KnE Social Sciences

ISSN: 2518-668X

The latest conference proceedings on humanities, arts and social sciences.

Analysis of Student Errors in Solving Mathematical Induction Problems in Online Learning

Published date: Apr 26 2024

Journal Title: KnE Social Sciences

Issue title: International Conference on Mathematics and Science Education (ICMScE 2022): Learning Models and Teaching Approaches

Pages: 471–478

DOI: 10.18502/kss.v9i13.15949

Authors:

Eliva Sukma Cipta - elivasukmacipta@upi.edu

Rippi Maya

Didi Suryadi

Sufyani Prabawanto

Abstract:

The research aims to analyze student errors in solving math induction-proof problems during online learning in the Covid 19 era. This was a qualitative research with a case study approach. This research was conducted at the Mathematics Education Study Program of UIN Sunan Gunung Djati Bandung in the academic year 2020/2021, and the subjects of this study being students of semester V Class 2018. The instrument in this study was a test, and data analysis were done using qualitiative anlysis. The results showed that the types of errors experienced by students in working on mathematical induction problems are conceptual errors and procedural errors.

Keywords: online learning, solving mathematical induction problems, student errors

References:

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