Difference between revisions of "Engagement and Affect Detection"
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* Models detecting student affective states (boredom, confusion, engaged concentration, frustration) from the interaction with ASSISTment system | * Models detecting student affective states (boredom, confusion, engaged concentration, frustration) from the interaction with ASSISTment system | ||
* Study involved urban, rural, and suburban learners | |||
* Detectors generally performed the best for the same subpopulation that they were trained on (average kappa = 0.26, A′ = 0.67), and worse for other subpopulations (average kappa = 0.03 and A′ = 0.52) | * Detectors generally performed the best for the same subpopulation that they were trained on (average kappa = 0.26, A′ = 0.67), and worse for other subpopulations (average kappa = 0.03 and A′ = 0.52) | ||
* Detectors trained on combined population generally performed better for urban and suburban population (kappa = 0.18, 0.16; A′ = 0.62, 0.66) and not as well for rural population (kappa = 0.06; A′ = 0.54) | * Detectors trained on combined population generally performed better for urban and suburban population (kappa = 0.18, 0.16; A′ = 0.62, 0.66) and not as well for rural population (kappa = 0.06; A′ = 0.54) | ||
Revision as of 05:09, 10 June 2022
Ocumpaugh et al. (2014) pdf
- Models detecting student affective states (boredom, confusion, engaged concentration, frustration) from the interaction with ASSISTment system
- Study involved urban, rural, and suburban learners
- Detectors generally performed the best for the same subpopulation that they were trained on (average kappa = 0.26, A′ = 0.67), and worse for other subpopulations (average kappa = 0.03 and A′ = 0.52)
- Detectors trained on combined population generally performed better for urban and suburban population (kappa = 0.18, 0.16; A′ = 0.62, 0.66) and not as well for rural population (kappa = 0.06; A′ = 0.54)