A research initiative testing how math narrative's messaging impacts student confidence in mathematics. Using custom-made AI models to analyze text, images, and video to measure confidence in educational settings.
Test the StudyStudent-developed custom AI models analyze multiple indicators to assess confidence levels
This research uses AI-powered analysis to objectively measure confidence indicators across multiple modalities.
Gather confidence data through written responses, video recordings, and images for comprehensive analysis.
AI models provide consistent, unbiased analysis of confidence indicators across all participants.
Generate detailed confidence metrics to help understand the impact of organizational messaging.
Body language and posture analysis provides additional data points beyond written responses.
Monitor changes in student confidence over the study period to measure intervention effectiveness.
All data is handled with strict confidentiality in accordance with research ethics guidelines.
Custom-trained models developed specifically for this research study
Two student-developed custom AI models are used to understand confidence. These models learned from thousands of real examples to recognize patterns that indicate how confident someone feels:
Text Examples Used for Training
Images Used for Training
Ways to Measure Confidence
Time to Get Results
Multiple methods for measuring student math confidence
Share your thoughts in writing, and the AI model analyzes the way something is said and what is being said.
Record a short video, and the AI model analyzes your posture and facial expressions to determine confidence.
Take or upload a photo, and the AI model analyzes your posture and facial expressions to determine confidence.
Join this research study on student math confidence. Your participation helps researchers understand how organizational messaging impacts learning.