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      Recommending additional study materials: Binary ratings vis–à–vis five–star ratings

      27th International BCS Human Computer Interaction Conference (HCI 2013) (HCI)

      Human Computer Interaction Conference (HCI 2013)

      9 - 13 September 2013

      Recommender systems, ratings, scales, binary, five-star, e-learning, honesty

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          Abstract

          As various recommender approaches are increasingly considered in e–learning, the need for actual use cases to guide development efforts is growing. We report on our experiences of using non–algorithmic recommender features to recommend additional study materials on an undergraduate course in 2009–2011. The study data comes from student e–questionnaire replies and actual click–by–click use data. Our discussion centres on using binary (useful/not useful) rating scale (2009–2010) vis–à–vis five–star rating scale (2011). Using five-star scale to increase the complexity of the rating decision significantly reduced dishonesty (rating items without viewing them), but at the price of fewer ratings overall and increased complexity of interpreting the ratings. In addition to explaining how ratings and other factors inter-influenced item-selecting, we also discuss how different scales (binary and five-star) affect the rating behaviour in e-learning and how the five-star rating distributions in e-learning relate to those in other domains. Furthermore, we discuss two models, high-quality approach and low-cost approach, of employing non-algorithmic recommending features in e-learning that emerge from our findings. The findings provide the field with insight into the actual dynamics of using recommender features in e-learning. Moreover, they provide practitioners with actionable information on dishonesty.

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          Most cited references 9

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          Evaluating collaborative filtering recommender systems

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            Recommender systems in e-commerce

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              Overcoming the J-shaped distribution of product reviews

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                Author and article information

                Contributors
                Conference
                September 2013
                September 2013
                : 1-10
                Affiliations
                University of Tampere / School of Information Sciences / TAUCHI

                Kalevantie 4, 33014 Tampereen yliopisto, Finland
                Article
                10.14236/ewic/HCI2013.12
                © Juha Leino. Published by BCS Learning and Development Ltd. 27th International BCS Human Computer Interaction Conference (HCI 2013), Brunel University, London, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                27th International BCS Human Computer Interaction Conference (HCI 2013)
                HCI
                27
                Brunel University, London, UK
                9 - 13 September 2013
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction Conference (HCI 2013)
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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