Jia-Ming Huan, Xiao-Jie Wang, Yuan Li, Shi-Jun Zhang, Yuan-Long Hu, Yun-Lun Li
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data
BioData mining
paper aims evaluate discuss digital competence academics universities identify challenges define recommendations policy study conducted collaboration joint research centre jrc european commission metared universia foundation surveying 30407 participants present perceptions digital competence levels selfreflections took place universities seven countries namely argentina brazil colombia chile peru mexico portugal used checkin tool consists 22 questions based european framework digital competence educatorsor digcompedu framework descriptive statistical analysis performed followed qualitative evaluation almost 70 academics average intermediate level competence data aggregated results varying digcompedu area according specific question asked significant difference young senior academics well men women results present discussion whether age gender educators work environment impact digital competence level time highlights areas educators perceive least competent shows amount institutional support offered affects academics perceptions level digital competence basis results recommendations presented highereducation institutions aim supporting professional development academics