心态
心理干预
心理学
干预(咨询)
掌握学习
代理(统计)
人口
数学教育
应用心理学
社会心理学
医学
计算机科学
环境卫生
精神科
机器学习
人工智能
作者
David S. Yeager,Carissa Romero,Dave Paunesku,Christopher Hulleman,Barbara Schneider,Cintia Hinojosa,Hae Yeon Lee,J. O’Brien,Kate Flint,Alice Roberts,Jill Trott,Daniel Greene,Gregory M. Walton,Carol S. Dweck
摘要
There are many promising psychological interventions on the horizon, but there is no clear methodology for preparing them to be scaled up. Drawing on design thinking, the present research formalizes a methodology for redesigning and tailoring initial interventions. We test the methodology using the case of fixed versus growth mindsets during the transition to high school. Qualitative inquiry and rapid, iterative, randomized "A/B" experiments were conducted with ~3,000 participants to inform intervention revisions for this population. Next, two experimental evaluations showed that the revised growth mindset intervention was an improvement over previous versions in terms of short-term proxy outcomes (Study 1, N=7,501), and it improved 9th grade core-course GPA and reduced D/F GPAs for lower achieving students when delivered via the Internet under routine conditions with ~95% of students at 10 schools (Study 2, N=3,676). Although the intervention could still be improved even further, the current research provides a model for how to improve and scale interventions that begin to address pressing educational problems. It also provides insight into how to teach a growth mindset more effectively.
科研通智能强力驱动
Strongly Powered by AbleSci AI