Previous Master Theses Incentivizing Users for Balancing Bike Sharing Systems In this thesis, we tackle the imbalance problems in bike sharing systems such as the unavailability of bikes or parking docks at stations. We design a crowdsourcing mechanism that incentivizes the users in the bike repositioning process by providing them with alternate choices to pick or return bikes in exchange for monetary incentives. We deploy the proposed system through a smartphone app among users of a large-scale bike sharing system in Mainz, Germany. Results of this thesis are published as a conference paper at AAAI
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A Framework for Adaptive e-Learning by Keith Maycock, BSc. October Abstract Adaptive learning systems attempt to adapt learning content to suit the needs of the learners using the system.
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in a General-Purpose Adaptive Hypermedia System Natalia Stash. SIKS Dissertation Series No The research reported in this thesis has been carried out under the auspices of SIKS, the Incorporating Cognitive/Learning Styles in a General-Purpose Adaptive Hypermedia System.
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