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Anthony Botelho
Titolo
Citata da
Citata da
Anno
Improving sensor-free affect detection using deep learning
AF Botelho, RS Baker, NT Heffernan
International conference on artificial intelligence in education, 40-51, 2017
882017
Incorporating rich features into deep knowledge tracing
L Zhang, X Xiong, S Zhao, A Botelho, NT Heffernan
Proceedings of the fourth (2017) ACM conference on learning@ scale, 169-172, 2017
852017
A memory-augmented neural model for automated grading
S Zhao, Y Zhang, X Xiong, A Botelho, N Heffernan
Proceedings of the fourth (2017) ACM conference on learning@ scale, 189-192, 2017
572017
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors.
AF Botelho, RS Baker, J Ocumpaugh, NT Heffernan
International Educational Data Mining Society, 2018
352018
Developing early detectors of student attrition and wheel spinning using deep learning
AF Botelho, A Varatharaj, T Patikorn, D Doherty, SA Adjei, JE Beck
IEEE Transactions on Learning Technologies 12 (2), 158-170, 2019
262019
The automated grading of student open responses in mathematics
JA Erickson, AF Botelho, S McAteer, A Varatharaj, NT Heffernan
Proceedings of the Tenth International Conference on Learning Analytics …, 2020
212020
The prediction of student first response using prerequisite skills
A Botelho, H Wan, N Heffernan
Proceedings of the Second (2015) ACM Conference on Learning@ Scale, 39-45, 2015
212015
Using big data to sharpen design-based inference in A/B tests
A Sales, AF Botelho, T Patikorn, NT Heffernan
Proceedings of the Eleventh International Conference on Educational Data Mining, 2018
182018
Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures
SA Adjei, AF Botelho, NT Heffernan
Proceedings of the sixth international conference on learning analytics …, 2016
182016
The implications of a subtle difference in the calculation of affect dynamics
S Karumbaiah, J Andres, AF Botelho, RS Baker, JS Ocumpaugh
26th International Conference for Computers in Education, 2018
152018
Improving Automated Scoring of Student Open Responses in Mathematics.
S Baral, AF Botelho, JA Erickson, P Benachamardi, NT Heffernan
International Educational Data Mining Society, 2021
102021
Toward Personalizing Students' Education with Crowdsourced Tutoring
E Prihar, T Patikorn, A Botelho, A Sales, N Heffernan
Proceedings of the Eighth ACM Conference on Learning@ Scale, 37-45, 2021
82021
Blending learning analytics and embodied design to model students’ comprehension of measurement using their actions, speech, and gestures
AH Closser, JA Erickson, H Smith, A Varatharaj, AF Botelho
International Journal of Child-Computer Interaction 32, 100391, 2022
62022
Precise unbiased estimation in randomized experiments using auxiliary observational data
JA Gagnon-Bartsch, AC Sales, E Wu, AF Botelho, JA Erickson, ...
arXiv preprint arXiv:2105.03529, 2021
62021
Using Past Data to Warm Start Active Machine Learning: Does Context Matter?
S Karumbaiah, A Lan, S Nagpal, RS Baker, A Botelho, N Heffernan
LAK21: 11th International Learning Analytics and Knowledge Conference, 151-160, 2021
62021
Machine-learned or expert-engineered features? Exploring feature engineering methods in detectors of student behavior and affect
AF Botelho, RS Baker, NT Heffernan
The twelfth international conference on educational data mining, 2019
62019
Refusing to try: Characterizing early stopout on student assignments
AF Botelho, A Varatharaj, EGV Inwegen, NT Heffernan
Proceedings of the 9th international conference on learning analytics …, 2019
62019
Observing personalizations in learning: Identifying heterogeneous treatment effects using causal trees
B Yin, T Patikorn, AF Botelho, NT Heffernan
Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 299-302, 2017
42017
Sequencing content in an adaptive testing system: the role of choice
SA Adjei, AF Botelho, NT Heffernan
Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017
42017
Modeling Interactions across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships.
AF Botelho, SA Adjei, NT Heffernan
International Educational Data Mining Society, 2016
42016
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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