Open AccessThe analysis of heuristics decision-making in abstract algebra proofing
Author(s) -
. Junarti,
YL Sukestiyarno,
St. Budi Waluya,
. Rochmad
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1321/2/022059
Subject(s) - heuristics , computer science , independence (probability theory) , measure (data warehouse) , process (computing) , anchoring , social heuristics , path (computing) , artificial intelligence , mathematics , psychology , statistics , programming language , social psychology , data mining , social competence , social change , economics , economic growth , operating system
Heuristics decision-making is the path, the shortcut of the human mind in making an immediate decision on the process of problem-solving in abstract algebra proofing. Heuristics decision-making are classified into four components, i.e. representative, availability, adjustment and anchoring. This study combined a quantitative and qualitative approach. A test was done twice in order to measure the five stages of verification, and questionnaires were also used to measure heuristics decision and were analyzed descriptively. The results of this study were (1) the students having representative heuristics were able to write the verification well; those having availability heuristics were able to prove when they were given the similar example with the problem; those having adjustment heuristics were able to prove with the ideas and concepts that have been understood; and those having anchoring heuristics cannot control the mistakes made in symbols writing, key ideas, steps, conditions of proof, and reasons supporting theorem; and (2) from the interview, it was revealed that the proof can be done if there are similar examples and with the help of friends, the students did not have a fully learning independence, the students were less confidence in making heuristics decision.