Using explanations for recommender systems in learning design settings to enhance teachers’ acceptance and perceived experience View Full Text


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Article Info

DATE

2019-04-09

AUTHORS

Soultana Karga, Maya Satratzemi

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. More... »

PAGES

2953-2974

References to SciGraph publications

  • 2016-07-21. The process of designing for learning: understanding university teachers’ design work in EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT
  • 2010-10-05. Designing and Evaluating Explanations for Recommender Systems in RECOMMENDER SYSTEMS HANDBOOK
  • 2010-10-05. Usability Guidelines for Product Recommenders Based on Example Critiquing Research in RECOMMENDER SYSTEMS HANDBOOK
  • 2008-08-20. The effects of transparency on trust in and acceptance of a content-based art recommender in USER MODELING AND USER-ADAPTED INTERACTION
  • 2017-11-16. A hybrid recommender system integrated into LAMS for learning designers in EDUCATION AND INFORMATION TECHNOLOGIES
  • 2011. Recommender Systems Handbook in NONE
  • 2003-06-18. Interfaces for Eliciting New User Preferences in Recommender Systems in USER MODELING 2003
  • 2015. The Art & Science of Learning Design in NONE
  • 2012-02-16. Evaluating the effectiveness of explanations for recommender systems in USER MODELING AND USER-ADAPTED INTERACTION
  • 2014. ILDE: Community Environment for Conceptualizing, Authoring and Deploying Learning Activities in OPEN LEARNING AND TEACHING IN EDUCATIONAL COMMUNITIES
  • 2008. Learning Design: Concepts in HANDBOOK ON INFORMATION TECHNOLOGIES FOR EDUCATION AND TRAINING
  • 2015. Explaining Recommendations: Design and Evaluation in RECOMMENDER SYSTEMS HANDBOOK
  • 2013. Designing for Learning in an Open World in NONE
  • 2016-10-01. A Review, Timeline, and Categorization of Learning Design Tools in ADVANCES IN WEB-BASED LEARNING – ICWL 2016
  • 2013. Towards an Integrated Learning Design Environment in SCALING UP LEARNING FOR SUSTAINED IMPACT
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10639-019-09909-z

    DOI

    http://dx.doi.org/10.1007/s10639-019-09909-z

    DIMENSIONS

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