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RQ 1: How to detect Off-task Behavior in Self-directed Distance Learning…
RQ 1: How to detect Off-task Behavior in Self-directed Distance Learning with Smart Wearables?
Previous Research
Structured literature review
Qualitative interview study
Context detection infrastructure
Physical Learning Environment
Cognitive effects
Physiological effects
Affective effects
Mobile sensing with Smart Wearables
Attentional engagement
Attentional disengagement
Off-task behavior
RQ1.1: Under which contextual circumstances are learners engaging in off-task behavior?
RQ1.2: How can we derive indicators out of multimodal sensor data from smart wearables to detect off-task behavior?
EDUTEX
Multimodal sensors
Physical behavior
Device usage
Physical environment
Physiological signals
Self-reports
Pre-, in-, post-session questionnaires
Scheduled prompts
Field study
Students at home
Self-directed learning
Smart wearables
Students tracking learning sessions themselves
Recording sensor data with self-reports
Lab study
DIPF room
Instructed device and app usage
Questionnaires
Physical learning environment
Non-multimedia off-task activities in learning sessions
Multimedia off-task activities in learning sessions
Reasons for off-task behavior
Instructed off-task activities
Hand activities
Modalities
Learning related activities
Body activities
Movement
Posture
Extraneous disturbances
Data Usage
Insights into learning context
Off-task behavior detection
Data storytelling dashboard