An Usability Study Of A Recommender System For Mash Ups For Learning
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An Usability Study Of A Recommender System For Mash Ups For Learning

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An Usability Study Of A Recommender System For Mash Ups For Learning

An Usability Study Of A Recommender System For Mash Ups For Learning

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An Usability Study Of A Recommender System For Mash Ups For Learning An Usability Study Of A Recommender System For Mash Ups For Learning Presentation Transcript

  • ReMashed –An Usability Study of a Recommender System for Mash-Ups for Learning Hendrik Drachsler, Dries Pecceu, Tanja Arts, Edwin Hutten, Peter van Rosmalen, Hans Hummel & Rob Koper
  • My background… Learning Networks hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 2 | 23 September, 2009
  • Learning Networks Explicitly address informal learning Learners can publish, share, rate, tag and adjust their own Learning Activities in a Learning Network Open Corpus that emerges form the bottom upwards hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 3 | 23 September, 2009
  • Personal Environments Nowadays … More Information Blog Reader Providers Social Bookmarking Various Communities hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 4 | 23 September, 2009
  • Personal Learning Environments hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 5 | 23 September, 2009
  • Selection problem because … …of the amount of data that is emerging. …learners can be overwhelmed by the plethora of information. hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 6 | 23 September, 2009
  • Can we create a Recommender System Today, Recommender Systems for Mash-Ups for Learning? supporting our decisions hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 7 | 23 September, 2009
  • What is ReMashed? A Mash-up environment that allows you to personalize emerging information of online communities with a recommender system. You tell what kind of Web 2.0 services you use and then you are able to define which contributions of other members you like and do not like. hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 8 | 23 September, 2009
  • Goals for ReMashed 1. End-User level Providing a recommender system for Web 2.0 sources of learners in informal Learning Networks. 2. Researcher level 1. Offering researchers a system for the evaluation of recommendation algorithms for learners in informal Learning Networks. 2. Creating user-generated-content data sets for recommender systems in informal Learning Networks. hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 9 | 23 September, 2009
  • How does it work? ReMashed uses collaborative filtering to generate recommendations. It works by matching together users with similar tastes (neighbours) on different Web 2.0 resources (delicious, Flickr, blog feeds, Slideshare, Twitter, and YouTube). hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 10 | 23 September, 2009
  • How does it work? Cold-Start = Tag-based recommendation Collaborative Filtering with ratings hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 11 | 23 September, 2009
  • The 1st Release hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 12 | 23 September, 2009
  • The 1st Release Recommendation Algorithms Database User Interface of Items hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 13 | 23 September, 2009
  • System Evaluation • At the TENCompetence Winterschool 2009 • Also external users sign up for the evaluation phase • In total 49 people from 8 different countries After this slide you • created some The evaluation phase ran for one month and was concluded with an online recall questionnaire. really ugly ones do you really want to show them to the • We received answers from 19 participants in total audience? (response rate of 38%). hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 14 | 23 September, 2009
  • Usage of Web 2.0 services Strongly Agree Neutral Disagree Strongly agree disagree 16% 5% 31% 11% 37% 1. Use a blog 21% (n=3) (n=1) (n=6) (n=2) 48% (n=7) 2. Use social 42% 42% 6% 5% 5% Bookmarking 84% (n=8) (n=8) (n=1) (n=1) 10% (n=1) 5% 32% 21% 26% 16% 3. Share pictures 37% (n=1) (n=6) (n=4) (n=5) 42% (n=3) They just 4. Share 11% 26% 21% 21% twittered 17% presentations 37% (n=2) (n=5) (n=4) (n=4) 38% (n=5) that the 5. Use micro- table is 11% 21% 10% 21% 37% blogging 32% (n=2) (n=4) (n=2) (n=4) 58% terrible. (n=7) 0% 15% 38% 26% 21% 6. Upload videos 15% (n=0) (n=3) (n=7) (n=5) 47% (n=4) 7. Use YouTube 5% 32% 15% 16% 32% to collect videos 37% (n=1) (n=6) (n=3) (n=3) 48% (n=6)
  • Satisfaction with ReMashed Very Satisfied Unsatisfied Very Total satisfied unsatisfied 1. Overall 5% 58% 26% 11% 100% satisfaction (n=1) 63% (n=11) (n=5) 37% (n=2) (n=15) 2. Satisfaction tag- 20% 40% 27% 13% 100% based algorithm (n=3) 60% (n=6) (n=4) 40% (n=2) (n=16) in the beginning 3. Satisfaction tag- 0% 69% 19% 13% 100% based algorithm (n=0) 69% (n=11) (n=3) 31% (n=2) (n=16) at the end 4. Satisfaction rating-based 8% 53% 31% 8% 100% algorithm in the (n=1) 61% (n=7) (n=4) 39% (n=1) (n=14) beginning 5. Satisfaction rating-based 8% 54% 31% 8% 100% algorithm at the (n=1) 62% (n=7) (n=4) 38% (n=1) (n=13) end
  • Open Question We received 9 answers: • Integrate social networks like Linkedin, Facebook, and MySpace. • Integrate mind mapping tools like Mindmeister. • Create clusters of Web 2.0 services of the same type, e.g. combine Picassa and flickr in a subcategory ‘Pictures’. hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 17 | 23 September, 2009
  • The 2nd Release hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 18 | 23 September, 2009
  • The 2nd Release DUINE Prediction Engine Database User Interface of Items hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 19 | 23 September, 2009
  • You can use it as well! Register at ReMashed remashed.ou.nl. starts mashing. Enter your favorite Taste your Web 2.0 potatoes. personal flavor of Web 2.0. Join the community. hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 20 | 23 September, 2009
  • Future R&D End-user perspective: 1. More Web 2.0 services and social networks 2. Widget / Portlet interface for other Personal Environments 3. Administration interface to create instances of the ReMashed Researcher perspective: 1. Creating data sets for Technology-Enhanced Learning 2. Exploring new recommendation technologies 3. Creating web services to offer recommendations to other Mash Up Personal Learning Environments hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 21 | 23 September, 2009
  • Many thanks for your interest! This slide is available here: http://www.slideshare.com/Drachsler Email: hendrik.drachsler@ou.nl Skype: celstec-hendrik.drachsler Blogging at: http://elgg.ou.nl/hdr/weblog Twittering at: http://twitter.com/HDrachsler hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 22 | 23 September, 2009
  • Please sign up at: http://remashed.ou.nl hendrik.drachsler@ou.nl International Conference on Interactive Computer Aided Learning, ICL 2009,Villach, AT Page 23 | 23 September, 2009