<![CDATA[Computational thinking is an important 21st-century skill that students need to learn. This study aims to describe students’ computational thinking abilities in solving mathematical problems, reviewed from the adversity quotient (AQ) types: quitters, campers, and climbers. This research employed a qualitative approach based on a case study with the perspective of grounded theory. Six eighth-grade students from a public junior high school in Cimahi were chosen, with two students selected for each AQ type. Data were collected through two steps which are tests and interviews, then analyzed using NVivo 14 (trial version). Computational thinking skills were analyzed based on eight categories: (1) problem identification, (2) formulation of a mathematical representation, (3) recognition of regularities, (4) determination of the pattern, (5) analysis of key characteristics, (6) formulation of alternative solutions, (7) develop the solution steps, and (8) draw a conclusion. The results showed that quitters demonstrated categories 1, 2, 3, 7, and 8; campers fulfilled categories 1, 2, 3, 5, 6, and 7; and climbers achieved categories 1, 2, 3, 4, 5, 6, and 7. These differences were influenced by the distinct characteristics of each AQ type. AQ could become the basis to design adaptive learning strategies to enhance students’ computational thinking abilities.]]>
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