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This article describes how Plato proposed the dualistic solution to the mind-body problem, providing an explanation along the lines of his epistemology. Francis Bacon, in 1600, formulated his vision of the scientific method that will be valid until the 1960's when Karl Popper proposed his version, entering into controversy with the Lord Chancellor. Thanks to recent developments in artificial intelligence and computational neuroscience these problems have new empirical tools to be analyzed. An interesting aspect of this research program, better known as neuroeconomics, is the use it makes of the probability calculation tool for dealing with so-called decisions under uncertainty. The paper is an attempt to tell the birth, development, and some examples of these toolboxes, available to all those who want to apply them to improve knowledge inspired organizations.

Situation awareness (the Good) is a challenging approach aiming at realizing artifacts being aware of what happens in the environment around them. Big data (the Ugly) includes datasets whose magnitude is far away of being processed by traditional techniques. The Bad is the authors' framework that, even knowing about the ideal situation, represented by the Good, they realize the presence of the Ugly and face a decision, even knowing that it will not be the best but it is still important in order to mine nuggets from the cache of gold. As in every successful story, the authors' mission is to make the 'Bad' increasingly 'Good'. To make their artifact increasingly aware of, it is needed the domain expert's contribution, as argued by the methodology analysis to which there is mention.

The aim of this work is to review a specific learning analytics method - sentiment analysis - in the field of Higher Education, showing how it is employed to monitor student satisfaction on different platforms, and to propose an architecture of Sentiment Analysis for Higher Education purposes, which trace and unify what emerges from the literature review. First, a literature review is carried out, which proves the widespread and increasing interest of the communities, of both scholars and practitioners, in the use of sentiment analysis in the field of Higher Education. The analysis, focused on three different e-learning domains, identifies weaknesses and gaps, and in particular the lack of a unifying approach which is able to deal with the different domains. Secondly, a prototype architecture – LADEL (Learning Analytics Dashboard for E-Learning) - is introduced, which is able to deal with the different e-learning domains. Some preliminary experiments are carried out, highlighting some limitations and open issues, as stimulus to continue the development of the platform.