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Doctoral education process and product using constructive alignment in software engineering and computer science
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0001-9376-9844
2023 (English)In: Journal of Teaching and Learning in Higher Education, E-ISSN 2004-4097, Vol. 4, no 2Article in journal (Other academic) Published
Abstract [en]

Sweden is seen as one of the most research-driven and educated countries in the world. Thus, Doctoral education is considered one of Sweden's most important parts of higher education. This position paper reflects upon the process and product of doctoral education in Computer Science and Software Engineering in Sweden. The paper provides an overview of doctoral education in Sweden, followed by a practical demonstration of how supervisors and doctoral students could use constructive alignment to achieve the learning outcomes of doctoral education using learning activities and assessment methods to evaluate the learning activities and, by extension, the learning outcomes.

Abstract [sv]

Sverige ses som ett av de mest forskningsdrivna och utbildade länderna i världen. Forskarutbildningen anses därmed vara en av Sveriges viktigaste delar av den högre utbildningen. Detta ställningstagande reflekterar över forskarutbildningens process och produkt i Datavetenskap och programvarusystem i Sverige. Artikeln ger en översikt över forskarutbildningen i Sverige, följt av en praktisk demonstration av hur handledare och doktorander kan använda konstruktiv anpassning för att uppnå lärandemålen för forskarutbildningen med hjälp av inlärningsaktiviteter och bedömningsmetoder för att utvärdera lärandeaktiviteterna och i förlängningen lärandemålen. 

Place, publisher, year, edition, pages
Malmö universitet, 2023. Vol. 4, no 2
Keywords [en]
Constructive alignment, pedagogy, doctoral education, computer science, Software engineering
Keywords [sv]
doktorandutbildning, datavetenskap, pedagogik, konstruktiv länkning, mjukvaruutveckling
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-62197DOI: 10.24834/jotl.4.2.853OAI: oai:DiVA.org:mau-62197DiVA, id: diva2:1792673
Available from: 2023-08-30 Created: 2023-08-30 Last updated: 2023-08-30Bibliographically approved

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Munir, Hussan

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
  • rtf