Case-based collaborative learning (CBCL) is designed to foster a deep understanding of concepts via critical thinking, discussion, and inquiry. While the CBCL method can be used to teach a single lesson, it was specifically developed in the context of undergraduate medical education with the ...
Project Based Learning, or PBL for short, is a method of teaching where students learn by engaging in real-world and personally important and meaningful projects. Students work on a project over a long period of time, answering interesting and complex questions or solving a real problem through...
Problem-based learning (PBL) is a pedagogical approach that uses complex real-world problems to promote learning and engagement. These problems are meaningful and allow students or participants to understand concepts in a more dynamic way when compared to the traditional presentation of facts. You ...
me to bring a different perspective in evidence-based clinical decision making. I hope through my past learning experiences, not only do I advance the field of evidence-based medicine in Shenzhen and the Greater Bay Area by integrating ML and AI, but also bring an international perspective throu...
Unsupervised machine learning not only involves training based on data that doesn’t have labels; there’s also no specific, defined output, such as whether an email is likely spam. Unsupervised machine learning tends to spot groupings of similar data, creating clusters. Once trained, the model...
The question of whether blended learning models are effective concerns training professionals as much as those who wonder if blended scotch is a good thing. As with scotch, the answer depends on the balance. So, what is blended learning, what do we blend, in what proportions, and why has ...
Learning in teams has a big advantage. You learn from each other meaning you learn extra skills you don’t learn individually. Think about listening, arguing, convincing, decision making, and team building. This is impossible to learn from a book on your own. Therefore, team based learning ...
Which AI use case is the best fit for supervised learning? Find out in this ebook. Access the ebook Supervised Learning FAQs What is an example of a supervised learning algorithm? An example of a supervised learning algorithm is the creation of a model that predicts the likelihood of a medic...
Whatisproblembasedlearning? Inproblembasedlearning(PBL)studentsuse“triggers”from theproblemcaseorscenariotodefinetheirownlearning objectives.Subsequentlytheydoindependent,selfdirected studybeforereturningtothegrouptodiscussandrefinetheir acquiredknowledge.Thus,PBLisnotaboutproblemsolving perse,butratheritusesappropriate...
There are three main types of Unsupervised Machine Learning: Clustering:Clustering is an unsupervised learning technique that groups data points according to their properties or similarities. The primary objective here is to recognize the relationship and similarity between given data points, and based on...