Qin Jike, Opfer John E
Department of Educational Studies, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China.
Department of Psychology, The Ohio State University, Columbus, OH, USA.
Mem Cognit. 2025 Jun 11. doi: 10.3758/s13421-025-01738-5.
Natural language is often depicted as the sine qua non of mathematical thinking, a view buttressed by findings of language-of-training effects among bilinguals. These findings, however, have been limited to studies of arithmetic. Here, we asked whether algebraic thinking differs. We trained Chinese-English bilinguals and English monolinguals to solve arithmetic and algebra problems in either Chinese or English and tested them on new and old problems in both languages. In Experiments 1 and 2, bilinguals solved arithmetic problems faster in their trained than untrained language, and old arithmetic problems were solved faster than new ones. However, both the language-of-training and novelty effect were reduced or eliminated when learning algebraic rules. Strikingly, when English monolinguals were given Chinese problems, they successfully learned to solve the algebraic-but not arithmetic-problems. Together, the findings suggest that-unlike rote arithmetic-algebraic rules need not be encoded in natural language.
自然语言常被视为数学思维的必要条件,双语者中语言训练效果的研究结果支持了这一观点。然而,这些研究结果仅限于算术研究。在此,我们探讨代数思维是否存在差异。我们训练了中英双语者和英语单语者用中文或英文解决算术和代数问题,并对他们进行两种语言的新旧问题测试。在实验1和实验2中,双语者用受过训练的语言解决算术问题比用未受过训练的语言更快,并且解决旧的算术问题比新问题更快。然而,在学习代数规则时,语言训练和新颖性效应都减弱或消除了。令人惊讶的是,当给英语单语者中文问题时,他们成功学会了解决代数问题而非算术问题。总之,研究结果表明,与死记硬背的算术不同,代数规则无需用自然语言编码。