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Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs

Fei Mi, Dit-Yan Yeung
2015 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Such combination can achieve further performance boosts in both cardinal and ordinal evaluations, suggesting a new research direction to pursue for peer grading on MOOCs.  ...  First, we propose novel extensions to some existing probabilistic graphical models for cardi- nal peer grading.  ...  We would also like to thank the instructor of the Coursera course, Naubahar Sharif, for letting us use the course data for our research and the Coursera support team in our uni-  ... 
doi:10.1609/aaai.v29i1.9210 fatcat:uh5jvu5udbev3i2wih4ragaaou

Leveraging Cognitive Diagnosis to Improve Peer Assessment in MOOCs

Jia Xu, Qiuyun Li, Jing Liu, Pin Lv, Ge Yu
2021 IEEE Access  
In peer assessment, students also become graders in grading a small number of their peers' assignments, and the peer grades are then aggregated to predict a true score for each assignment.  ...  We propose two new probabilistic graph models to improve the accuracy of cardinal peer assessments based on the well-accepted cognitive diagnosis technique.  ...  Mi et al. augmented ordinal models with cardinal predictions as priors and proved that such a combination may achieve further performance boosts in both cardinal and ordinal evaluations [12] .  ... 
doi:10.1109/access.2021.3069055 fatcat:zmb32v4offe5ha23zex3mmjf2y

A Survey on Artificial Intelligence and Data Mining for MOOCs [article]

Simon Fauvel, Han Yu
2016 arXiv   pre-print
Thanks to MOOCs, millions of learners from all over the world have taken thousands of high-quality courses for free.  ...  We then offer an overview of key trends and important research to carry out in the fields of AI and DM so that MOOCs can reach their full potential.  ...  On one hand, they extend existing probabilistic graphical models to improve cardinal grading.  ... 
arXiv:1601.06862v1 fatcat:2soyggpfgnblrlhaie3ixhhyva

Preference-based Online Learning with Dueling Bandits: A Survey [article]

Viktor Bengs, Robert Busa-Fekete, Adil El Mesaoudi-Paul, Eyke Hüllermeier
2021 arXiv   pre-print
This observation has motivated the study of variants of the multi-armed bandit problem, in which more general representations are used both for the type of feedback to learn from and the target of prediction  ...  To this end, we provide an overview of problems that have been considered in the literature as well as methods for tackling them.  ...  We would also like to thank two anonymous referees for their valuable comments and suggestions, which helped to significantly improve this survey.  ... 
arXiv:1807.11398v2 fatcat:jsu6gap5pbgbtm735fgf4aqwmu

Preference-based Online Learning with Dueling Bandits: A Survey

Viktor Bengs, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, Eyke Hüllermeier
2021 Journal of machine learning research  
This observation has motivated the study of variants of the multi-armed bandit problem, in which more general representations are used both for the type of feedback to learn from and the target of prediction  ...  To this end, we provide an overview of problems that have been considered in the literature as well as methods for tackling them.  ...  We would also like to thank two anonymous referees for their valuable comments and suggestions, which helped to significantly improve this survey.  ... 
dblp:journals/jmlr/BengsBMH21 fatcat:mdxi3bzymrb37ckbxbh27pu6f4

Combinatorics and Algorithmics of Strings (Dagstuhl Seminar 14111) Computational Complexity of Discrete Problems (Dagstuhl Seminar 14121) Computational Models of Cultural Behavior for Human-Agent Interaction (Dagstuhl Seminar 14131) Interaction and Collective Movement Processing (Dagstuhl Seminar 14132) Spatial reference in the Semantic Web and in Robotics (Dagstuhl Seminar 14142)

Johannes Fürnkranz, Eyke Hüllermeier, Cynthia Rudin, Scott Sanner, Roman Słowiński, Maxime Crochemore, James Currie, Gregory Kucherov, Dirk Nowotka, Pierre Dillenbourg, Claude Kirchner, John Mitchell (+25 others)
2014 unpublished
The motivation for this seminar was to showcase recent progress in these different areas with the goal of working towards a common basis of understanding, which should help to facilitate future synergies  ...  making, decision under risk and uncertainty, operations research, and others.  ...  This yields both an implicit characterization of polynomial time in terms of ordinary differential equations, and a completeness result on the reachability problems for the corresponding class.  ... 
fatcat:k3cugkqpf5btlba2hklfxyujdq

Patient-generated evidence in Epidermolysis Bullosa (EB): Development of a questionnaire to assess the Quality of Life [chapter]

Laura Benedan, May El Hachem, Carlotta Galeone, Paolo Mariani, Cinzia Pilo, Gianluca Tadini
2021 Proceedings e report  
This tool will be a valid aid for clinicians to understand patients better and identify the areas that need more attention; moreover, it will allow them to follow the patients over time and evaluate the  ...  Although there are different types of EB, which differ in severity, their signs and symptoms overlap.  ...  Onorati and the University of Pollenzo (Bra) for their kind permission to use the survey results described in Sections 2-3.  ... 
doi:10.36253/978-88-5518-461-8.38 fatcat:2yp72egbhrcvxng7avqoskbpse

Dagstuhl Reports, Volume 8, Issue 11, November 2018, Complete Issue [article]

2019
provided, both in the preparation phase and during the seminar.  ...  On behalf of all participants, we would also like to thank Dagstuhl for the high quality facilities provided, for excellent rooms for work and socializing, for the tasty meals, and of course also for the  ...  metamodel for KiP modeling that applies Multi-Level modelling and combines declarative and imperative modelling approaches; (ii) KiPN, a graphical modeling language for the domain of KiPs, and (iv) KiPOwl  ... 
doi:10.4230/dagrep.8.11 fatcat:26dpkqaulza4pjp6jqo2u6qqf4