Characterizing University Students’ Geometric Thinking Through Dialogues with Generative Artificial Intelligence in Geometry Transformation Learning

Generative Artificial Intelligence (GenAI) has emerged as a promising technology for supporting mathematical dialogue, feedback, and reasoning in mathematics education. However, research has paid limited attention to how university students’ geometric thinking develops through sustained interaction with GenAI, particularly in geometry transformation learning. This study aims to develop a Dialogic Geometric Thinking Framework that characterizes the dimensions and progression of university students’ geometric thinking during sustained dialogue with ChatGPT. A qualitative exploratory design was employed involving undergraduate mathematics education students enrolled in a Geometry Transformation course at an Indonesian public university. Data were collected from student–ChatGPT dialogue transcripts, students’ written solutions, and reflective interviews. The data were analyzed thematically using reflexive thematic analysis to identify recurring characteristics and relationships among dimensions of geometric thinking and to synthesize them into an integrated framework. The findings identified five interrelated dimensions of geometric thinking: conceptual reasoning, representational coordination, procedural justification, reflective regulation, and mathematical elaboration. These dimensions illustrate how students progressively articulate mathematical concepts, coordinate representations, justify solution procedures, evaluate their reasoning, and extend mathematical ideas during AI-mediated dialogue. The study resulted in a Dialogic Geometric Thinking Framework that provides a process-oriented perspective on the development of university students’ geometric thinking during interaction with GenAI. The framework offers an initial theoretical foundation for understanding and further investigating geometric thinking in AI-mediated mathematics learning. Keywords: geometric thinking, generative artificial intelligence, chatGPT, geometry transformation, mathematical dialogue.

Authors

Publication Details

Journal
Jurnal Pendidikan Progresif
Published
2026-11-12
DOI
https://doi.org/10.23960/jpp.v16i4.pp2220-2243
Primary Topic
Mathematics Education and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Characterizing University Students’ Geometric Thinking Through Dialogues with Generative Artificial Intelligence in Geometry Transformation Learning

Fashihah Fashihah, Vena Agustina, Puput Relitasari
Jurnal Pendidikan Progresif
Mathematics Education and Pedagogy
article

Characterizing University Students’ Geometric Thinking Through Dialogues with Generative Artificial Intelligence in Geometry Transformation Learning

Fashihah Fashihah, Vena Agustina, Puput Relitasari
article en

Abstract

Generative Artificial Intelligence (GenAI) has emerged as a promising technology for supporting mathematical dialogue, feedback, and reasoning in mathematics education. However, research has paid limited attention to how university students’ geometric thinking develops through sustained interaction with GenAI, particularly in geometry transformation learning. This study aims to develop a Dialogic Geometric Thinking Framework that characterizes the dimensions and progression of university students’ geometric thinking during sustained dialogue with ChatGPT. A qualitative exploratory design was employed involving undergraduate mathematics education students enrolled in a Geometry Transformation course at an Indonesian public university. Data were collected from student–ChatGPT dialogue transcripts, students’ written solutions, and reflective interviews. The data were analyzed thematically using reflexive thematic analysis to identify recurring characteristics and relationships among dimensions of geometric thinking and to synthesize them into an integrated framework. The findings identified five interrelated dimensions of geometric thinking: conceptual reasoning, representational coordination, procedural justification, reflective regulation, and mathematical elaboration. These dimensions illustrate how students progressively articulate mathematical concepts, coordinate representations, justify solution procedures, evaluate their reasoning, and extend mathematical ideas during AI-mediated dialogue. The study resulted in a Dialogic Geometric Thinking Framework that provides a process-oriented perspective on the development of university students’ geometric thinking during interaction with GenAI. The framework offers an initial theoretical foundation for understanding and further investigating geometric thinking in AI-mediated mathematics learning. Keywords: geometric thinking, generative artificial intelligence, chatGPT, geometry transformation, mathematical dialogue.

Jurnal Pendidikan ProgresifVol. 16(4)
Mathematics Education and Pedagogy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon