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How Should Intelligent Tutoring Systems Sequence Multiple Graphical Representations of Fractions? A Multi-Methods Study

M. A. Rau, V. Aleven, N. Rummel, Z. Pardos
2013 International Journal of Artificial Intelligence in Education  
Our findings have implications for the design of multi-representational learning materials and for research on adaptive practice schedules in intelligent tutoring systems.  ...  We addressed this question using a variety of research methods. First, we conducted a classroom experiment with an intelligent tutoring system for fractions.  ...  the use of adaptive practice schedules in intelligent tutoring systems.  ... 
doi:10.1007/s40593-013-0011-7 fatcat:em2gtzhimzcebnwwjfeyc5dtju

Towards Automated Understanding of Student-Tutor Interactions Using Visual Deictic Gestures

Suchitra Sathayanarayana, Ravi Kumar Satzoda, Amber Carini, Monique Lee, Linda Salamanca, Judy Reilly, Deborah Forster, Marian Bartlett, Gwen Littlewort
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
To the best knowledge of the authors, this is the first work in the area of intelligent tutoring systems, which focuses on spatial localization of deictic gestural activity, i.e. where the deictic gesture  ...  In this paper, we present techniques for automated understanding of tutor-student behavior through detecting visual deictic gestures, in the context of one-to-one mathematics tutoring.  ...  Additional measurements of student and teacher FACS units were automatically extracted using the Computer Expression Recognition Toolbox (CERT).  ... 
doi:10.1109/cvprw.2014.77 dblp:conf/cvpr/SathyanarayanaSCLSRFBL14 fatcat:yt7re4dxerghjm7yw4yikgqgaa

A Pen Based Intelligent System for Educating Arabic Handwriting

Mohamed Loey
2020 Figshare  
The main objective of this thesis is to build an intelligent tutor system torecognize and diagnose children handwritten mistakes.  ...  Theproposed system was designed and developed for automatically recognizinghandwritten Arabic characters and digits using deep learning architectures.The system also detects and diagnoses Arabic preschool  ...  Intelligent Tutoring Systems An Intelligent Tutoring System (ITS) is a computer-based learning system that attempts to adjust to the needs of educators and students.  ... 
doi:10.6084/m9.figshare.12249056.v1 fatcat:xro3pxjfi5hutpaxrsqz2slt2i

Creating cognitive tutors for collaborative learning: steps toward realization

Andreas Harrer, Bruce M. McLaren, Erin Walker, Lars Bollen, Jonathan Sewall
2006 User modeling and user-adapted interaction  
, as the basis for a tutor.  ...  This is a challenging goal, as intelligent tutors have traditionally focused on cognitive skills, rather than on the skills necessary to collaborate successfully.  ...  Koedinger for his valuable contributions in the discussion of this project, Tilman Goehnert and Mike Schneider for their support in implementing this approach, and the students of the course "Modelling  ... 
doi:10.1007/s11257-006-9007-4 fatcat:7yazj24jffaldosxfow5hdolyy

The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces

Benjamin Paassen, Barbara Hammer, Thomas W. Price, Tiffany Barnes, Sebastian Gross, Niels Pinkwart
2018 Zenodo  
Intelligent tutoring systems can support students in solving multi-step tasks by providing hints regarding what to do next.  ...  Still, the Hint Factory relies on student data being available for any state a student might visit while solving the task, which is not the case for some learning tasks, such as open-ended programming  ...  Rivers and Koedinger (2015) address this issue in their Intelligent Teaching Assistant for Programming (ITAP), an intelligent tutoring system for Python programming.  ... 
doi:10.5281/zenodo.3554697 fatcat:yrd4o7kemngshagb4nalpzaqry

The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces [article]

Benjamin Paaßen and Barbara Hammer and Thomas William Price and Tiffany Barnes and Sebastian Gross and Niels Pinkwart
2018 arXiv   pre-print
Intelligent tutoring systems can support students in solving multi-step tasks by providing hints regarding what to do next.  ...  Still, the Hint Factory relies on student data being available for any state a student might visit while solving the task, which is not the case for some learning tasks, such as open-ended programming  ...  Acknowledgements This research was funded by the German Research Foundation (DFG) as part of the project "Learning Dynamic Feedback for Intelligent Tutoring Systems" under the grant number HA 2719/6-2  ... 
arXiv:1708.06564v2 fatcat:6uc5bhgfvjftpkusmtadkewtcq

Book reports

2002 Computers and Mathematics with Applications  
Growth and maturity of intelligent tutoring systems: A status report (Beverly Park Woolf, Joseph Beck, Christopher Eliot and Mia Stern). 5.  ...  A simple TBl-type Matlab toolbox. 3. Synthesis of logical functions and digital systems with Turing networks. 3.1. Combinational versus sequential systems. 3.2.  ... 
doi:10.1016/s0898-1221(02)00272-9 fatcat:dlkuzp6p5nbilivckq5ezj5cbe

Microgenetic Learning Analytics Methods: Workshop Report

Ani Aghababyan, Taylor Martin, Philip Janisiewicz, Kevin Close
2016 Journal of Learning Analytics  
This paper not only adds to the toolbox for learning analytics researchers (particularly when analyzing time series data), but also shares our experience interpreting a unique and complex dataset.  ...  educational researchers to our experience using data analysis techniques with the RStudio development environment to analyze temporal records of 52 elementary students' affective and behavioural responses to a  ...  given moment of activity in a genetics intelligent tutor program.  ... 
doi:10.18608/jla.2016.33.6 fatcat:kggwfr2ykrbwxk4hh46dxhw7si

