ERIC Number: EJ1096873
Record Type: Journal
Publication Date: 2016-Jun
Abstractor: As Provided
Giving Eyesight to the Blind: Towards Attention-Aware AIED
D'Mello, Sidney K.
International Journal of Artificial Intelligence in Education, v26 n2 p645-659 Jun 2016
There is an inextricable link between attention and learning, yet AIED systems in 2015 are largely blind to learners' attentional states. We argue that next-generation AIED systems should have the ability to monitor and dynamically (re)direct attention in order to optimize allocation of sparse attentional resources. We present some initial ideas towards achieving this goal, starting with a 2 × 2 (direction of attention × content of thoughts) organizational framework that encapsulates a range of attentional states including overt inattention, covert inattention, zone outs, tune outs, and focused, alternating, and divided attention. We then sketch out a three component attentional computing architecture consisting of: (1) devices to monitor where attention appears to be directed; (2) mechanisms for real-time attentional state diagnosis; and (3) interventions to dynamically (re)direct attention. We describe two closed-loop attention-aware AIED systems to serve as concrete renditions of these ideas. We conclude by arguing that AIED can achieve the dual goals of advancing basic research on the science of learning while simultaneously developing highly-effective AIED systems by "attending to attention."
Descriptors: Artificial Intelligence, Attention, Eye Movements, Attention Control, Learning Processes, Locus of Control, Case Studies, Learning Strategies, Intervention
Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: firstname.lastname@example.org; Web site: http://www.springerlink.com
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: DRL1235958; IIS1523091