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zearnrefs.bib
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@article{duflo2011,
title = {Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya},
author = {Duflo, Esther and Dupas, Pascaline and Kremer, Michael},
year = {2011},
month = {08},
date = {2011-08-01},
journal = {American Economic Review},
pages = {1739--1774},
volume = {101},
number = {5},
doi = {10.1257/aer.101.5.1739},
url = {https://pubs.aeaweb.org/doi/10.1257/aer.101.5.1739},
langid = {en}
}
@book{sutton2018,
title = {Reinforcement learning: an introduction},
author = {Sutton, Richard S. and Barto, Andrew G.},
year = {2018},
date = {2018},
publisher = {The MIT Press},
series = {Adaptive computation and machine learning series},
edition = {Second edition},
address = {Cambridge, Massachusetts},
langid = {en}
}
@article{hedges1994,
title = {An Exchange: Part I: Does Money Matter? A Meta-Analysis of Studies of the Effects of Differential School Inputs on Student Outcomes},
author = {Hedges, Larry V. and Laine, Richard D. and Greenwald, Rob},
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journal = {Educational Researcher},
pages = {5},
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number = {3},
doi = {10.2307/1177220},
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}
@book{howard1960,
title = {Dynamic programming and Markov processes},
author = {Howard, Ronald A.},
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publisher = {Technology Press of Massachusetts Institute of Technology},
address = {Cambridge}
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title = {Optimizing the learning of a second-language vocabulary},
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Publisher: American Psychological Association}
}
@article{doroudi2019,
title = {Where{\textquoteright}s the Reward?: A Review of Reinforcement Learning for Instructional Sequencing},
author = {Doroudi, Shayan and Aleven, Vincent and Brunskill, Emma},
year = {2019},
month = {12},
date = {2019-12},
journal = {International Journal of Artificial Intelligence in Education},
pages = {568--620},
volume = {29},
number = {4},
doi = {10.1007/s40593-019-00187-x},
url = {http://link.springer.com/10.1007/s40593-019-00187-x},
langid = {en}
}
@misc{post-weblog,
url = {https://about.zearn.org/research}
}
@inproceedings{jumaat2014,
title = {2014 International Conference on Teaching and Learning in Computing and Engineering (LaTiCE)},
author = {Jumaat, Nurul Farhana and Tasir, Zaidatun},
year = {2014},
month = {04},
date = {2014-04},
publisher = {IEEE},
pages = {74--77},
doi = {10.1109/LaTiCE.2014.22},
url = {http://ieeexplore.ieee.org/document/6821832/},
address = {Kuching, Malaysia}
}
@inbook{reiser2014,
title = {Scaffolding},
author = {Reiser, Brian J. and Tabak, Iris},
editor = {Sawyer, R. Keith},
year = {2014},
month = {09},
date = {2014-09-23},
publisher = {Cambridge University Press},
pages = {44--62},
edition = {2},
url = {https://www.cambridge.org/core/product/identifier/9781139519526%23c03325-3-1/type/book_part},
note = {DOI: 10.1017/CBO9781139519526.005}
}
@techreport{knudsen2020,
title = {Zearn Math Curriculum Study Professional Development final report},
author = {Knudsen, Jennifer and Lundh, Patrik and Hsiao, Mindy and Saucedo, Daniela},
year = {2020},
month = {12},
date = {2020-12}
}
@techreport{morrison2019,
title = {Efficacy Study of Zearn Math in a Large Urban School District},
author = {Morrison, Jennifer and Wolf, Betsy and Ross, Steven and Risman, Kelsey and McLemore, Caitlin},
year = {2019},
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date = {2019-04},
url = {http://jhir.library.jhu.edu/handle/1774.2/62395},
langid = {en}
}
@article{jolliffe2016,
title = {Principal component analysis: a review and recent developments},
author = {Jolliffe, Ian T. and Cadima, Jorge},
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langid = {en}
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title = {Learning the parts of objects by non-negative matrix factorization},
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langid = {en}
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@book{goodfellow2016,
title = {Deep learning},
author = {Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron},
year = {2016},
date = {2016},
publisher = {The MIT Press},
series = {Adaptive computation and machine learning},
address = {Cambridge, Massachusetts}
}
@article{watkins1992,
title = {Q-learning},
author = {Watkins, Christopher J. C. H. and Dayan, Peter},
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number = {3-4},
doi = {10.1007/BF00992698},
url = {http://link.springer.com/10.1007/BF00992698},
langid = {en}
}
@article{lau2005,
title = {DYNAMIC RESPONSE-BY-RESPONSE MODELS OF MATCHING BEHAVIOR IN RHESUS MONKEYS},
author = {Lau, Brian and Glimcher, Paul W.},
year = {2005},
month = {11},
date = {2005-11},
journal = {Journal of the Experimental Analysis of Behavior},
pages = {555--579},
