Mining learner behavior patterns sharpens adaptive English learning paths
A study of 1,000 university learners identified four distinct online English learning behavior patterns and showed that feeding them into ...
A study of 1,000 university learners identified four distinct online English learning behavior patterns and showed that feeding them into ...
A study of 138 elementary students in Jakarta shows that interaction traces from VR-integrated e-modules can predict self-regulated learning with ...
A multi-method study identified stage-specific engagement profiles among students using a GAI-supported programming platform with a learner-facing learning analytics tool.
A multiple-case study of Chinese higher vocational colleges traces how AI curriculum reform goals are translated through platforms, indicators, and ...
A design science study proposes DDDM-FRAME, an untested six-layer conceptual model that embeds privacy, fairness, transparency and accountability throughout data-driven ...
A conceptual study proposes a five-pillar AI-UDL framework for Kuwaiti higher education, while emphasizing that governance, faculty preparation and empirical ...
A cross-sectional survey of 476 Indian education practitioners found that real-time analytics had the strongest association with adaptive digital assessment ...
A quasi-experimental study of 357 online programming learners found that teacher-governed LLM scaffolding was associated with stronger formative practice and ...
A single-university study found that jointly predicting semester course sets and grades reduced a Transformer’s mean absolute grade-prediction error by ...
A new conceptual framework from Kuwait argues that AI and learning analytics can transform support for students with learning difficulties ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine