Please use this identifier to cite or link to this item:
Title: Data-driven problem based learning: enhancing problem based learning with learning analytics
Authors: Zotou, Maria
Tambouris, Efthimios
Tarabanis, Konstantinos
Type: Article
Subjects: FRASCATI::Natural sciences::Computer and information sciences
FRASCATI::Social sciences::Educational sciences::Education, general (including: training, pedagogy,didactics)
Keywords: Problem based learning
Learning analytics
PBL model
Course design
Technology enhanced learning
Issue Date: 2020
Source: Educational Technology Research and Development
Volume: 68
Issue: 6
First Page: 3393
Last Page: 3424
Abstract: Problem based learning (PBL) supports the development of transversal skills and could underpin the training of a workforce competent to withstand the constant generation of new information. However, the application of PBL is still facing challenges, as educators are usually unsure how to structure student-centred courses, how to monitor students’ progress and when to provide guidance. Recently, the analysis of educational data, namely learning analytics (LA), has brought forth new perspectives towards informative course monitoring and design. However, existing research shows that limited studies have combined PBL with LA to explore their potential in offering data-driven, student-centred courses. This paper presents a framework, termed PBL_LA, that aims to address this gap by combining PBL with LA. The framework is populated from the literature and discussions with PBL and LA experts. The paper also presents results from redesigning, delivering and assessing ten courses in different disciplines and countries using the proposed framework. Results showed positive feedback on all different testing settings, exhibiting reliability of the framework and potential across countries, disciplines and sectors.
ISSN: 1042-1629
Other Identifiers: 10.1007/s11423-020-09828-8
Appears in Collections:Department of Applied Informatics
Department of Business Administration

Files in This Item:
File Description SizeFormat 
2020-Article_Data-drivenProblemBasedLearnin.pdf927,64 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.