基本信息
浏览量:10
职业迁徙
个人简介
As a learning scientist, Manu makes a commitment not only to advancing understanding of human learning, but doing so in ways that make an impact in the actual ecologies of learning. Drawing on his engineering mindset for design, Manu conceptualized and developed the theory of Productive Failure to design for and bootstrap failure for learning mathematics better. He has done extensive work in real-field ecologies of STEM classrooms to transform teaching and learning using his theory of productive failure across a range of schools and universities in around the world.
His research on Productive Failure has been taken up by the Singapore’s Ministry of Education for wide-scale re-design and implementation of its pre-university mathematics (statistics) curriculum and pedagogy. This demonstrated Manu’s ability to build and sustain a high-quality, interdisciplinary scientific research program and work with multiple stakeholders (politicians, policy makers, funding bodies, schools) to impact not only theory but also policy and practice at the national scale.
研究兴趣
论文共 117 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CEREBRAL CORTEXno. 2 (2024)
Trends in Neuroscience and Educationpp.100226, (2024)
JOURNAL OF COMPUTER ASSISTED LEARNINGno. 2 (2024): 715-730
CHI Extended Abstractspp.1-8, (2023)
PROCEEDINGS OF THE 2022 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH, ICER 2022, VOL. 1pp.1-1, (2023)
引用0浏览0引用
0
0
npj Science of Learningno. 1 (2023): 1-8
引用0浏览0WOSNATURE引用
0
0
AIED (Posters/Late Breaking Results/...)pp.69-73, (2023)
引用0浏览0EI引用
0
0
crossref(2023)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn