Peer-Reviewed Publications
Publications about RoboTutor
Saxena, M., Pillai, R., & Mostow, J. (2018). Relating Children's Automatically Detected Facial Expressions to Their Behavior in RoboTutor (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.12190.
Goswami, M., Mian, S., and Mostow, J. (2019). What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System. Proceedings of the AAAI Conference on Artificial Intelligence, 33(1). https://doi.org/10.1609/aaai.v33i01.33019941.
Mian, S., Goswami, M., and Mostow, J. (2019). What’s Most Broken? Design and Evaluation of a Tool to Guide Improvement of an Intelligent Tutor. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds) Artificial Intelligence in Education. Lecture Notes in Computer Science, vol 11625. Springer, Cham. https://doi.org/10.1007/978-3-030-23204-7_24.
Agarwal, M., and Mostow, J. (2020).Semi-Supervised Learning to Perceive Children's Affective States in a Tablet Tutor. Proceedings of the AAAI Conference on Artificial Intelligence 34(9). https://doi.org/10.1609/aaai.v34i09.7057.
McReynolds, A. A., Naderzad, S. P., Goswami, M., and Mostow, J. (2020). Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study. Proceedings of 7th ACM Conference on Learning @ Scale (L@S '20), pp. 175 - 183, August 12–14, 2020, Virtual Event, USA. https://doi.org/10.1145/3386527.3405920.
Boote, B., Agarwal, M., and Mostow, J. (2021). Early Prediction of Children's Task Completion in a Tablet Tutor using Visual Features (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 35(18). https://doi.org/10.1609/aaai.v35i18.17877.
Types of Project LISTEN research studies
Test overall effects by comparing pre- to post-test gains to control treatment(s)
- Reading Tutor rivaled human tutors in some skills (JECR03)
- Reading Tutor beat Sustained Silent Reading (JECR07, JECR13)
- Reading Tutor helped ELLs in Canada (IDEC09), Ghana (ITID10), India (Dev10)
Assess student skills, validating on performance in tutor and on gold standard tests
- Cloze questions predict vocabulary and comprehension (TICL04)
- Prosody predicts proficiency (CALICO04, TICL04, TSLP11)
- LR-DBN subskill tracing cuts prediction error in half (*EDM12)
Identify important variables using correlational analyses
- Gains decrease with time spent picking stories (ITS02)
- Labs average higher usage than classrooms (Scale-up 07)
Compare types of practice using growth curve micro-analyses
- Wide reading builds fluency faster than rereading (SSSR05, ITS08)
- Students gained more from stories they picked (AIED07)
Evaluate tutor interventions using randomized within-subject experiments
- Test effects of vocabulary intervention on taught vs. untaught words (ETS02)
- Compare effects of tutor help on next encounter of word (SSSR04, ICALL04, *AIED13)
Mine tutor logs to discover useful knowledge
- Identify prosodic indicators of reading gains (*FLAIRS12)
* Best Paper or Nominee