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Active learning through smart grid model site in challenge based learning course
KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
2018 (English)In: IMSCI 2018 - 12th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings, International Institute of Informatics and Systemics, IIIS , 2018, p. 120-126Conference paper, Published paper (Refereed)
Abstract [en]

Smart Grid is a new and growing technology to developing countries. Its implementation and sustainability rely on well trained experts. Sustainability of the smart grid need local experts, hence a project named iGRID: Smart Grid Capacity Development and Enhancement in Tanzania was started. The project is running at the College of Information and Communication Technologies, University of Dar es Salaam. It intends to generate the necessary technical and scientific skills to ensure sustainable implementation of smart grid. iGRID project introduced taught PhD and Masters programs focusing on society, innovation and entrepreneurship in iGRID aspects, as well as to facilitate implementation of automation of monitoring, evaluation, analysis, control and management of electrical power system (smart grid) in order to improve delivery efficiency and to optimize operational costs in the electrical power system in Tanzania. The project made use of Challenge-Based Learning (CBL) methodology to engage students to work together with stakeholders in identifying challenges facing electrical power system in Tanzania. This paper presents the experience of using CBL methodology to achieve active learning to engineering students. The dynamicity of the teaching model, allowed students to acquire skills necessary to solve medium to high tech complex problems. The results build a continuous learning platform for students researching in electrical field. 

Place, publisher, year, edition, pages
International Institute of Informatics and Systemics, IIIS , 2018. p. 120-126
Keywords [en]
Active Learning, Challenge-Based Learning, Smart Grid, Tanzania, Artificial intelligence, Developing countries, Electric power system control, Electric power systems, Electric power transmission networks, Petroleum reservoir evaluation, Students, Sustainable development, Teaching, Capacity development, Control and management, Electrical power system, Information and Communication Technologies, Smart power grids
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-247482Scopus ID: 2-s2.0-85056494717ISBN: 9781941763926 (print)OAI: oai:DiVA.org:kth-247482DiVA, id: diva2:1302595
Conference
12th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2018, 8 July 2018 through 11 July 2018
Note

QC20190405

Available from: 2019-04-05 Created: 2019-04-05 Last updated: 2019-04-05Bibliographically approved

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Scopushttp://www.iiis2018.org/imsci/

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Tenhunen, Hannu

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
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More styles
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More languages
Output format
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