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url = {http://doi.wiley.com/10.1901/jeab.2005.110-04},
langid = {en}
}
@book{rummery,
title = {On-line Q-learning using connectionist systems},
author = {Rummery, Gavin A and Niranjan, Mahesan},
publisher = {University of Cambridge, Department of Engineering},
volume = {37},
address = {Cambridge, UK}
}
@article{dayan2008,
title = {Reinforcement learning: The Good, The Bad and The Ugly},
author = {Dayan, Peter and Niv, Yael},
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journal = {Current Opinion in Neurobiology},
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number = {2},
doi = {10.1016/j.conb.2008.08.003},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0959438808000767},
langid = {en}
}
@article{ormoneit2002,
title = {Kernel-Based Reinforcement Learning},
author = {Ormoneit, Dirk and Sen, {{\'{S}}aunak}},
year = {2002},
date = {2002},
journal = {Machine Learning},
pages = {161--178},
volume = {49},
number = {2/3},
doi = {10.1023/A:1017928328829},
url = {http://link.springer.com/10.1023/A:1017928328829},
langid = {en}
}
@article{domingues,
title = {Kernel-Based Reinforcement Learning: A Finite-Time Analysis},
author = {Domingues, Omar Darwiche and {Ménard}, Pierre and Pirotta, Matteo and Kaufmann, Emilie and Valko, Michal},
langid = {en}
}
@article{liu,
title = {Provably Efficient Kernelized Q-Learning},
author = {Liu, Shuang and Su, Hao},
langid = {en}
}
@article{croissant2008,
title = {Panel Data Econometrics in {\emph{R}} : The {\textbf{plm}} Package},
author = {Croissant, Yves and Millo, Giovanni},
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date = {2008},
journal = {Journal of Statistical Software},
volume = {27},
number = {2},
doi = {10.18637/jss.v027.i02},
url = {http://www.jstatsoft.org/v27/i02/},
langid = {en}
}
@article{hausman1978,
title = {Specification Tests in Econometrics},
author = {Hausman, J. A.},
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url = {https://www.jstor.org/stable/1913827?origin=crossref}
}
@article{pedregosa2011,
title = {Scikit-learn: Machine Learning in Python},
author = {Pedregosa, Fabian and Varoquaux, Gael and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and Vanderplas, Jake and Passos, Alexandre and Cournapeau, David},
year = {2011},
date = {2011},
journal = {Journal of Machine Learning Research},
pages = {2825--2830},
volume = {12},
langid = {en}
}
@book{stanmod2022,
title = {Stan Modeling Language Users Guide and Reference Manual, 2.32},
year = {2022},
date = {2022},
url = {https://mc-stan.org}
}
@book{gabry2022,
title = {cmdstanr: R Interface to 'CmdStan'},
author = {Gabry, Jonah and {{\v{C}}e{\v{s}}novar}, Rok},
year = {2022},
date = {2022},
url = {https://mc-stan.org/cmdstanr/}
}
@article{bates2015,
title = {Fitting Linear Mixed-Effects Models Using {\textbf{lme4}}},
author = {Bates, Douglas and {Mächler}, Martin and Bolker, Ben and Walker, Steve},
year = {2015},
date = {2015},
journal = {Journal of Statistical Software},
volume = {67},
number = {1},
doi = {10.18637/jss.v067.i01},
url = {http://www.jstatsoft.org/v67/i01/},
langid = {en}
}
@article{bürkner2017,
title = {{\textbf{brms}} : An {\emph{R}} Package for Bayesian Multilevel Models Using {\emph{Stan}}},
author = {{Bürkner}, Paul-Christian},
year = {2017},
date = {2017},
journal = {Journal of Statistical Software},
volume = {80},
number = {1},
doi = {10.18637/jss.v080.i01},
url = {http://www.jstatsoft.org/v80/i01/},
langid = {en}
}
@article{bürkner2021,
title = {Bayesian Item Response Modeling in {\emph{R}} with {\textbf{brms}} and {\emph{Stan}}},
author = {{Bürkner}, Paul-Christian},
year = {2021},
date = {2021},
journal = {Journal of Statistical Software},
volume = {100},
number = {5},
doi = {10.18637/jss.v100.i05},
url = {https://www.jstatsoft.org/v100/i05/},
langid = {en}
}
@article{betancourt2017,
title = {A Conceptual Introduction to Hamiltonian Monte Carlo},
author = {Betancourt, Michael},
year = {2017},
date = {2017},
doi = {10.48550/ARXIV.1701.02434},
url = {https://arxiv.org/abs/1701.02434},
note = {Publisher: arXiv
Version Number: 2}
}
@article{gelman1992,
title = {Inference from Iterative Simulation Using Multiple Sequences},
author = {Gelman, Andrew and Rubin, Donald B.},
year = {1992},
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journal = {Statistical Science},
volume = {7},
number = {4},
doi = {10.1214/ss/1177011136},
url = {https://projecteuclid.org/journals/statistical-science/volume-7/issue-4/Inference-from-Iterative-Simulation-Using-Multiple-Sequences/10.1214/ss/1177011136.full}
}
@article{ahn2017,
title = {Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package},
author = {Ahn, Woo-Young and Haines, Nathaniel and Zhang, Lei},
year = {2017},
month = {10},
date = {2017-10-01},
journal = {Computational Psychiatry},
pages = {24},
volume = {1},
number = {0},
doi = {10.1162/CPSY_a_00002},
url = {https://cpsyjournal.org/article/10.1162/CPSY_a_00002/}
}
@book{vehtari2023,
title = {loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models},
