Grouping Students by Behavior Helps AI Diagnose What They Know
A new graph-based framework groups similar learners and augments sparse data to improve cognitive diagnosis predictions across three public datasets.
A new graph-based framework groups similar learners and augments sparse data to improve cognitive diagnosis predictions across three public datasets.
A field trial found that moderate foliar nitrogen and phosphorus applied under basal slow-release nitrogen raised rice grain yield by ...
A study of 84 economies from 2003 to 2022 finds that life and non-life insurance, along with digital government, are ...
A comparative study of textile waste management policies in Europe and South Korea found that European nations generally cover broader ...
A survey of 978 users of AI-powered language learning applications found that perceived AI service quality enhances informational, emotional, and ...
A one-season randomized field trial in Kashmir found that silver plastic mulch combined higher soil moisture with a broccoli yield ...
A systematic review and meta-analysis of 39 studies reports pooled AI classification accuracy of 96.8 percent for brain tumor MRI, ...
A quasi-experimental study of 76 preschoolers found an adjusted group difference on one working-memory updating measure after seven weeks of ...
A two-season greenhouse pot trial found that combined poultry manure extract, humic acid and dry yeast produced the highest lavender ...
Laboratory hyperspectral data combined with environmental and satellite covariates improved machine-learning estimates of topsoil organic carbon across Northeast China’s croplands.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine