Guidelines for Tree-based Collaborative Goal Setting

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

9 Citations (Scopus)

Abstract

Educational technology needs a model of learning goals to support motivation, learning gain, tailoring of the learning process, and sharing of the personal goals between different types of users (i.e., learner and educator) and the system. This paper proposes a tree-based learning goal structuring to facilitate personal goal setting to shape and monitor the learning process. We developed a goal ontology and created a user interface representing this knowledge-base for the self-management education for children with Type 1 Diabetes Mellitus. Subsequently, a co-operative evaluation was conducted with healthcare professionals to refine and validate the ontology and its representation. Presentation of a concrete prototype proved to support professionals' contribution to the design process. The resulting tree-based goal structure enables three important tasks: ability assessment, goal setting and progress monitoring. Visualization should be clarified by icon placement and clustering of goals with the same difficulty and topic. Bloom's taxonomy for learning objectives should be applied to improve completeness and clarity of goal content.
Original languageEnglish
Title of host publicationIUI'17
Subtitle of host publicationProceedings of the 22nd International Conference on Intelligent User Interfaces
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages401-405
Number of pages5
ISBN (Print)978-1-4503-4348-0
DOIs
Publication statusPublished - Mar 2017
EventIUI 2017: The 22nd annual meeting of the intelligent user interfaces community - St. Raphael Resort, Limassol, Cyprus
Duration: 13 Mar 201716 Mar 2017
Conference number: 22
http://iui.acm.org/2017/

Conference

ConferenceIUI 2017
Abbreviated titleACM IUI 2017
Country/TerritoryCyprus
CityLimassol
Period13/03/1716/03/17
Internet address

Keywords

  • Diabetes
  • Healthcare
  • Education
  • Learning goal-setting
  • Personalization
  • Collaboration
  • Visualization
  • Knowledge-base

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