Please use this identifier to cite or link to this item:
Title: Using explanations for recommender systems in learning design settings to enhance teachers’ acceptance and perceived experience
Authors: Karga, Soultana
Satratzemi, Maya
Type: Article
Subjects: FRASCATI::Engineering and technology
FRASCATI::Social sciences
Keywords: explanations
recommender systems
learning design
technology enhanced learning
Issue Date: 9-Apr-2019
Publisher: Springer US
Source: Education and Information Technologies
Volume: 24
Issue: 5
First Page: 2953
Last Page: 2974
Abstract: The reuse of Learning Designs can bring significant advantages to the educational community such as the diffusion of best teaching practices and the improvement of teaching quality and learning outcomes. Although various tools, including Recommender Systems, have been developed to implement the notion of reusing Learning Designs, their adoption by teachers falls short of expectations. This paper investigates the results of providing explanations for Learning Design recommendations to teachers. To this end, we designed and implemented an explanatory mechanism incorporated into a Recommender System, which propose pre-existing Learning Designs to teachers. We then conducted a user-centric evaluation experiment. Overall, this study provides evidence that explanations should be incorporated into Recommender Systems that propose Learning Designs, as a way of improving the teacher-perceived experience and promoting their wider adoption by teachers. The more teachers accept and adopt Recommender Systems that propose Learning Designs, the more the educational community gains the benefits of reusing Learning Designs.
ISSN: 1360-2357
Other Identifiers: 10.1007/s10639-019-09909-z
Appears in Collections:Department of Applied Informatics

Files in This Item:
File Description SizeFormat 
EAIT-accepted.pdf618,85 kBAdobe PDFView/Open

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