TY - GEN
T1 - ULearn: Personalized Medical Learning on the Web for Patient Empowerment
AU - Lenzitti, Biagio
AU - Helfert, Markus
AU - Taibi, Davide
AU - Alfano, Marco
AU - Alfano, Marco
PY - 2019
Y1 - 2019
N2 - Abstract. Health literacy constitutes an important step towards patient empowerment and the Web is presently the biggest repository of medical information and, thus, the biggest medical resource to be used in the learning process. However, at present web medical information is mainly accessed through generic search engines that do not take into account the user specific needs and starting knowledge and so are not able to support learning activities tailored to the specific user requirements. This work presents “ULearn” a meta engine that supports access, understanding and learning on the Web in the medical domain based on specific user requirements and knowledge levels towards what we call “balanced learning”. Balanced learning allows users to perform learning activities based on specific user requirements (understanding, deepinning, widening and exploring) towards his/her empowerment. We have designed and developed ULearn to suggest search keywords correlated to the different user requirements and we have carried out some preliminary experiments to evaluate the effectiveness of the provided information.
AB - Abstract. Health literacy constitutes an important step towards patient empowerment and the Web is presently the biggest repository of medical information and, thus, the biggest medical resource to be used in the learning process. However, at present web medical information is mainly accessed through generic search engines that do not take into account the user specific needs and starting knowledge and so are not able to support learning activities tailored to the specific user requirements. This work presents “ULearn” a meta engine that supports access, understanding and learning on the Web in the medical domain based on specific user requirements and knowledge levels towards what we call “balanced learning”. Balanced learning allows users to perform learning activities based on specific user requirements (understanding, deepinning, widening and exploring) towards his/her empowerment. We have designed and developed ULearn to suggest search keywords correlated to the different user requirements and we have carried out some preliminary experiments to evaluate the effectiveness of the provided information.
UR - http://hdl.handle.net/10447/387101
M3 - Conference contribution
SN - 978-3-030-35757-3; 978-3-030-35758-0
T3 - LECTURE NOTES IN COMPUTER SCIENCE
SP - 217
EP - 228
BT - Advances in Web-Based Learning – ICWL 2019. ICWL 2019
ER -