Eye Tracking for Educational and Learning Sciences

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Use eye tracking and physiological recordings to analyze students’ social, cognitive and affective skills and assess the efficacy of educational interventions.

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Assess individual variability in students’ attention, learning and memory

Assess individual variability in students’ attention, learning and memory

Educational researchers from various disciplines aim to identify and assess key metrics of students’ attention, learning and memory in the classroom and how these differ across students. To that end, academic researchers, educational agencies and professional educators are using neuroscientific and behavioral approaches for the assessment of traits, skills and environmental factors underlying learning success. Research focuses primarily on attention guidance and information gathering behavior, memory encoding and retrieval as well as problem solving strategies and creativity.

Behavioral correlates of successful social interaction in the classroom

Behavioral correlates of successful social interaction in the classroom

Social skills are key predictors of learning success, both in traditional classroom setups as well as other face-to-face instructional scenarios. Educational researchers investigate social interactions of students among peers or with teachers in order to provide educators with data-driven feedback on instructional and motivational efficacy, and to train their perception and interpretation of potentially problematic classroom interactions in order to prevent conflicts from escalating.

Impact of educational strategies and learning environments

Impact of educational strategies and learning environments

Do students acquire knowledge by reading texts or studying figures? Are learning rates higher in supervised or unsupervised scenarios? Is information stored more persistently when learned from multiple senses? Educational researchers are well aware of the impact of educational strategies and environments on students’ behavioral, cognitive and affective states. A key aim is to generate fundamental knowledge about how instructional environments and material in school, online, in the workplace or at home have to be designed in order to boost individual learning success.

Digital classrooms and technology-enhanced learning

Digital classrooms and technology-enhanced learning

To an increasing amount, students acquire information from digital sources and learn content in technologically-enhanced environments. Educational researchers are exploring the rules and principles of learning in these novel playgrounds, also making use of innovative technologies for systematic behavioral studies under full experimental control, for example in virtual realities and simulations. Currently, adaptive learning systems are constructed which are flexibly adjusting content based on the live-monitoring of students’ behavior and cognitive-emotional states from biosensors such as eye trackers, physiological sensors (EEG, GSR/EDA, ECG) or camera-based facial expression analysis engines.