Abstract
Teaching the multidisciplinary field of Data Analytics requires comfort with multiple domains of knowledge, each with its own assumptions, concepts, and skills. Ideally, such teaching will use an overarching framework that transcends and subsumes all the reference fields. Natural law provides such an unchanging framework and a stress-free and sustainable path to continued learning. Teaching from Natural Law helps enhance the student’s capacity for comprehension and integration of diverse knowledge and skills. This paper presents seven key Natural Law principles, along with examples of their applications in teaching data analytics.
Recommended Citation
Maheshwari, Anil, "Natural Law as Integrative Framework for Data Analytics Education" (2017). Proceedings of the 2017 Pre-ICIS SIGDSA Symposium. 2.
https://aisel.aisnet.org/sigdsa2017/2