Students' Decision-Making in Solving Mathematical Word Problems Based on Adversity Quotient

This study aims to describe students’ decision-making processes in solving mathematical word problems based on their Adversity Quotient (AQ). A qualitative research method was employed. Data were collected through AQ questionnaires, decision-making tests, and interviews. The data analysis techniques included data reduction, data presentation, verification, and conclusion drawing. The findings revealed the presence of 2 climber-type students, 5 students transitioning from camper to climber, 16 camper-type students, and 4 students transitioning from quitter to camper; no students were identified as quitters. The results show that climber-type rational students fulfilled all indicators of decision-making. Rational students transitioning from camper to climber fulfilled all indicators except for recalling the relationship between the problem, known information, and the decision made. Heuristic students in this category were unable to present or recall that relationship. Camper-type students with intuitive and rational decision-making styles were able to identify problems and goals, find alternative solutions, solve the problems, evaluate the alternatives, and make decisions. Students transitioning from camper to quitter with an intuitive style could identify problems, find alternative solutions, solve the problems, and make decisions. Meanwhile, those with a rational style could only find alternative solutions, solve the problems, and make decisions.

Authors

Institutions

Publication Details

Journal
Jurnal Absis Jurnal Pendidikan Matematika dan Matematika
Published
2025-04-29
DOI
https://doi.org/10.30606/absis.v8i1.2751
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
article

Students' Decision-Making in Solving Mathematical Word Problems Based on Adversity Quotient

Redi Hermanto, Ike Natalliasari, Ellita Destriani Savitri
Jurnal Absis Jurnal Pendidikan Matematika dan Matematika
Mathematics Education and Pedagogy
article

Students' Decision-Making in Solving Mathematical Word Problems Based on Adversity Quotient

Redi Hermanto, Ike Natalliasari, Ellita Destriani Savitri
article en

Abstract

This study aims to describe students’ decision-making processes in solving mathematical word problems based on their Adversity Quotient (AQ). A qualitative research method was employed. Data were collected through AQ questionnaires, decision-making tests, and interviews. The data analysis techniques included data reduction, data presentation, verification, and conclusion drawing. The findings revealed the presence of 2 climber-type students, 5 students transitioning from camper to climber, 16 camper-type students, and 4 students transitioning from quitter to camper; no students were identified as quitters. The results show that climber-type rational students fulfilled all indicators of decision-making. Rational students transitioning from camper to climber fulfilled all indicators except for recalling the relationship between the problem, known information, and the decision made. Heuristic students in this category were unable to present or recall that relationship. Camper-type students with intuitive and rational decision-making styles were able to identify problems and goals, find alternative solutions, solve the problems, evaluate the alternatives, and make decisions. Students transitioning from camper to quitter with an intuitive style could identify problems, find alternative solutions, solve the problems, and make decisions. Meanwhile, those with a rational style could only find alternative solutions, solve the problems, and make decisions.

Jurnal Absis Jurnal Pendidikan Matematika dan MatematikaVol. 8(1)
Siliwangi University (ID)
Openalex Percentile: Top 67%
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.