author = {Vehtari, A and Gabry, J and Magnusson, M and Yao, Y and {Bürkner}, P and Paananen, T and Gelman, A},
year = {2023},
date = {2023},
url = {https://mc-stan.org/loo/}
}
@article{vehtari2017,
title = {Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC},
author = {Vehtari, Aki and Gelman, Andrew and Gabry, Jonah},
year = {2017},
month = {09},
date = {2017-09},
journal = {Statistics and Computing},
pages = {1413--1432},
volume = {27},
number = {5},
doi = {10.1007/s11222-016-9696-4},
url = {http://link.springer.com/10.1007/s11222-016-9696-4},
langid = {en}
}
@article{buyalskaya2023,
title = {What can machine learning teach us about habit formation? Evidence from exercise and hygiene},
author = {Buyalskaya, Anastasia and Ho, Hung and Milkman, Katherine L. and Li, Xiaomin and Duckworth, Angela L. and Camerer, Colin},
year = {2023},
month = {04},
date = {2023-04-25},
journal = {Proceedings of the National Academy of Sciences},
pages = {e2216115120},
volume = {120},
number = {17},
doi = {10.1073/pnas.2216115120},
url = {https://pnas.org/doi/10.1073/pnas.2216115120},
langid = {en}
}
@article{rivkin2005,
title = {Teachers, Schools, and Academic Achievement},
author = {Rivkin, Steven G. and Hanushek, Eric A. and Kain, John F.},
year = {2005},
month = {03},
date = {2005-03},
journal = {Econometrica},
pages = {417--458},
volume = {73},
number = {2},
doi = {10.1111/j.1468-0262.2005.00584.x},
url = {http://doi.wiley.com/10.1111/j.1468-0262.2005.00584.x},
langid = {en}
}
@article{duflo2011a,
title = {Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya},
author = {Duflo, Esther and Dupas, Pascaline and Kremer, Michael},
year = {2011},
month = {08},
date = {2011-08-01},
journal = {American Economic Review},
pages = {1739--1774},
volume = {101},
number = {5},
doi = {10.1257/aer.101.5.1739},
url = {https://pubs.aeaweb.org/doi/10.1257/aer.101.5.1739},
note = {QID: Q105848449},
langid = {en}
}
@book{sutton2018a,
title = {Reinforcement learning: an introduction},
author = {Sutton, Richard S. and Barto, Andrew G.},
year = {2018},
date = {2018},
publisher = {The MIT Press},
series = {Adaptive computation and machine learning series},
edition = {Second edition},
note = {QID: Q111431416},
address = {Cambridge, Massachusetts},
langid = {en}
}
@book{sutton2018b,
title = {Reinforcement learning: an introduction},
author = {Sutton, Richard S. and Barto, Andrew G.},
year = {2018},
date = {2018},
publisher = {The MIT Press},
series = {Adaptive computation and machine learning series},
edition = {Second edition},
note = {QID: Q111431416},
address = {Cambridge, Massachusetts},
langid = {en}
}
@misc{zearn,
title = {Overview Materials},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/4403432293271-Overview-Materials},
langid = {canadian}
}
@misc{zearna,
title = {Curriculum Map},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/115016098288-Curriculum-Map},
langid = {canadian}
}
@misc{zearnb,
title = {Assessments},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/4403429312279-Assessments},
langid = {canadian}
}
@misc{zearnc,
title = {Mission-level assessments},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/115007900988-Mission-level-assessments},
langid = {canadian}
}
@misc{zearnd,
title = {Zearn Student Notes},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/5255954252311-Zearn-Student-Notes},
langid = {canadian}
}
@misc{zearne,
title = {Zearn Recommended Schedule},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/236278407-Zearn-Recommended-Schedule},
langid = {canadian}
}
@misc{zearnf,
title = {Overview Materials},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/4403432293271-Overview-Materials},
langid = {canadian}
}
@misc{zearng,
title = {Zearn Math for Kindergarten},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/115008330968-Zearn-Math-for-Kindergarten},
langid = {canadian}
}
@misc{zearnh,
title = {Kindergarten Digital Activities},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/1500003414022-Kindergarten-Digital-Activities},
langid = {canadian}
}
@misc{zearni,
title = {Overview Materials},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/4403432293271-Overview-Materials},
langid = {canadian}
}
@misc{zearnj,
title = {Use Zearn as homework},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/115007901328-Use-Zearn-as-homework},
langid = {canadian}
}
@misc{zearnk,
title = {Optional Practice Materials},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/4403429109143-Optional-Practice-Materials},
langid = {canadian}
}
@misc{zearnl,
title = {Lesson Materials},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/4403432269719-Lesson-Materials},
langid = {canadian}
}
@misc{zearnm,
title = {Paper Exit Ticket},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/115007738707-Paper-Exit-Ticket},
langid = {canadian}
}
@misc{zearnn,
title = {Teaching with Zearn Math in Louisiana},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/1500009157742-Teaching-with-Zearn-Math-in-Louisiana},
langid = {canadian}
}
@misc{zearno,
