Semantic Scholar Open Access 2019 99 sitasi

Calculated avoidance: Math anxiety predicts math avoidance in effort-based decision-making

K. Choe J. Jenifer Christopher S. Rozek M. Berman Sian L. Beilock

Abstrak

Math anxiety predicts how much effort people are willing to put into doing math. Math anxiety—negative feelings toward math—is hypothesized to be associated with the avoidance of math-related activities such as taking math courses and pursuing STEM careers. However, there is little experimental evidence for the math anxiety-avoidance link. Such evidence is important for formulating how to break this relationship. We hypothesize that math avoidance emerges when one perceives the costs of effortful math engagement to outweigh its benefits and that this perception depends on individual differences in math anxiety. To test this hypothesis, we developed an effort-based decision-making task in which participants chose between solving easy, low-reward problems and hard, high-reward problems in both math and nonmath contexts. Higher levels of math anxiety were associated with a tendency to select easier, low-reward problems over harder, high-reward math (but not word) problems. Addressing this robust math anxiety-avoidance link has the potential to increase interest and success in STEM fields.

Topik & Kata Kunci

Penulis (5)

K

K. Choe

J

J. Jenifer

C

Christopher S. Rozek

M

M. Berman

S

Sian L. Beilock

Format Sitasi

Choe, K., Jenifer, J., Rozek, C.S., Berman, M., Beilock, S.L. (2019). Calculated avoidance: Math anxiety predicts math avoidance in effort-based decision-making. https://doi.org/10.1126/sciadv.aay1062

Akses Cepat

Lihat di Sumber doi.org/10.1126/sciadv.aay1062
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
99×
Sumber Database
Semantic Scholar
DOI
10.1126/sciadv.aay1062
Akses
Open Access ✓