Student profiling in a dispositional learning analytics application using formative assessment
作者：
Highlights：
• Formative assessment data have high predictive power in generating learning feedback.
• Learning disposition data are most actionable: triggering educational interventions.
• Dispositional LA is instrumental in chaining dispositions, traces, performance.
• Student profiling based on traces allows characterization in terms of dispositions.
摘要
•Formative assessment data have high predictive power in generating learning feedback.•Learning disposition data are most actionable: triggering educational interventions.•Dispositional LA is instrumental in chaining dispositions, traces, performance.•Student profiling based on traces allows characterization in terms of dispositions.
论文关键词：Learning analytics,Formative assessment,Learning dispositions,Dispositional learning analytics,e-tutorial
论文评审过程：Received 10 February 2017, Revised 25 July 2017, Accepted 5 August 2017, Available online 8 August 2017, Version of Record 20 November 2017.
论文官网地址：https://doi.org/10.1016/j.chb.2017.08.010
