Published date: Sep 28 2022

Journal Title: KnE Social Sciences

Issue title: 4th International Conference on Education and Social Science Research (ICESRE)

Pages: 545–554

DOI: 10.18502/kss.v7i14.12008

Retno Murniasihtretnom@unikama.ac.idUniversitas PGRI Kanjuruhan Malang, Indonesia

Rosita Dwi Ferdiani1Universitas PGRI Kanjuruhan Malang, Indonesia

Djoko Adi SusiloUniversitas PGRI Kanjuruhan Malang, Indonesia

Imam SujadiUniversitas Sebelas Maret. Jl. Ir. Sutami No. 36 Kentingan. Kecamatan Jebres. Kota Surakarta, 57126, Indonesia

Laili FitrianaUniversitas Sebelas Maret. Jl. Ir. Sutami No. 36 Kentingan. Kecamatan Jebres. Kota Surakarta, 57126, Indonesia

Statistics is taught in schools, but students commonly make mistakes when faced with statistical problems. This study aimed to describe the errors made by student teacher candidates when solving statistical problems using e-learning media. A qualitative descriptive approach was used. Questionnaires and interviews were used to collect the data. 20 students were asked questions via e-learning media. Based on student errors, 4 students were selected for interviews. These interviews were conducted via WhatsApp. The APOS mental mechanism was used in the error analysis tool, which had five stages: interiorization, coordination, reversal, encapsulation, and deencapsulation. According to the findings, the three biggest mistakes were made during the de-encapsulation, reversal, and encapsulation stages. To overcome student errors, online computer-assisted learning using moving object animation is recommended.

Keywords: e-learning, student teacher candidate errors, statistics

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