a trust-based social recommender for teachers - core · page 1 a trust-based social recommender for...
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A Trust-based Social Recommender for Teachers
Soude Fazeli, PhD candidate Dr. Hendrik Drachsler Dr. Francis Brouns Prof. Dr. Peter Sloep
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• NELLL (Netherlands Laboratory for Lifelong Learning at the OUNL)
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Run-time: 2011-2015
A socially-powered, multilingual open learning infrastructure to boost the adaptation of eLearning Resources in Europe
• Open Discovery Space (ODS)
The doctoral study is funded by
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A social space for teachers
Learning Networks?
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Recommender systems?
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!Based on the framework proposed by Manouselis & Costopoulou (2007)
A proposed recommender system for teachers
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Supported tasks
• Find Novel resources • (Recker et al, 2003), (Lemire et al, 2005), (Rafaeli et al,
2005), (Tang & McCalla, 2005), (Drachsler et al, 2009)
• Find peers • (Beham et al, 2010), (Recker et al, 2003)
• For more examples, please refer to • Manouselis N., Drachsler H., Verbert K., Duval E. (2012).
Recommender Systems for Learning book, Springer.
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User model
• History-based models and user-item ratings matrix • Ontology • TEL variables: knowledge level, interests, goals and tasks, and
background knowledge • Capturing social data with help of a standard specification:
• FOAF • CAM • Annotation scheme (In the context of Organic.Edunet)
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!Based on the framework proposed by Manouselis & Costopoulou (2007)
A proposed recommender system for teachers
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Sparsity!
Similarity
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(Golbeck, 2009; Kamvar et al., 2003; Ziegler & Golbeck, 2007; Massa & Avesani, 2004; Lathia et al., 2008; Fazeli et al., 2010)
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Trust in recommender systems
• Trustworthy users == like-minded users • Assuming that trust is transitive
• (if A trusts B and B trusts C, then A trusts C) • Inter-user trust phenomena helps us to infer a relationship
between users
Alice
Carol
Bob
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A social recommender system: T-index approach (Fazeli et al., 2010)
• Creates trust relationships between users • Based on the ratings information
• Proposes T-index concept • To measure trustworthiness of users • To improve the process of finding the nearest neighbours
• Inspired on the H-index • Used to evaluate the publications of an author
• Based on results, T-index improves structure of trust networks of users
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Social data
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• RQ1: How can the sparsity problem within
educational datasets be solved by using inter-user trust relationships which originally come from the social data of users?
• RQ2: How can teachers’ networks be made to
evolve by the use of social data?
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Proposed research
1. Requirement analysis • Literature review • Interview study
2. Dataset-driven study 3. User evaluation study 4. Pilot study
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1. Requirement analysis
• Goal • Investigating the teachers’ main needs and requirements
• Method • Nominal group technique (NGT) • 18 teachers (novices, experts, mentors and supervising teachers) from the
Limburg area, the Netherlands • Inviting teachers to cluster the generated ideas by WebSort • Survey on use of social media by teachers
• Description • “What kind of support do you need to provide innovative teaching at your
school?" • Writing down the ideas, discussion, clustering, ranking the ideas
• Expected outcomes • An inventory list of teachers’ needs and requirements • A framework to identify suitable recommender systems’ strategies for our
target users
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Proposed research
1. Requirement analysis • Literature review • Interview study
2. Dataset-driven study 3. User evaluation study 4. Pilot study
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2. Dataset study
• Goal • To find out the most suitable recommender system algorithm for teachers
• Method • An offline empirical study of candidate algorithms (T-index, Pearson, Slope-
one, Tanimoto) • TravelWell, Organic.Edunet, eTwinning (TELeurope, Mace, Openscout)
• Variables to be measured • Prediction accuracy, coverage, and F1
• Expected outcomes • If the T-index approach can help to deal with the sparse data in the used
datasets • Which of the recommender system algorithms suits teachers best
(Verbert et al., 2011)
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Proposed research
1. Requirement analysis • Literature review • Interview study
2. Dataset-driven study 3. User evaluation study 4. Pilot study
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3. User evaluation study
• Goal • To study users’ satisfaction
• Method • Questionnaire • Pre and post test of knowledge gain
• Variables to be measured • Interestingness and value-addedness (Tang & McCalla, 2009) • Prediction accuracy, coverage, and F1 measures
• Expected outcomes • Initial feedback by end-users on users’ satisfaction as an input for pilot study
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Proposed research
1. Requirement analysis • Literature review • Interview study
2. Dataset-driven study 3. User evaluation study 4. Pilot study
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4. Pilot study
• Goal • To deploy the final release • To test it under realistic operational conditions with the end-users
• Method • Evaluating performance of the designed recommender system algorithm • Study the structure of the teachers’ networks
• Variables to be measured • Prediction accuracy and coverage • Effectiveness in terms of total number of visited, bookmarked, or rated
learning objects for two groups of users • Indegree distribution to study how the structure of teachers’ networks
changes
• Expected outcomes • Empirical data on prediction accuracy and coverage • The visualization of teachers’ networks
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Conclusion
• The aim is to support teachers to find the most suitable content or people
• Recommender systems as a solution • How to overcome the sparsity problem by use of
social data
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Ongoing and Further work
• Requirement analysis • Data collection (done)
• Teachers from the Netherlands • European teachers in an Open Discovery Space Summer School, Greece
• Publishing the results as an extensive requirement analysis for teachers all over the Europe (in progress)
• Data set study • Testing data sets with users’ ratings (successfully done) • Testing data sets based on implicit users’ feedback (tags, bookmarks,
comments, blogs, etc) (in progress)
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Soude Fazeli PhD candidate Open University of the Netherlands Centre for Learning Sciences and Technologies (CELSTEC) PO-‐Box 2960 6401 DL Heerlen, The Netherlands email: [email protected]