title = {Lesson-Aligned Fluency},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/236278807-Lesson-Aligned-Fluency},
langid = {canadian}
}
@misc{zearnp,
title = {Lesson Materials},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/4403432269719-Lesson-Materials},
langid = {canadian}
}
@misc{zearnq,
title = {Adaptive Fluency: Number Gym},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/360052426453-Adaptive-Fluency-Number-Gym},
langid = {canadian}
}
@misc{zearnr,
title = {Guided Practice},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/360052426573-Guided-Practice},
langid = {canadian}
}
@misc{zearns,
title = {Kindergarten Activity Tracker},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/1500000413782-Kindergarten-Activity-Tracker},
langid = {canadian}
}
@misc{zearnt,
title = {Adaptive Fluency: Number Gym},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/360052426453-Adaptive-Fluency-Number-Gym},
langid = {canadian}
}
@misc{zearnu,
title = {Independent Practice: Tower of Power},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/360052426593-Independent-Practice-Tower-of-Power},
langid = {canadian}
}
@misc{zearnv,
title = {Zearn Student Notes},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/5255954252311-Zearn-Student-Notes},
langid = {canadian}
}
@misc{zearnw,
title = {Tower Alerts Report},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/236239748-Tower-Alerts-Report},
langid = {canadian}
}
@misc{zearnx,
title = {Orient to teacher materials and student supports},
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url = {https://help.zearn.org/hc/en-us/articles/22137595108247-Orient-to-teacher-materials-and-student-supports},
langid = {canadian}
}
@misc{zearny,
title = {Paper Exit Ticket},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/115007738707-Paper-Exit-Ticket},
langid = {canadian}
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@misc{zearnz,
title = {Zearn Student Notes},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/5255954252311-Zearn-Student-Notes},
langid = {canadian}
}
@misc{zearnaa,
title = {Math Professional Development},
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langid = {en}
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title = {Curriculum Study PD},
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@misc{lesson-a,
title = {Lesson-Aligned Fluency},
url = {https://help.zearn.org/hc/en-us/articles/236278807-Lesson-Aligned-Fluency},
langid = {canadian}
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@misc{zearnac,
title = {Boosts},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/1500003390061-Boosts},
langid = {canadian}
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@misc{zearnad,
title = {Independent Practice: Tower of Power},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/360052426593-Independent-Practice-Tower-of-Power},
langid = {canadian}
}
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title = {Independent Digital Lessons: {\textquotedblleft}Look Fors{\textquotedblright} Guide (G1-8)},
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langid = {en}
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@misc{zearnae,
title = {Independent Digital Lesson components},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/236238988-Independent-Digital-Lesson-components},
langid = {canadian}
}
@misc{zearnaf,
title = {Download student logins},
author = {Zearn, },
url = {https://help.zearn.org/hc/en-us/articles/5700246424343-Download-student-logins},
langid = {canadian}
}
@article{piray2019a,
title = {Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies},
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year = {2019},
month = {06},
date = {2019-06-18},
journal = {PLOS Computational Biology},
pages = {e1007043},
volume = {15},
number = {6},
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url = {https://dx.plos.org/10.1371/journal.pcbi.1007043},
note = {60 citations (Crossref) [2024-03-29]},
langid = {en}
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title = {Toward Precision Cognitive Behavioral Therapy via Reinforcement Learning Theory},
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address = {Washington, DC}
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QID: Q98891986},
langid = {en}
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title = {A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education},
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93 citations (Semantic Scholar/DOI) [2024-04-15]},
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43 citations (Semantic Scholar/DOI) [2024-04-15]},
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49 citations (Semantic Scholar/DOI) [2024-04-15]},
langid = {en}
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title = {Zearn Math Curriculum Study Professional Development final report},
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langid = {en}
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