Structured and AI-supported peer tutoring in a secondary mathematics class

Date of Publication

2024

Document Type

Master's Thesis

Degree Name

Master of Science in Teaching Major in Mathematics

Subject Categories

Science and Mathematics Education

College

Br. Andrew Gonzalez FSC College of Education

Department/Unit

Science Education

Thesis Advisor

Celina P. Sarmiento

Defense Panel Chair

Minie Rose C. Lapinid

Defense Panel Member

Auxencia A. Limjap
Josephine Luz D. Pineda

Abstract/Summary

This action research investigated the use of structured and AI-supported peer tutoring in learning experiences and practices in Grade 10. This research was conducted at a Chinese Christian school in Pasay City, where approximately 94% of the students are Chinese. The researcher designed and implemented structured and AI-supported peer tutoring to address the learning losses caused by the pandemic, the lack of social interaction among Chinese students due to cultural beliefs, traditional learning strategies, and the unclear integration of AI in mathematics class. The intervention intended to assist both the tutors and tutees in learning. Plan-Do-Study-Act (PDSA) action research methodology was used in this study. The researcher conducted class observations and semi-structured interviews to develop a protocol for implementing structured and AI-supported peer tutoring and to determine how the implementation of structured and AI-supported peer tutoring affects the practices and experiences of the students and the teacher. The researcher and the teacher planned for the structure of peer tutoring and incorporated it into the lesson plans. During the class observations, the researcher recorded anecdotal notes regarding the interactions between the tutees, tutors, and the teacher. The data collected through observations and interviews were analyzed and presented using thematic analysis. The evaluation of the lesson plans, students' long test scores, quarterly exam scores, and final grades were analyzed and presented using descriptive statistics. The results revealed that structured and AI-supported peer tutoring has positive implications in the students' understanding of the lesson, academic performance, study habits, and their relationship with classmates and teachers.

Abstract Format

html

Note

Undated; Publication date supplied.

Language

English

Format

Electronic

Keywords

Peer tutoring; Artificial intelligence—Educational applications; Mathematics—Study and teaching (Secondary)

Upload Full Text

wf_yes

This document is currently not available here.

Share

COinS