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Intro -- Foreword -- Preface -- Contents -- Contributors -- About the Editors -- Managing in Health Care: Cues and Reflections -- 1 Managing the Myths of Health Care -- 1.1 The Myths of Health Care -- 1.2 Reframing Management: As Distributed Beyond the "Top" -- 1.3 Reframing Strategy: As Venturing, not Planning -- 1.4 Reframing Organization: As Collaboration Beyond Control, Communityship Beyond Leadership -- 1.5 Reframing Scale: As Human Beyond Economic -- 1.6 Reframing Managing Style: As Caring More Than Curing -- 1.7 Reframing Managing Style: As a System Beyond Its Parts -- References -- 2 The Historical Evolution of Health Concepts and Approaches: The Challenge of Complexity -- 2.1 Introduction -- 2.2 Healers as Heroic Leaders in Archaic Societies -- 2.3 Health Care as Private Profession in Ancient Times -- 2.4 Divine Engineering in the Middle Ages -- 2.5 Mechanism and Measurement in the Modern Age -- 2.6 Health in the Twentieth Century -- 2.7 The New Myths of the Twentieth Century -- 2.8 The Complexity Trajectory and the Myth of Health Systems' Failure -- References -- 3 A Plural Analysis of Health Myths: Overview of the Volume -- 3.1 Myth #1: The Health Care System Is Failing -- 3.2 Myth #2: The Health Care System Can Be Fixed by Clever Social Engineering -- 3.3 Myth #3: Health Care Institutions as Well as the Overall System Can Be Fixed by Bringing in the Heroic Leader -- 3.4 Myth #4: The Health Care System Can Be Fixed by Treating It More as a Business -- 3.5 Myth #5: Health Care Is Rightly Left to the Private Sector, for the Sake of Efficiency -- 3.6 Myth #6: Health Care Is Rightly Controlled by the Public Sector, for the Sake of Equality -- 3.7 Myth #7: Myth of Measurement -- 3.8 Myth #8: Myth of Scale -- 3.9 Health Myths and Service-Dominant Logic -- References -- Going Through Health Myths -- 4 Myth #1: The Healthcare System Is Failing

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.