMC7838383 fatcat:wfyyr52hozdrtemkfmoidyc7aq

Towards the Automated Evaluation of Crowd Work: Machine-Learning Based Classification of Complex Texts Simplified by Laymen

Holger Hoffmann, Angelika Bullinger, Christiane Fellbaum
2013 2013 46th Hawaii International Conference on System Sciences  
Key findings are that the proposed classification approach is feasible and the SVM classifier performs best in our experiment.  ...  Using the example of crowd generated patent transcripts we build on interdisciplinary research to present an approach to classifying them along two dimensions -correctness and readability.  ...  The current tendency to establish a classification of crowd work by a combination of self-assessment and peer evaluation (advocated among others by [46] ) has to be reconsidered in the light of our findings  ... 
doi:10.1109/hicss.2013.568 dblp:conf/hicss/HoffmannBF13 fatcat:sitb2bil2fbenjvovvq3nwqb6q

Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-wise Missing Data

John Prince, Fernando Andreotti, Maarten De Vos
2018 IEEE Transactions on Biomedical Engineering  
Missing data has shown particularly problematic for remotely diagnosing and monitoring Parkinson's disease (PD) using smartphones.  ...  The use of multi-source ensemble learning, alongside convolutional neural networks (CNNs) capitalizing on the amount of available data, increases PD classification accuracy from 73.1% to 82.0% as compared  ...  The mPower application allowed participants to complete regular self-assessed severity surveys and a one-off demographics survey in addition to four different activities intended to test for the presence  ... 
doi:10.1109/tbme.2018.2873252 pmid:30403615 pmcid:PMC6487914 fatcat:kgehrfvojneankhdqgqiua3muy

Mediating Group Dynamics through Tabletop Interface Design

M.R. Morris, A. Cassanego, A. Paepcke, T. Winograd, A.M. Piper, A. Huang
2006 IEEE Computer Graphics and Applications  
Acknowledgments We thank Mitsubishi Electric Research Labs for donating a DiamondTouch table and for their contributions to the coordination policies work.  ...  We also acknowledge Eileen O'Brien for her contributions to Sides.  ...  By comparing subjects' self-assessments of their contribution to the activity (in terms of number of clues classified) with logs of actual tabletop interaction, we confirmed that audio feedback increased  ... 
doi:10.1109/mcg.2006.114 pmid:16983890 fatcat:hzqjcgfbvffelo6gfqyuxx3pti

Review of Wearable Devices and Data Collection Considerations for Connected Health

Vini Vijayan, James Connolly, Joan Condell, Nigel McKelvey, Philip Gardiner
2021 Sensors  
Wearable sensors can typically assess and quantify the wearer's physiology and are commonly employed for human activity detection and quantified self-assessment.  ...  This paper discusses current techniques used to track and record various human body movements, as well as techniques used to measure activity and sleep from long-term data collected by wearable technology  ...  In a smartphone application, the device will train using the patients' DAS28 and HAQ scores, as well as a self-assessed tender joint count (sTJC) and a self-assessed swollen joint count (sSJC).  ... 
doi:10.3390/s21165589 pmid:34451032 pmcid:PMC8402237 fatcat:qubolay6wjb35orvkwtunwz7e4

ExerSense: Real-Tme Physical Exercise Segmentation, Classification, and Counting Algorithm Using an IMU Sensor [article]

Shun Ishii, Kizito Nkurikiyeyezu, Anna Yokokubo, Guillaume Lopez
2020 arXiv   pre-print
The proposed algorithm achieves a 95\% classification accuracy for five indoor and outdoor exercises, including segmentation error.  ...  This paper introduces a real-time segmentation and classification algorithm that recognizes physical exercises and that works well in both indoor and outdoor environments.  ...  Introduction Exercise and physical activity have well-documented mental and physical health benefits [1, 2] . People with regular physical activity are healthier and have a better mood.  ... 
arXiv:2004.10026v1 fatcat:g2ek4rki7jcwpa5o2tlzimf7wm
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