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Involving users to improve the collaborative logical framework.

Santos OC, Boticario JG - ScientificWorldJournal (2014)

Bottom Line: At aDeNu research group we have proposed the Collaborative Logical Framework (CLF) to create effective scenarios that support learning through interaction, exploration, discussion, and collaborative knowledge construction.This approach draws on artificial intelligence techniques to support and foster an effective involvement of students to collaborate.At the same time, the instructors' workload is reduced as some of their tasks-especially those related to the monitoring of the students behavior-are automated.

View Article: PubMed Central - PubMed

Affiliation: aDeNu Research Group, Computer Science School, UNED, Calle Juan del Rosal 16, 28040 Madrid, Spain.

ABSTRACT
In order to support collaboration in web-based learning, there is a need for an intelligent support that facilitates its management during the design, development, and analysis of the collaborative learning experience and supports both students and instructors. At aDeNu research group we have proposed the Collaborative Logical Framework (CLF) to create effective scenarios that support learning through interaction, exploration, discussion, and collaborative knowledge construction. This approach draws on artificial intelligence techniques to support and foster an effective involvement of students to collaborate. At the same time, the instructors' workload is reduced as some of their tasks-especially those related to the monitoring of the students behavior-are automated. After introducing the CLF approach, in this paper, we present two formative evaluations with users carried out to improve the design of this collaborative tool and thus enrich the personalized support provided. In the first one, we analyze, following the layered evaluation approach, the results of an observational study with 56 participants. In the second one, we tested the infrastructure to gather emotional data when carrying out another observational study with 17 participants.

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CLF structure.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig1: CLF structure.

Mentions: The CLF is designed as a domain-independent tool and is supported by a user model built from learners' interactions within the collaboration task. The goal is that learners work collaboratively to provide an agreed solution. An interaction stage can take place once at the beginning of the CLF. This stage is preparatory and simulates a CLF to teach the CLF methodology and facilitate the deployment of the CLF by gathering interaction data that can be used to build an initial collaboration model of the learners. After that, several CLF can be carried out, as outlined in Figure 1.


Involving users to improve the collaborative logical framework.

Santos OC, Boticario JG - ScientificWorldJournal (2014)

CLF structure.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3921980&req=5

fig1: CLF structure.
Mentions: The CLF is designed as a domain-independent tool and is supported by a user model built from learners' interactions within the collaboration task. The goal is that learners work collaboratively to provide an agreed solution. An interaction stage can take place once at the beginning of the CLF. This stage is preparatory and simulates a CLF to teach the CLF methodology and facilitate the deployment of the CLF by gathering interaction data that can be used to build an initial collaboration model of the learners. After that, several CLF can be carried out, as outlined in Figure 1.

Bottom Line: At aDeNu research group we have proposed the Collaborative Logical Framework (CLF) to create effective scenarios that support learning through interaction, exploration, discussion, and collaborative knowledge construction.This approach draws on artificial intelligence techniques to support and foster an effective involvement of students to collaborate.At the same time, the instructors' workload is reduced as some of their tasks-especially those related to the monitoring of the students behavior-are automated.

View Article: PubMed Central - PubMed

Affiliation: aDeNu Research Group, Computer Science School, UNED, Calle Juan del Rosal 16, 28040 Madrid, Spain.

ABSTRACT
In order to support collaboration in web-based learning, there is a need for an intelligent support that facilitates its management during the design, development, and analysis of the collaborative learning experience and supports both students and instructors. At aDeNu research group we have proposed the Collaborative Logical Framework (CLF) to create effective scenarios that support learning through interaction, exploration, discussion, and collaborative knowledge construction. This approach draws on artificial intelligence techniques to support and foster an effective involvement of students to collaborate. At the same time, the instructors' workload is reduced as some of their tasks-especially those related to the monitoring of the students behavior-are automated. After introducing the CLF approach, in this paper, we present two formative evaluations with users carried out to improve the design of this collaborative tool and thus enrich the personalized support provided. In the first one, we analyze, following the layered evaluation approach, the results of an observational study with 56 participants. In the second one, we tested the infrastructure to gather emotional data when carrying out another observational study with 17 participants.

Show MeSH