Shamya Karumbaiah

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	Wszystkie	Od 2020
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h-indeks	17	17
i10-indeks	23	22

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Ryan BakerUniversity of PennsylvaniaZweryfikowany adres z upenn.edu
Jaclyn OcumpaughAssociate Director, Penn Center for Learning Analytics, University of PennsylvaniaZweryfikowany adres z upenn.edu
Alexandra L. AndresUniversity of PennsylvaniaZweryfikowany adres z gse.upenn.edu
Scott Andrew CrossleySpecial Education/Data Science Institute, Vanderbilt UniversityZweryfikowany adres z vanderbilt.edu
Matthew J LabrumSenior Business Intelligence Engineer, Imagine LearningZweryfikowany adres z imaginelearning.com
Vincent AlevenProfessor of Human-Computer Interaction, Carnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Benjamin NyeUniversity of Southern California, Institute for Creative TechnologiesZweryfikowany adres z ict.usc.edu
Kallirroi GeorgilaUniversity of Southern CaliforniaZweryfikowany adres z ict.usc.edu
Mark CoreUniversity of Southern CaliforniaZweryfikowany adres z ict.usc.edu
Valerie ShuteFlorida State UniversityZweryfikowany adres z fsu.edu
Ryan WrightUniversity of VirginiaZweryfikowany adres z virginia.edu
Matthew L. JensenUniversity of OklahomaZweryfikowany adres z ou.edu
Gautam BiswasCornelius Vanderbilt Professor of Engineering; Professor of Computer Science and EngineeringZweryfikowany adres z vanderbilt.edu
Stefan SlaterUniversity of PennsylvaniaZweryfikowany adres z gse.upenn.edu
Luc PaquetteAssociate Professor, University of Illinois at Urbana-ChampaignZweryfikowany adres z illinois.edu
Nigel BoschSchool of Information Sciences and Department of Educational Psychology, University of IllinoisZweryfikowany adres z illinois.edu
Anabil MunshiEdmentum, Vanderbilt UniversityZweryfikowany adres z vanderbilt.edu
Conrad BorchersCarnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
Anthony BotelhoUniversity of FloridaZweryfikowany adres z coe.ufl.edu
Jeffrey MatayoshiMcGraw Hill ALEKSZweryfikowany adres z aleks.com

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Shamya Karumbaiah

Assistant Professor, University of Wisconsin-Madison

Zweryfikowany adres z wisc.edu - Strona główna

Learning Analytics Learning Sciences Algorithmic Bias Human-Centered AI


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Addressing Student Behavior and Affect with Empathy and Growth Mindset S Karumbaiah, R Lizarralde, D Allessio, B Woolf, I Arroyo, N Wixon International Educational Data Mining Conference, 2017	51	2017
Affect sequences and learning in Betty's Brain JMAL Andres, J Ocumpaugh, RS Baker, S Slater, L Paquette, Y Jiang, ... Proceedings of the 9th International Conference on Learning Analytics …, 2019	48	2019
Four paradigms in learning analytics: Why paradigm convergence matters RS Baker, D Gašević, S Karumbaiah Computers and Education: Artificial Intelligence 2, 100021, 2021	42	2021
Predicting Quitting in Students Playing a Learning Game S Karumbaiah, RS Baker, V Shute International Educational Data Mining Conference, 2018	38	2018
Using Demographic Data as Predictor Variables: A Questionable Choice. RS Baker, L Esbenshade, J Vitale, S Karumbaiah Journal of Educational Data Mining 15 (2), 22-52, 2023	34	2023
Improving phishing reporting using security gamification ML Jensen, RT Wright, A Durcikova, S Karumbaiah Journal of Management Information Systems 39 (3), 793-823, 2022	33	2022
Predicting math identity through language and click-stream patterns in a blended learning mathematics program for elementary students. SA Crossley, S Karumbaiah, J Ocumpaugh, MJ Labrum, RS Baker Journal of Learning Analytics 7 (1), 19-37, 2020	30	2020
Context matters: Differing implications of motivation and help-seeking in educational technology S Karumbaiah, J Ocumpaugh, RS Baker International Journal of Artificial Intelligence in Education 32 (3), 685-724, 2022	29	2022
Using epistemic networks with automated codes to understand why players quit levels in a learning game S Karumbaiah, RS Baker, A Barany, V Shute Advances in Quantitative Ethnography: First International Conference, ICQE …, 2019	26	2019
A Re-Analysis and Synthesis of Data on Affect Dynamics in Learning S Karumbaiah, RS Baker, J Ocumpaugh, A Andres IEEE Transactions on Affective Computing, 2021	25	2021
The Implications of a Subtle Difference in the Calculation of Affect Dynamics S KARUMBAIAH, JMAL ANDRES, AF BOTELHO, RS BAKER, ... International Conference on Computers in Education, 2018	25	2018
Using reinforcement learning to optimize the policies of an intelligent tutoring system for interpersonal skills training K Georgila, MG Core, BD Nye, S Karumbaiah, D Auerbach, M Ram Proceedings of the 18th International Conference on Autonomous Agents and …, 2019	23	2019
Phishing training: a preliminary look at the effects of different types of training S Karumbaiah, RT Wright, A Durcikova, ML Jensen	23	2016
The Case of Self-Transitions in Affective Dynamics S Karumbaiah, RS Baker, J Ocumpaugh International Conference on Artificial Intelligence in Education, 2019	22	2019
Using Past Data to Warm Start Active Machine Learning: Does Context Matter? S Karumbaiah, A Lan, S Nagpal, RS Baker, A Botelho, N Heffernan ACM LAK21: 11th International Learning Analytics and Knowledge Conference …, 2021	20	2021
Predicting math success in an online tutoring system using language data and click-stream variables: A longitudinal analysis S Crossley, S Karumbaiah, J Ocumpaugh, MJ Labrum, RS Baker 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019	19	2019
Engaging with the scenario: Affect and facial patterns from a scenario-based intelligent tutoring system BD Nye, S Karumbaiah, ST Tokel, MG Core, G Stratou, D Auerbach, ... Artificial Intelligence in Education: 19th International Conference, AIED …, 2018	19	2018
The Influence of School Demographics on the Relationship Between Students’ Help-Seeking Behavior and Performance and Motivational Measures S Karumbaiah, J Ocumpaugh, RS Baker International Educational Data Mining Conference 4, 16, 2019	17	2019
Adjusting the L statistic when self-transitions are excluded in affect dynamics J Matayoshi, S Karumbaiah Journal of Educational Data Mining 12 (4), 1-23, 2020	16	2020
How does students’ affect in virtual learning relate to their outcomes? A systematic review challenging the positive-negative dichotomy S Karumbaiah, R Baker, Y Tao, Z Liu LAK22: 12th International Learning Analytics and Knowledge Conference, 24-33, 2022	13	2022

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