Williamson Ben, Kotouza Dimitra, Pickersgill Martyn, Pykett Jessica
University of Edinburgh, Edinburgh, UK.
University of Birmingham, Birmingham, UK.
Postdigit Sci Educ. 2024;6(4):1143-1172. doi: 10.1007/s42438-023-00451-3. Epub 2024 Feb 3.
Technoscientific transformations in molecular genomics have begun to influence knowledge production in education. Interdisciplinary scientific consortia are seeking to identify 'genetic influences' on 'educationally relevant' traits, behaviors, and outcomes. This article examines the emerging 'knowledge infrastructure' of educational genomics, attending to the assembly and choreography of organizational associations, epistemic architecture, and technoscientific apparatuses implicated in the generation of genomic understandings from masses of bioinformation. As an infrastructure of datafied knowledge production, educational genomics is embedded in data-centered epistemologies and practices which recast educational problems in terms of molecular genetic associations-insights about which are deemed discoverable from digital bioinformation and potentially open to genetically informed interventions in policy and practice. While scientists claim to be 'opening the black box of the genome' and its association with educational outcomes, we open the black box of educational genomics itself as a source of emerging scientific authority. Data-intensive educational genomics does not straightforwardly 'discover' the biological bases of educationally relevant behaviors and outcomes. Rather, this knowledge infrastructure is also an experimental 'ontological infrastructure' supporting particular ways of knowing, understanding, explaining, and intervening in education, and recasting the human subjects of education as being surveyable and predictable through the algorithmic processing of bioinformation.
分子基因组学中的技术科学变革已开始影响教育领域的知识生产。跨学科科学联盟正试图确定对“与教育相关的”特质、行为和结果的“基因影响”。本文考察了教育基因组学中新兴的“知识基础设施”,关注组织关联、认知架构以及从大量生物信息中生成基因组理解所涉及的技术科学仪器的组合与编排。作为数据化知识生产的基础设施,教育基因组学嵌入了以数据为中心的认识论和实践中,这些认识论和实践根据分子遗传关联来重新界定教育问题——人们认为可以从数字生物信息中发现有关这些关联的见解,并且这些见解可能为政策和实践中的基因知情干预提供依据。虽然科学家声称正在“打开基因组的黑匣子”及其与教育结果的关联,但我们打开教育基因组学本身这个黑匣子,将其作为新兴科学权威的一个来源。数据密集型教育基因组学并非直接“发现”与教育相关行为和结果的生物学基础。相反,这种知识基础设施也是一种实验性的“本体论基础设施”,支持特定的认识、理解、解释和干预教育的方式,并将教育的人类主体重塑为可通过生物信息的算法处理进行调查和预测的对象。