Rosa H Mulder, Robert Kraaij, Isabel K Schuurmans, Carlos Frances-Cuesta, Yolanda Sanz, Carolina Medina-Gomez, Liesbeth Duijts, Fernando Rivadeneira, Henning Tiemeier, Vincent W V Jaddoe, Janine F Felix, Charlotte A M Cecil
Early-life stress and the gut microbiome: A comprehensive population-based investigation
Brain, behavior, and immunity
health data science hds novel interdisciplinary field integrates biological clinical computational sciences aim analysing clinical biological data utilisation computational methods training healthcare specialists knowledgeable health data sciences highly required important challenging therefore essential analyse students learning experiences artificial intelligence techniques order provide teachers learners insights effective learning strategies improve existing hds course designs applied artificial intelligence methods uncover learning tactics strategies employed students hds massive open online course 3000 students enrolled also used statistical tests explore students engagement different resources reading materials lecture videos level engagement various hds topics found students hds employed four learning tactics actively connecting new information prior knowledge taking assessments practising programming evaluate understanding collaborating classmates repeating information memorise based employed tactics also found three types learning strategies including low engagement surface learners moderate engagement strategic learners high engagement deep learners line wellknown educational theories results indicate successful students allocate time practical topics projects discussions make connections among concepts employ peer learning applied artificial intelligence techniques provide new insights hds education based findings provide pedagogical suggestions course designers also teachers learners potential improve learning experience hds students