Attention Please!: Learning Analytics for Visualization and Recommendation
E. Duval. Proceedings of the 1st International Conference on Learning Analytics and Knowledge, page 9--17. New York, NY, USA, ACM, (2011)
DOI: 10.1145/2090116.2090118
Abstract
This paper will present the general goal of and inspiration for our work on learning analytics, that relies on attention metadata for visualization and recommendation. Through information visualization techniques, we can provide a dashboard for learners and teachers, so that they no longer need to "drive blind". Moreover, recommendation can help to deal with the "paradox of choice" and turn abundance from a problem into an asset for learning.
%0 Conference Paper
%1 citeulike:14274530
%A Duval, Erik
%B Proceedings of the 1st International Conference on Learning Analytics and Knowledge
%C New York, NY, USA
%D 2011
%I ACM
%K learning-analytics social-visualization
%P 9--17
%R 10.1145/2090116.2090118
%T Attention Please!: Learning Analytics for Visualization and Recommendation
%U http://dx.doi.org/10.1145/2090116.2090118
%X This paper will present the general goal of and inspiration for our work on learning analytics, that relies on attention metadata for visualization and recommendation. Through information visualization techniques, we can provide a dashboard for learners and teachers, so that they no longer need to "drive blind". Moreover, recommendation can help to deal with the "paradox of choice" and turn abundance from a problem into an asset for learning.
%@ 978-1-4503-0944-8
@inproceedings{citeulike:14274530,
abstract = {{This paper will present the general goal of and inspiration for our work on learning analytics, that relies on attention metadata for visualization and recommendation. Through information visualization techniques, we can provide a dashboard for learners and teachers, so that they no longer need to "drive blind". Moreover, recommendation can help to deal with the "paradox of choice" and turn abundance from a problem into an asset for learning.}},
added-at = {2018-03-19T12:24:51.000+0100},
address = {New York, NY, USA},
author = {Duval, Erik},
biburl = {https://www.bibsonomy.org/bibtex/28f909569b7df7027fc45c6251fc0ce50/aho},
booktitle = {Proceedings of the 1st International Conference on Learning Analytics and Knowledge},
citeulike-article-id = {14274530},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=2090118},
citeulike-linkout-1 = {http://dx.doi.org/10.1145/2090116.2090118},
doi = {10.1145/2090116.2090118},
interhash = {4d9c9289084e163808a1615b12f673d3},
intrahash = {8f909569b7df7027fc45c6251fc0ce50},
isbn = {978-1-4503-0944-8},
keywords = {learning-analytics social-visualization},
location = {Banff, Alberta, Canada},
pages = {9--17},
posted-at = {2017-02-08 15:49:06},
priority = {2},
publisher = {ACM},
series = {LAK '11},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{Attention Please!: Learning Analytics for Visualization and Recommendation}},
url = {http://dx.doi.org/10.1145/2090116.2090118},
year = 2011
}