AI summary · arXiv: 2108.13800v1 · cs.SI
Network psychometrics and cognitive network science open new ways for detecting, understanding and tackling the complexity of math anxiety: A review
The essentials
- Math anxiety is a clinical condition that impairs cognitive processing in math-related contexts
- It affects both inexperienced, low-achieving students and high-performing learners
- Math anxiety is a complex system that affects well-being, self-confidence, and information processing on both conscious and subconscious levels
- It can be transmitted by social interactions and worsened by distorted perceptions
- Roughly 20% of students in 63 out of 64 worldwide educational systems are affected by math anxiety but it correlates weakly with academic performance
- Math anxiety poses a concrete threat to students' well-being, computational literacy, and career prospects in science
- Recent advances with network psychometrics and cognitive network science provide ideal frameworks for detecting, interpreting, and intervening upon such clinical conditions
- Cognitive data science techniques can be used to detect otherwise hidden levels of math anxiety unveiling specific layout behind it enabling future powerful data-informed interventions untangling it.
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