Procedures for online peer assessment: Assessing algorithm problems in school mathematics for future teachers

Abstract

This action research study explored how peer assessment can help students and teachers evaluate algorithm problem-solving skills in mathematics. The study used a self- and peer-assessment activity in Moodle to assess 18 out of 40 Grade X students (10 boys and eight girls) from a Kathmandu Valley, Nepal school. The students solved algorithm problems in arithmetic, algebra, statistics, and geometry. The study followed the action research methodology of planning, implementing, assessing, and discussing the interventions and outcomes. The results show that workshop activity can engage students in solving algorithm problems in mathematics. The study also discusses how cognitive and constructivist theories can explain some of this activity's unique aspects and potential uses. Moreover, the study highlights the benefits and challenges of self- and peer-assessment in mathematics for enhancing students' interest and abilities in the classroom. The study suggests students can develop analytical and evaluative skills using evaluation criteria to assess their peers' work. The study also implies that students are proactive, critical, and collaborative learners who can use self-and peer assessment to improve their mathematical abilities to solve algorithm problems in the classroom.