论文标题

贫民窟的数学和激励措施

Mathematics and incentives in the slums

论文作者

Stefansson, Gunnar, Lentin, Jamie, Jonsdottir, Anna Helga, Eiríksson, Eyþór, Kristjánsson, Arnar

论文摘要

为了回应Covid-19,一个新项目开始允许学生在学校外解决计算机化的数学演习。在9个月内,它已与肯尼亚各种贫民窟和低收入地区的十个社区图书馆合作,从零变为一千名学生。该计划使用Tutor-Web作为学习环境,并通过向参与社区库捐赠平板电脑来提供访问。当学生通过系统进展时,使用笑脸加密货币获得了奖励,并且图书馆可以免费出售,以销售小型小食品,卫生护垫和平板电脑本身。奖励系统旨在强调中学数学。相应的演习集的完成提供了足以购买平板电脑的笑容奖。基于第一年的结论表明,对参与和绩效的影响是前所未有的:11个图书馆,有1301名学生在2021年选择自愿参与,导致该计划以充分的财务能力运行。在那年,有450名学生获得了足够的味道来购买平板电脑,这涉及将大量的演习达到卓越水平。状态考试问题分散在演习收集中。这些独立的测量结果表明,学习超过了死记硬背学习和机械学习,并证明了解决以前从未见过的新数学问题的一般能力的提高。

In response to COVID-19, a new project was started to allow students to solve computerised math drills outside of school. In 9 months it has gone from zero to one thousand students, in co-operation with ten community libraries in various slums and low-income regions in Kenya. The program uses the tutor-web as a study environment and access is provided by donating tablet computers to participating community libraries. Students are rewarded using the SmileyCoin cryptocurrency as they progress through the system and the libraries are free to sell for SMLY small food items, sanitary pads and the tablets themselves. The reward system is designed to put an emphasis on secondary school mathematics. Completion of the corresponding collection of drills gives SmileyCoin awards sufficient to purchase a tablet. Conclusions based on the first year indicate that the resulting effect on participation and performance is unprecedented: Eleven libraries with 1301 students opted for voluntary participation in 2021 causing the program to run at full financial capacity. In that year, 450 students earned enough SMLY to purchase the tablets, which involves completing a large collection of drills to a level of excellence. Status exam questions are dispersed within the drill collection. These independent measurements show learning which surpasses both rote learning and mechanical learning and demonstrate an increase in the general ability to address new mathematical problems not seen before.

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