Portrait of Jack Mostow
Emeritus Research Professor
Home Department: RI
Office: 3208 Newell-Simon Hall
Phone: (412) 268-1330
Personal Homepage
Administrative Assistant: Lynnetta J. Miller
Mailing Address

As of 2017 I am leading the RoboTutor team (www.robotutor.org), a $1M Finalist in the Global Learning XPRIZE Competition.  RoboTutor expands on my prior work on Project LISTEN’s Reading Tutor, which listens to children read aloud, to teach writing and numeracy as well.  RoboTutor offers exciting opportunities for interdisciplinary work in intelligent tutors, educational data mining, graphic design, speech technologies, cognitive and motivational psychology, human-computer interaction, computational linguistics, artificial intelligence, and machine learning.

Research Topics

Displaying 114 Publications

2021
Early Prediction of Children’s Disengagement in a Tablet Tutor Using Visual Features
Bikram Boote, Mansi Agarwal, and Jack Mostow
Conference Paper, Proceedings of International Conference on Artificial Intelligence in Education (AIED '21), pp. 98 - 103, June, 2021
2020
Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study
Andrew A. McReynolds, Sheba P. Naderzad, Mononito Goswami, and Jack Mostow
Conference Paper, Proceedings of 7th ACM Conference on Learning @ Scale (L@S '20), pp. 175 - 183, August, 2020
2019
What’s Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System
Mononito Goswami, Shiven Mian, and Jack Mostow
Conference Paper, Proceedings of 33rd National Conference on Artificial Intelligence (AAAI '19) (Student Abstract Track), pp. 9941 - 9942, January, 2019
2018
Relating Children’s Automatically Detected Facial Expressions to Their Behavior in RoboTutor
Mayank Saxena, Rohith Krishnan Pillai, and Jack Mostow
Conference Paper, Proceedings of 32nd AAAI Conference on Artificial Intelligence (AAAI '18), pp. 8151 - 8152, February, 2018
2017
Developing, evaluating, and refining an automatic generator of diagnostic multiple choice cloze questions to assess children's comprehension while reading
Jack Mostow, Yi-Ting Huang, Hyeju Jang, Anders Weinstein, Joe Valeri, and Donna Gates
Journal Article, Natural Language Engineering, Vol. 23, No. 2, pp. 245 - 294, March, 2017
2015
Evaluating human and automated generation of distractors for diagnostic multiple-choice cloze questions to assess children’s reading comprehension
Yi-Ting Huang and Jack Mostow
Conference Paper, Proceedings of International Conference on Artificial Intelligence in Education (AIED '15), pp. 155 - 164, June, 2015
2014
A methodology for using crowdsourced data to measure uncertainty in natural speech
Lara Martin, Matthew Stone, Florian Metze, and Jack Mostow
Workshop Paper, IEEE Spoken Language Technology Workshop (SLT '14), pp. 95 - 99, December, 2014
Toward unobtrusive measurement of reading comprehension using low-cost EEG
Yueran Yuan, Kai-min Chang, Jessica Nelson Taylor, and Jack Mostow
Conference Paper, Proceedings of 4th International Conference on Learning Analytics and Knowledge (LAK '14), pp. 54 - 58, March, 2014
2013
Lessons from Project LISTEN: What Have We Learned from a Reading Tutor That Listens?
Jack Mostow
Conference Paper, Proceedings of International Conference on Artificial Intelligence in Education (AIED '13), pp. 557 - 558, July, 2013
Recognizing Young Readers' Spoken Questions
Wei Chen and Jack Mostow
Journal Article, International Journal of Artificial Intelligence in Education, Vol. 21, No. 4, pp. 255 - 269, April, 2013