Learning analytics messages: Impact of grade, sender, comparative information and message style on student affect and academic resilience

作者：

Highlights：

• Learning analytics enable automated feedback to students through alerts.

• Limited research has examined the impact of alerts on student affect and resilience.

• We manipulated various features of hypothetical learning analytics alerts.

• We found differences in student affect and resilience based on hypothetical grades.

• Message content, style and sender did not impact on student affect and resilience.

摘要

•Learning analytics enable automated feedback to students through alerts.•Limited research has examined the impact of alerts on student affect and resilience.•We manipulated various features of hypothetical learning analytics alerts.•We found differences in student affect and resilience based on hypothetical grades.•Message content, style and sender did not impact on student affect and resilience.

论文关键词：Learning analytics,Academic resilience,Feedback,Educational technology,Feedback recipience

论文评审过程：Received 22 November 2017, Revised 12 July 2018, Accepted 15 July 2018, Available online 20 July 2018, Version of Record 27 July 2018.

论文官网地址：https://doi.org/10.1016/j.chb.2018.07.021