Incorporating cognitive/learning styles in a general-purpose adaptive hypermedia system

Natalia Stash
2007 ACM SIGWEB Newsletter  
ELM-ART (ELM Adaptive Remote Tutor) ] is a Web-based intelligent tutoring system to support learning programming in Lisp.  ...  ITEM/IP integrates an intelligent tutoring system for programming, a programming environment, and adaptive on-line help facilities on the basis of the domain model and the overlay student model which serve  ...  The most popular area for adaptive hypermedia research is adaptive educational hypermedia systems (AEHS).  ... 
doi:10.1145/1324960.1324963 fatcat:55xgs76jqfgp7eidvacnm2f4zq

Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach

Peter Gerjets, Carina Walter, Wolfgang Rosenstiel, Martin Bogdan, Thorsten O. Zander
2014 Frontiers in Neuroscience  
assessment using a passive braincomputer interface approach.  ...  Thus, presenting instruction in a way that WML is constantly held within an optimal range with regard to learners' working-memory capacity might be a good method to provide these optimal conditions.  ...  Carina Walter was a doctoral student of the LEAD Graduate School [GSC1028], funded by the Excellence Initiative of the German federal and state governments.  ... 
doi:10.3389/fnins.2014.00385 pmid:25538544 pmcid:PMC4260500 fatcat:tibyeqsiszhihhbj7zjejbl5eu

Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience

Emily L Mackevicius, Andrew H Bahle, Alex H Williams, Shijie Gu, Natalia I Denisenko, Mark S Goldman, Michale S Fee
2019 eLife  
Here, we describe a software toolbox—called seqNMF—with new methods for extracting informative, non-redundant, sequences from high-dimensional neural data, testing the significance of these extracted patterns  ...  Repeated temporal patterns (sequences) are thought to be a salient feature of neural dynamics, but are not succinctly captured by traditional dimensionality reduction techniques.  ...  Acknowledgements This work was supported by a grant from the Simons Collaboration for the Global Brain, the National Institutes of Health (NIH) [grant number R01 DC009183] and the G Harold and Leila Y  ... 
doi:10.7554/elife.38471 pmid:30719973 pmcid:PMC6363393 fatcat:bflnb73h6je6vmnnudmwwzcjtq

Intelligent designs in nanophotonics: from optimization towards inverse creation

Ning Wang, Wei Yan, Yurui Qu, Siqi Ma, Stan Z. Li, Min Qiu
2021 PhotoniX  
In this review, we offer a systemic view on recent advancements in nanophotonic components designed by intelligence algorithms, manifesting a development trend from performance optimizations towards inverse  ...  Inverse design of functional nanostructures is at the heart of this topic, in which artificial intelligence (AI) furnishes various optimization toolboxes to speed up prototyping of photonic layouts with  ...  N.W. specially thanks for Dr. Tim Jiangbo Zhao for his proofreading of the manuscript.  ... 
doi:10.1186/s43074-021-00044-y doaj:7171dc7a2d5e47edba2303d0e68a69d3 fatcat:mtupv75rkzgwjltnlj7faf257u

Spatial machine learning: new opportunities for regional science

Katarzyna Kopczewska
2021 The annals of regional science  
AbstractThis paper is a methodological guide to using machine learning in the spatial context.  ...  It catalogues and comments on the usage of spatial clustering methods (for locations and values, both separately and jointly) for mapping, bootstrapping, cross-validation, GWR modelling and density indicators  ...  The BCG approach outperforms CG, as proved by dissimilarity measures.  ... 
doi:10.1007/s00168-021-01101-x fatcat:me54gjscejevla5g23vcho74ai

Teaching Programming for Mathematical Scientists [article]

Jack Betteridge, Eunice Y.S. Chan, Robert M. Corless, James H. Davenport, James Grant
2020 arXiv   pre-print
Underlying both is a clear recognition of the value of computer programming for mathematics education.  ...  These activities are, in some important ways, natural precursors to the use of Artificial Intelligence in Mathematics Education.  ...  EYSC and RMC also thank Western University for a grant to work on the project Computational Discovery on Jupyter, some of whose results are discussed here.  ... 
arXiv:2010.16300v1 fatcat:waouq2r6lbfwhleacsxub6n3am

An Overview of Bayesian Network Applications in Uncertain Domains

Khalid Iqbal, Xu-Cheng Yin, Hong-Wei Hao, Qazi Mudassar Ilyas, Hazrat Ali
2015 Journal of clean energy technologies  
The Bayesian Network (BN) is a widely applied technique for characterization and analysis of uncertainty in real world domains.  ...  Thus, the real application of BN can be observed in a broad range of domains such as image processing, decision making, system reliability estimation and PPDM (Privacy Preserving in Data Mining) in association  ...  An adaptive tutoring system is developed by Millan et al. [78] to endow with a background to education practitioners.  ... 
doi:10.7763/ijcte.2015.v7.996 fatcat:qlhgx3kuevenxlvn3q5uu5lubu
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