This paper introduces the Next-TELL independent open learner model which is constructed based on data from a range of sources. An example is presented for a university course, with the learner model built from the main activities undertaken during the course. Use of the Next-TELL open learner model over a five week period is described for this group of students, suggesting that independent open learner models built from multiple sources of data may have much to offer in supporting students' understanding of their learning, and could potentially be used to encourage greater peer interaction.
%0 Book Section
%1 citeulike:12473738
%A Bull, Susan
%A Johnson, Matthew
%A Alotaibi, Mohammad
%A Byrne, Will
%A Cierniak, Gabi
%B Artificial Intelligence in Education
%D 2013
%E Lane,
%E Yacef, Kalina
%E Mostow, Jack
%E Pavlik, Philip
%I Springer Berlin Heidelberg
%K open-user-model
%P 199--208
%R 10.1007/978-3-642-39112-5_21
%T Visualising Multiple Data Sources in an Independent Open Learner Model
%U http://dx.doi.org/10.1007/978-3-642-39112-5_21
%V 7926
%X This paper introduces the Next-TELL independent open learner model which is constructed based on data from a range of sources. An example is presented for a university course, with the learner model built from the main activities undertaken during the course. Use of the Next-TELL open learner model over a five week period is described for this group of students, suggesting that independent open learner models built from multiple sources of data may have much to offer in supporting students' understanding of their learning, and could potentially be used to encourage greater peer interaction.
@incollection{citeulike:12473738,
abstract = {{This paper introduces the Next-TELL independent open learner model which is constructed based on data from a range of sources. An example is presented for a university course, with the learner model built from the main activities undertaken during the course. Use of the Next-TELL open learner model over a five week period is described for this group of students, suggesting that independent open learner models built from multiple sources of data may have much to offer in supporting students' understanding of their learning, and could potentially be used to encourage greater peer interaction.}},
added-at = {2017-11-15T17:02:25.000+0100},
author = {Bull, Susan and Johnson, Matthew and Alotaibi, Mohammad and Byrne, Will and Cierniak, Gabi},
biburl = {https://www.bibsonomy.org/bibtex/2fc7a6bf6308e6916b2ac52b689187f9b/brusilovsky},
booktitle = {Artificial Intelligence in Education},
citeulike-article-id = {12473738},
citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-642-39112-5_21},
citeulike-linkout-1 = {http://link.springer.com/chapter/10.1007/978-3-642-39112-5_21},
comment = {Interesting update on the OLM work - now the concern is to show multiple sources in the same view...},
doi = {10.1007/978-3-642-39112-5_21},
editor = {Lane and Yacef, Kalina and Mostow, Jack and Pavlik, Philip},
interhash = {11dbb6a504402b12cb2c6f19b14160af},
intrahash = {fc7a6bf6308e6916b2ac52b689187f9b},
keywords = {open-user-model},
pages = {199--208},
posted-at = {2013-07-10 22:09:58},
priority = {0},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2017-11-15T17:02:25.000+0100},
title = {{Visualising Multiple Data Sources in an Independent Open Learner Model}},
url = {http://dx.doi.org/10.1007/978-3-642-39112-5_21},
volume = 7926,
year = 2013
}