Detection of cognitive and attention dimensions in block programming interface for learning sensor data analytics in construction education

•Learners’ focus and difficulty in block-based coding are detected via eye-tracking.•Ensemble model outperforms other models on seven eye movement features.•Gaze position and pupil diameter emerge as key predictors.•Implications, challenges, and strategies for bridging skill gaps are discussed. The...

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Veröffentlicht in:	International journal of human-computer studies Jg. 205; S. 103626
Hauptverfasser:	Khalid, Mohammad, Akanmu, Abiola, Awolusi, Ibukun, Murzi, Homero
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2025
Schlagworte:	Block programming Construction data analytics Eye-tracking Machine learning Pedagogy Sensors Block programming Pedagogy Sensors Construction data analytics Eye-tracking Machine learning
ISSN:	1071-5819
Online-Zugang:	Volltext
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