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An Ontological Framework for the Analysis of Constructively Aligned Educational Units
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0002-0723-1712
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.).ORCID iD: 0000-0001-5912-441X
2019 (English)In: ADVANCES IN MANUFACTURING II, VOL 3 - QUALITY ENGINEERING AND MANAGEMENT / [ed] Hamrol, A Grabowska, M Maletic, D Woll, R, SPRINGER-VERLAG BERLIN , 2019, p. 185-193Conference paper, Published paper (Refereed)
Abstract [en]

Higher education institutions are increasingly abandoning traditional teaching methods based on transmissive pedagogy and embracing a model based on the constructivist theory of learning. This is a necessary shift to face current challenges in their domain such as shrinking resources and need to reach students with different level of motivation and learning styles. Constructive Alignment (CA) combines the new pedagogical approach with aligned design for outcome-based teaching education and it is the leading approach under-pinning current requirements for program specification and single course description. Another important trend emerging from digitalization of higher education is the collection and use of educational data to improve all the aspects of the learning process. This research community has produced a large body of valuable tools and methods, but there is no specific contribution targeting the analysis of constructively aligned education. The CONALI ontology is an ongoing modelling effort that currently provides a framework to describe the CA body of knowledge including all the relevant semantic relationships. This paper presents a new version of such ontology that supports collection and analysis of educational data from constructively aligned educational units as a first step to fill the gap described above. The specific requirements for this iterative upgrade have been inferred from a literature review of the typical analysis conducted in the domain of educational big data.

Place, publisher, year, edition, pages
SPRINGER-VERLAG BERLIN , 2019. p. 185-193
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356
Keywords [en]
Constructive alignment, Learning analytics, Ontology
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-263381DOI: 10.1007/978-3-030-17269-5_13ISI: 000490711700013Scopus ID: 2-s2.0-85065329468ISBN: 978-3-030-17269-5 (print)ISBN: 978-3-030-17268-8 (print)OAI: oai:DiVA.org:kth-263381DiVA, id: diva2:1370508
Conference
6th International Scientific-Technical Conference on Advances in Manufacturing II (MANUFACTURING), MAY 19-22, 2019, Poznan, POLAND
Note

QC 20191115

Available from: 2019-11-15 Created: 2019-11-15 Last updated: 2019-11-15Bibliographically approved

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Maffei, AntonioBoffa, EleonoraNuur, Cali

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