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This paper presents a solution proposal for the design of usable privacy-enhancing practices in personalization-pertinent systems. In particular, the focus is set on two issues: (i) the design of an Adaptable Privacy Statement that complies with well-known privacy principles and legal demands, and (ii) the description of how to link such an adaptable statement with user interface functions that enhance...
This paper summarizes our most relevant results of research and development work regarding a solution proposal for a privacy concept called user-centric privacy framework (UPF). In particular, our work focuses on user-adapting systems and follows three objectives: elaborate an adaptable privacy statement that complies with well-known privacy practices and with legal regulations; utilize privacy-enhancing...
At present, the success and tenet of modern adaptive e-learning systems is seen in the efficient semantic enrichment of courseware and in advanced personalization techniques. Automatic adaptation steps, though, lead often to personalized navigational elements in learning assets, which in turn may not fulfil a learner need, because this need changes after delivering the asset. Thus, semantic descriptors...
The topic of adaptation-pertinent systems was treated intensively by researchers before the era of computers, also in the field of teaching and learning. Further, e-learning is a relatively young term, but since the beginning of computer sciences in the middle of the past century, many systems and theoretical solution approaches were developed to enable digital education. This paper aims at reviewing...
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