Capstone: Create Value from Open Data - ESSEC Business SchoolCoursera
Cosa impari in questo corso?
The Capstone project is an individual assignment. Participants decide the theme they want to explore and define the issue they want to solve.Their “playing field” should provide data from various sectors (such as farming and nutrition, culture, economy and employment, Education & Research, International & Europe, Housing, Sustainable, Development & Energies, Health & Social, Society, Territories & Transport). Participants are encouraged to mix the different fields and leverage the existing information with other (properly sourced) open data sets. During Step One, “Project Objectives Qualification and Identification of the Data Sets”, participants should explore the data set and define fix their objectives: they will have to define the what and why, which issue they want to solve and why it should provide added value for authorities or any specific organisation. Step Two, “Project Scope identification”, should allow participants to define the analysis framework: how the data sets should be explored. In Step Three, “Main Findings Presentation and Conclusions Preparation”, participants will be asked to define the intermediary outputs and adjustments to the analysis framework. In other words, they will have to confirm the “how” and the relevancy of the initial results. Step Four, “Conclusions and Recommendations”, would be focused on presenting the final outputs and value case to the other participants. Assessment and grading: the participants will present their results to their peers on a regular basis. An evaluation framework will be provided for the participants to assess the quality of each other’s deliverables.Online learning plays a key role in lifelong learning. In fact, a recent report by the United States Department of Education found that "the courses that include online education (either completely virtual or blended learning) produce, on average, much stronger learning outcomes for students courses They are conducted exclusively in person. Based on an approach developed by educational psychologist Benjamin Bloom, the mastery learning helps students to fully understand a subject before moving on to a more advanced. In Coursera, usually we give an answer immediately to the concepts that the student does not understand feedback. In many cases, we offer random versions of assessments for the student to return to school and retrying until mastered the concept.