The Real Merit Protocol relies on a network of sensors and data streams to capture a student’s learning context, including physiological, behavioral, environmental, digital, and extracurricular factors. Continuous observation provides deeper insight into how a learner’s surroundings intersect with cognitive and emotional states.
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Sensor and Data Source Inventory
- 1: Biological Sensors
- 2: Behavioral Sensors
- 3: Environmental Sensors
- 4: Digital Interaction Sources
- 5: Social-Emotional Data Sources
- 6: Extracurricular Data Sources
1 - Biological Sensors
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Heart Rate Monitors: Capture heart rate data to gauge stress, engagement, or physiological alertness.
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Blood Oxygen Sensors: Measure oxygen saturation for insights into health and wellness.
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Temperature Sensors: Track body temperature to highlight stress or sleep quality factors.
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EDA Sensors: Monitor skin conductivity for emotional arousal or stress cues.
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EEG Sensors: Record brainwave patterns using non-invasive headsets, clarifying how learners focus and process information.
2 - Behavioral Sensors
- Cameras: Analyze posture, gestures, and micro-expressions to identify engagement or confusion.
- Microphones: Record speech elements such as tone, speed, or volume.
- Eye-Tracking Devices: Trace visual attention on learning materials or instructor displays.
- Touchscreens and Keyboards: Log typing speed, error rates, or usage patterns.
- Wearable Devices: Collect aggregated data like physical activity or movement, adding contextual support to a classroom profile.
3 - Environmental Sensors
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GPS Trackers: Link learning performance to specific locations.
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Ambient Light Sensors: Identify lighting conditions that may impact studying or focus.
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Noise Level Sensors: Determine how sound disruptions affect concentration.
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Air Quality Sensors: Assess CO₂ or particulate levels that might influence cognition.
4 - Digital Interaction Sources
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Learning Management Systems (LMS): Record login times, assignment submissions, and content usage patterns.
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Educational Software Usage: Monitor time spent on practice platforms to detect strengths or weaknesses.
5 - Social-Emotional Data Sources
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Emotional Assessments: Gather subjective ratings or surveys on well-being, mindset, or emotional states.
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Collaboration Data: Observe group project interactions or peer feedback to evaluate teamwork and communication.
6 - Extracurricular Data Sources
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Activity Records: Document involvement in sports, clubs, volunteer work, or leadership roles.
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Achievement Logs: Track recognitions, competitions, or community accomplishments.