Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Navigation support in complex open learner models: assessing visual design alternatives

Guerra, J and Schunn, CD and Bull, S and Barria-Pineda, J and Brusilovsky, P (2018) Navigation support in complex open learner models: assessing visual design alternatives. New Review of Hypermedia and Multimedia, 24 (3). 160 - 192. ISSN 1361-4568

[img] Plain Text (licence)
Download (1kB)
Download (5MB) | Preview


Open Learner Models are used in modern e-learning to show system users the content of their learner models. This approach is known to prompt reflection, facilitate planning and navigation. Open Learner Models may show different levels of detail of the underlying learner model, and may structure the information differently. However, a trade-off exists between useful information and the complexity of the information. This paper investigates whether offering richer information is assessed positively by learners and results in more effective support for learning tasks. An interview pre-study revealed which information within the complex learner model is of interest. A controlled user study examined six alternative visualisation prototypes of varying complexity and resulted in the implementation of one of the designs. A second controlled study involved students interacting with variations of the visualisation while searching for suitable learning material, and revealed the value of the design alternative and its variations. The work contributes to developing complex open learner models by stressing the need to balance complexity and support. It also suggests that the expressiveness of open learner models can be improved with visual elements that strategically summarise the complex information being displayed in detail.


Social Networking:
Share |


Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Guerra, J
Schunn, CDschunn@pitt.eduSCHUNN0000-0003-3589-297X
Bull, S
Barria-Pineda, J
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 3 July 2018
Date Type: Publication
Journal or Publication Title: New Review of Hypermedia and Multimedia
Volume: 24
Number: 3
Page Range: 160 - 192
DOI or Unique Handle: 10.1080/13614568.2018.1482375
Schools and Programs: School of Computing and Information > Information Science
Refereed: Yes
ISSN: 1361-4568
Date Deposited: 10 Dec 2018 19:55
Last Modified: 17 Jul 2021 10:55


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item