Affective Assessment Using Social Media

Abstract

The industrial revolution 4.0 has changed the way humans communicate and obtain information. Social interactions occur on social media, like in the real world. A person's attitude and character can be easily assessed through these patterns of social interaction. This research is a semi-systematic review that aims to map and describe various social media-based assessment methods. Data was collected through literature surveys related to affective assessments and studies related to the use of social media in learning and assessment. Data were synthesized with a meta-aggregation synthesis technique. The purpose of this study is to provide a brief overview of the importance of affective assessment, the potential of social media in education, specifically learning and assessment, and present various alternative assessment methods that can be chosen by educators in assessing the affective domain. The results of this study indicate that three theories underlie the use of social media in education, namely sociocultural, distributed cognition, and situated cognition. The benefits that can be obtained from the use of social media in the assessment are flexible, easily repeated, convenient, and easily accessible. Four affective assessment methods can be done through social media, including self-assessment, peer assessment, language pattern analysis, and group assessment. The four assessment methods can be an alternative that can be chosen by the teacher in assessing students using social media.