containment, and distance). Participants were asked to select routes between nodes with different descriptions of the visualizations. Redrawn from “Representing category and continuum: Visualizing thought” by B. Tversky, J. Corter, L. Yu, D. Mason, ...
In this article, I present a new framework of sense-making based on research investigating the benefits and boundaries of generative learning activities (GLAs). The generative sense-making framework distinguishes among three primary sense-making modes—explaining, visualizing, and enacting—that each se...
I will never forget the first meeting of industry and academe leaders coming together to address the need of some kind of formal structure for analytics in the Philippines. Flash forward nearly a decade and we can truly see the analytics community in the Philippines has flourished over the past...
That is, students went back and forth between their design journals and the simulation, engaging in making predictions, making changes in the simulation, and then observing and justifying the outcomes of those predictions iteratively until their designs were optimized. The argumentation framework was ...
The general “fair agreement” (0.21–0.40) among coaches was contrasted with the probabilistic predictions made by the FSV model. This also indicates that the phenomenon itself might be inherently complex, and thus perceived and acted upon in multiple ways. 3.3. Comparative Analysis between the ...
analytics process empowers all people, regardless of their technical skills, to access it and carry out informed decisions. Often this is done through innovative dashboard software, visualizing once-complicated tables and graphs in such ways that more people can initiate good data driven business ...
There are majorly two kinds of predictions corresponding to two types of problen: Classification Regression In classiication, the prediction is mostly a class or label, to which a data points belong In regression, the prediction is a number, a continous a numeric value, because regression pr...
Organize and explore: Here, the data is structured to uncover new patterns, trends and valuable insights. Cleaning data protects its accuracy and reliability. Visualizing the data helps identify patterns, outliers and trends that are not immediately obvious from raw data. ...
There are majorly two kinds of predictions corresponding to two types of problen: Classification Regression In classiication, the prediction is mostly a class or label, to which a data points belong In regression, the prediction is a number, a continous a numeric value, because regression pr...
However, even in large neural networks, we do know how they make predictions and usually understand what information is used. As shown in Sect. 3, there are transparent parameters and thresholds that are used to precisely guide the design of ML. The problem is instead that predictions are ...