Datatrotters’ case studies start with a topical issue of importance to Economics and to the world. The students are given the chance to solve real-world problems from the perspective of a decision maker.

Our method combines search for relevant facts with application of economic models in order to develop students’ ability to approach issues from different perspectives, challenge common thinking, and see the connections between issues.

application economic modelsAll along the case study, students are actively engaged to reflect on the signification of the data through questions and exercises. They can conduct their reflection on their own or in groups, in the classroom or online by using the platform’s feed. The material is designed to leverage both core and soft skills.

We have also paid special attention to the quality of feedbacks, explaining clearly why answers are right or wrong, and what they mean for the issue to be solved. Engagement, involvement and feedback are used to significantly improve learning outcomes. Through this experience, students will feel the doubts as well as the impact they can have as future decision makers and opinion leaders when they solve problems successfully.

In addition, the learning platform provides diagnostic and formative assessments, and show to what extent the learning objectives are met. The assessments are based on what students are able to do with the data and theoretical knowledge, rather than solely on their ability to retain information, concepts and mechanisms.

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Why does an economist need data? Read more on our blog.