Sökning: WFRF:(Heintz Fredrik 1975 )
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Supporting Active L...
Supporting Active Learning by Introducing an Interactive Teaching Tool in a Data Structures and Algorithms Course
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- Färnqvist, Tommy, 1976- (författare)
- Linköpings universitet,Programvara och system,Tekniska fakulteten
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- Heintz, Fredrik, 1975- (författare)
- Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten,KPLAB - Laboratoriet för kunskapsbearbetning
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- Lambrix, Patrick (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska högskolan,IDA/ADIT
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- Mannila, Linda (författare)
- Åbo Academy, Finland
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- Wang, Chunyan (författare)
- Linköpings universitet,Institutionen för datavetenskap
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(creator_code:org_t)
- 2016-02-17
- 2016
- Engelska.
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Ingår i: Proceedings of the 47th ACM Technical Symposium on Computer Science Education (SIGCSE 2016). - New York, NY, USA : ACM Publications. - 9781450336857 ; , s. 663-668
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Traditionally, theoretical foundations in data structures and algorithms (DSA) courses have been covered through lectures followed by tutorials, where students practise their understanding on pen-and-paper tasks. In this paper, we present findings from a pilot study on using the interactive e-book OpenDSA as the main material in a DSA course. The goal was to redesign an already existing course by building on active learning and continuous examination through the use of OpenDSA. In addition to presenting the study setting, we describe findings from four data sources: final exam, OpenDSA log data, pre and post questionnaires as well as an observation study. The results indicate that students performed better on the exam than during previous years. Students preferred OpenDSA over traditional textbooks and worked actively with the material, although a large proportion of them put off the work until the due date approaches.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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