Surgical data science: the new knowledge domain

SS Vedula, GD Hager - Innovative surgical sciences, 2017 - degruyter.com
Healthcare in general, and surgery/interventional care in particular, is evolving through rapid
advances in technology and increasing complexity of care, with the goal of maximizing the …

Data science pedagogical tools and practices: A systematic literature review

B Memarian, T Doleck - Education and Information Technologies, 2024 - Springer
The development of data science curricula has gained attention in academia and industry.
Yet, less is known about the pedagogical practices and tools employed in data science …

Data and society: A critical introduction

S Leonelli, A Beaulieu - 2021 - torrossa.com
Let us start with an everyday story common to the world of internet users. It is April 2021 in
the United Kingdom. Thirty-year-old Lara is a healthy and active individual. In the evening …

Situating data science: Exploring how relationships to data shape learning

MH Wilkerson, JL Polman - Journal of the Learning Sciences, 2020 - Taylor & Francis
The emerging field of Data Science has had a large impact on science and society. This has
led to over a decade of calls to establish a corresponding field of Data Science Education …

Data use by middle and secondary students in the digital age: A status report and future prospects

VR Lee, MH Wilkerson - 2018 - digitalcommons.usu.edu
What it means to work with data has changed significantly since the preparation and
publication of America's Lab Report (Singer, Hilton, & Schweingruber, 2006) in ways that are …

[图书][B] Data science thinking

L Cao, L Cao - 2018 - Springer
Data Science Thinking | SpringerLink Skip to main content Advertisement SpringerLink Account
Menu Find a journal Publish with us Track your research Search Cart Book cover Data Science …

Data science in 2020: Computing, curricula, and challenges for the next 10 years

A Schwab-McCoy, CM Baker… - Journal of Statistics and …, 2021 - Taylor & Francis
In the past 10 years, new data science courses and programs have proliferated at the
collegiate level. As faculty and administrators enter the race to provide data science training …

A fresh look at introductory data science

M Çetinkaya-Rundel, V Ellison - Journal of Statistics and Data …, 2021 - Taylor & Francis
The proliferation of vast quantities of available datasets that are large and complex in nature
has challenged universities to keep up with the demand for graduates trained in both the …

[HTML][HTML] Machine learning and pre-medical education

VB Kolachalama - Artificial intelligence in medicine, 2022 - Elsevier
Abstract Machine learning and artificial intelligence (AI)-driven technologies are contributing
significantly to various facets of medicine and care management. It is likely that the next …

[图书][B] Modern data science with R

BS Baumer, DT Kaplan, NJ Horton - 2017 - taylorfrancis.com
Modern Data Science with R is a comprehensive data science textbook for undergraduates
that incorporates statistical and computational thinking to solve real-world problems with …