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Development of Massive Online Open Course ‘Energy Transition and Climate Change’

Abstract This study focuses on designing a massive open online course (MOOC) to enhance students learning about the energy transition process and its connection to climate change in theory and complex dynamic systems. The course ‘Energy transition and climate change’ covers one of the United Nations’ ‘Sustainable development goals’ and is one of twelve MOOCs that will enable a comprehensive education in system thinking and its applications. It shows how system thinking methods and tools can be applied to tackle current and future energy and climate problems. The goal of the MOOC is to introduce users to the internal dynamics of modern energy systems and energy transition toward CO2-neutral energy systems. The target audience of the course is students who study Environmental Engineering, Energy, Systems, or similar program and anyone else interested in insights into the topic. The course builds on previous energy supply and demand models by updating and adapting them to the existing situation. MOOC is designed by the Competency-Based Education (CBE) approach, and a literature review is used in the study to cover theoretical parts of the course. Technology Readiness Level (TRL) methodology describes the main steps of the course model development progress, and testing of MOOCs pilot version on five students is included in the final stage of the study.
- Riga Technical University Latvia
TJ807-830, competency-based education, Renewable energy sources, system dynamics, renewable energy sources, energy efficiency
TJ807-830, competency-based education, Renewable energy sources, system dynamics, renewable energy sources, energy efficiency
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
