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Journal : Jurnal Elemen

Kemampuan Pemecahan Masalah Mahasiswa pada Kalkulus Integral Dilihat dari Keyakinan dan Pengetahuan Awal Matematis Soesanto, Robert Harry; Dirgantoro, Kurnia Putri Sepdikasari
Jurnal Elemen Vol 7, No 1 (2021): Jurnal Elemen
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Integral calculus is a course where students tend to have difficulties in problem-solving. This study examines differences in mathematical beliefs in students' problem-solving skills based on mathematics prior knowledge. This study's subjects were 120 students of the Mathematics Education study program from UPH Faculty of Education. The independent variable is mathematical beliefs, the moderator variable is prior mathematics knowledge, and the dependent variable is students' problem-solving skills. This study is an ex post facto quantitative research with instruments in a Likert scale questionnaire for mathematical beliefs, problem-solving, and mathematics prior knowledge test scores. Hypotheses were tested statistically with a two-way Anova test using SPSS 16.0. The results of the study were: (1) students' problem-solving of logical consistency beliefs is higher than memorized and procedural beliefs, (2) there is an interaction between mathematical beliefs and mathematics prior knowledge on problem-solving, (3) students' problem-solving in high mathematics prior knowledge group of logical consistency beliefs is higher than memorized, and procedural beliefs, and (4) students' problem-solving in low mathematics prior knowledge group of logical consistency beliefs is lower than memorized and procedural beliefs.
Kemampuan Pemecahan Masalah Mahasiswa pada Kalkulus Integral Dilihat dari Keyakinan dan Pengetahuan Awal Matematis Robert Harry Soesanto; Kurnia Putri Sepdikasari Dirgantoro
Jurnal Elemen Vol 7, No 1 (2021): January
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jel.v7i1.2899

Abstract

Integral calculus is a course where students tend to have difficulties in problem-solving. This study examines differences in mathematical beliefs in students' problem-solving skills based on mathematics prior knowledge. This study's subjects were 120 students of the Mathematics Education study program from UPH Faculty of Education. The independent variable is mathematical beliefs, the moderator variable is prior mathematics knowledge, and the dependent variable is students' problem-solving skills. This study is an ex post facto quantitative research with instruments in a Likert scale questionnaire for mathematical beliefs, problem-solving, and mathematics prior knowledge test scores. Hypotheses were tested statistically with a two-way Anova test using SPSS 16.0. The results of the study were: (1) students' problem-solving of logical consistency beliefs is higher than memorized and procedural beliefs, (2) there is an interaction between mathematical beliefs and mathematics prior knowledge on problem-solving, (3) students' problem-solving in high mathematics prior knowledge group of logical consistency beliefs is higher than memorized, and procedural beliefs, and (4) students' problem-solving in low mathematics prior knowledge group of logical consistency beliefs is lower than memorized and procedural beliefs.
Constructing mathematical bitterness scale related to teacher factor Dirgantoro, Kurnia Putri Sepdikasari; Soesanto, Robert Harry; Yanti, Yanti
Jurnal Elemen Vol 10 No 2 (2024): May
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jel.v10i2.25508

Abstract

Mathematical bitterness is one of the critical factors influencing students’ mathematical performance, highlighting the need for further action to address its impact.  However, there has been no instrument thus far that can identify mathematical bitterness, particularly one caused by teacher treatment. This research, therefore, aims to construct an instrument to identify the presence of mathematical bitterness. This research involved 307 senior high school and undergraduate students, who were given and responded to a set of 30 questions. The data were then analyzed using confirmatory factor analysis (CFA) through IBM SPSS 20. Confirmatory factor analysis grouped the items into six dimensions (indicators) of mathematical bitterness. Each indicator shows a high Cronbach Alpha result, indicating strong validity in each group of indicators. Overall, the constructed instrument demonstrates strong validity and reliability. This instrument has been successfully constructed and statistically tested, thus making it readily available for use by other scholars interested in investigating mathematical bitterness on a broader scale.