Editorial: special issue on learning from imbalanced data sets
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Learning to Decode Cognitive States from Brain Images
Machine Learning
International Journal of Human-Computer Studies
EEG estimates of engagement and cognitive workload predict math problem solving outcomes
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Towards using EEG to improve ASR accuracy
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Generating diagnostic multiple choice comprehension cloze questions
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
NeuroPlace: making sense of a place
Proceedings of the 4th Augmented Human International Conference
ARTFul: adaptive review technology for flipped learning
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Toward Exploiting EEG Input in a Reading Tutor
International Journal of Artificial Intelligence in Education - Best of AIED 2011
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A new type of sensor for students' mental states is a single-channel EEG headset simple enough to use in schools. Using its signal from adults and children reading text and isolated words, both aloud and silently, we train and test classifiers to tell easy from hard sentences, and to distinguish among easy words, hard words, pseudo-words, and unpronounceable strings. We also identify which EEG components appear sensitive to which lexical features. Better-than-chance performance shows promise for tutors to use EEG at school.