Individualized learning potential in stressful times: How to leverage intensive longitudinal data to inform online learning
作者：
Highlights：
• Stressful societal events impact the learning and education of individuals.
• Intensive longitudinal methods can reveal individual-level effects.
• Regression analyses facilitate generalization but obscure individual-level effects.
• Multilevel models offer within-person insights limited by between-person effects.
• Person-specific networks reveal processes unique to individuals.
摘要
•Stressful societal events impact the learning and education of individuals.•Intensive longitudinal methods can reveal individual-level effects.•Regression analyses facilitate generalization but obscure individual-level effects.•Multilevel models offer within-person insights limited by between-person effects.•Person-specific networks reveal processes unique to individuals.
论文关键词：GIMME,Macro-level stressors,Multilevel models,Regression analyses,Verbal recall
论文评审过程：Received 14 October 2020, Revised 3 February 2021, Accepted 1 March 2021, Available online 4 March 2021, Version of Record 16 March 2021.
论文官网地址：https://doi.org/10.1016/j.chb.2021.106772
