Seta, K. and Watanabe, T.(EdsProceedings of the 11th International Conference on Knowledge Management. Bayesian Networks For Competence-based Student Modeling Nguyen-Thinh LE & Niels PINKWART Humboldt Univers

Source URL: cses.informatik.hu-berlin.de

• Educational psychology
• Education
• Cognitive science
• Bayesian network
• Networks
• Linguistic competence
• Bayesian Knowledge Tracing
• Adaptive hypermedia
• Educational technology
• Learning
• Draft:Dietrich Albert

Computer-Aided Personalized Education This material is based upon work supported by the National Science Foundation under Grant NoAny opinions, findings, and conclusions or recommendations expressed in this

Source URL: cra.org

• Educational psychology
• Educational technology
• Learning
• Pedagogy
• Education
• Adaptive learning
• Collaborative learning
• Learning analytics
• Learning environment
• Massive open online course
• Personalized learning
• Peer learning

Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi

Source URL: stanford.edu

• Convex optimization
• Mathematical optimization
• Stochastic optimization
• Machine learning
• Gradient descent
• Subgradient method
• Stochastic gradient descent
• Proximal gradient methods for learning
• Perceptron
• BroydenFletcherGoldfarbShanno algorithm
• Online machine learning
• Loss functions for classification

Non-parametric Regression with Basis Selection from Multiple Libraries Jeffrey C. Sklar, Junqing Wu, Wendy Meiring, and Yuedong Wang ∗

Source URL: www.pstat.ucsb.edu

• Regression analysis
• Statistical methods
• Model selection
• Machine learning
• Multivariate adaptive regression splines
• Econometrics
• Stepwise regression
• Akaike information criterion
• Smoothing spline
• Bayesian information criterion

Making Static Lessons Adaptive through Crowdsourcing & Machine Learning Joseph Jay Williams, Juho Kim, Elena Glassman, Anna Rafferty and Walter S. Lasecki. Harvard University Korea Advanced Institu

Source URL: vpal.harvard.edu

• Educational psychology
• Educational technology
• Learning
• Instructional design
• Explanation
• Worked-example effect

X MAPE-K Formal Templates to Rigorously Design Behaviors for Self-Adaptive Systems DIDAC GIL DE LA IGLESIA, Linnaeus University DANNY WEYNS, Linnaeus University

Source URL: homepage.lnu.se

• Education
• Cybernetics
• Developmental psychology
• Educational psychology
• Cognition
• Systems science
• Control theory
• Systems theory
• Adaptive behavior
• Feedback
• Adaptive system
• Learning

A Lyapunov Based Stable Online Learning Algorithm For Nonlinear Dynamical Systems Using Extreme Learning Machines Vijay Manikandan Janakiraman∗ , XuanLong Nguyen† , Dennis Assanis‡ ∗ Department of Mechanical Eng

Source URL: dept.stat.lsa.umich.edu

• Control theory
• Dynamical systems
• Dimension reduction
• Mathematical optimization
• Statistical classification
• Nonlinear system identification
• Principal component analysis
• Recursive least squares filter
• Adaptive control
• Support vector machine
• Artificial neural network
• Lyapunov stability

15 Analysis of Instructional Design and a Rationale for the Model of Instruction

Source URL: dianadell.com

• Education
• Educational psychology
• Hypermedia
• Instructional design
• Educational technology
• Andragogy
• Learning theory
• Learning
• Adaptive hypermedia
• E-learning

Real-time Adaptation of Augmented-Reality Games for Optimizing Player Satisfaction Georgios N. Yannakakis, Member, IEEE, and John Hallam Abstract— A first endeavor for optimizing player satisfaction in augmented-realit

Source URL: www.csse.uwa.edu.au

• Game design
• Leisure
• Gaming
• Learning
• Education
• Dynamic game difficulty balancing
• Georgios N. Yannakakis
• Playware
• Gameplay
• Adaptive learning
• Play
• Video game

JMLR: Workshop and Conference Proceedings vol–26 24th Annual Conference on Learning Theory Regret Bounds for the Adaptive Control of Linear Quadratic Systems

Source URL: webdocs.cs.ualberta.ca