- Oct 2020
480Gabriela Grosseck / Procedia Social and Behavioral Sciences 1 (2009) 478–482 2. Web 2.0 – Opportunities and Challenges for Higher
Great perspectives considering you're making an investment...you would want to know the advantages.
- Sep 2020
Wilkinson, Jack, Kellyn F. Arnold, Eleanor J. Murray, Maarten van Smeden, Kareem Carr, Rachel Sippy, Marc de Kamps, et al. ‘Time to Reality Check the Promises of Machine Learning-Powered Precision Medicine’. The Lancet Digital Health 0, no. 0 (16 September 2020). https://doi.org/10.1016/S2589-7500(20)30200-4.
- electronic health database
- clinical practice
- algorithmic complexity
- machine learning powered precision medicine
- prediction of individual responses
- machine learning
- improved diagnosis
- clinical science
- personalised medical approach
- Nov 2018
Adult learners face numerous challenges that include changing definitions, overcoming circumstances, relearning, and motivation. Addressing these challenges in a timely and personal way is especially important in distance learning environments. This roundtable will discuss how WGU addresses these challenges and prepares educators in a manner independent of place and time.
This article discusses ways to help adults in distance learning environments. The panelists are university workers sharing how they address the issues.