Abstract

Online technologies have entered almost all spheres of life, introducing new challenges to how literacies are theorised, defined and taken up in adult literacy education settings. This process has accelerated during the COVID-19 pandemic and on a global scale, as more services, resources and information move online. An important, if under-studied example of this trend is e-recruitment. Job seekers increasingly rely upon automated platforms to find and apply for jobs, and their fate in these selection processes are often automated. Drawing on data from the German LEO study and ethnographic interviews with job seekers in community-based digital literacy classes in Canada, this article explores how adult job seekers experience e-recruitment platforms, examining promises of efficiency, convenience and fairness in light of embedded inequalities within algorithmic agencies. Located within constructs of digital inequality, new literacy studies and sociomaterial literacies, findings suggest the need to reconfigure skills discourses, literacy measurement projects, and literacies education to account for automated intelligences as new actors in the literacies landscape.

摘要

在线技术已经进入了几乎所有的生活领域，给成人扫盲教育理论，定义和接受扫盲的方式提出了新的挑战。随着越来越多的服务，资源和信息在线上转移，在COVID-19大流行期间和全球范围内，这一过程已经加速。电子招聘是这种趋势研究的一个重要实例，尽管该实例尚未得到充分研究。求职者越来越依赖自动化平台来寻找和申请工作，而他们在这些选择过程中的命运通常是自动化的。本文利用来自德国LEO研究的数据以及在加拿大基于社区的数字素养课程中对求职者进行的人种学访谈，研究了成年求职者如何体验电子招聘平台，研究了提高效率的承诺，鉴于算法机构内含的不平等性，提供了便利和公平。研究发现位于数字不平等，新素养研究和社会材料素养的构造中，有必要重新配置技能课程，素养测量项目和素养教育，以将自动化情报视为素养领域的新参与者。