Designing translucent learning analytics with teachers: an elicitation process

Roberto Martinez-Maldonado, Doug Elliott, Carmen Axisa, Tamara Power, Vanessa Echeverria, Simon Buckingham Shum

Research output: Contribution to journalArticleResearchpeer-review

8 Citations (Scopus)

Abstract

Learning Analytics (LA) systems can offer new insights into learners’ behaviours through analysis of multiple data streams. There remains however a dearth of research about how LA interfaces can enable effective communication of educationally meaningful insights to teachers and learners. This highlights the need for a participatory, horizontal co-design process for LA systems. Inspired by the notion of translucence, this paper presents LAT-EP (Learning Analytics Translucence Elicitation Process), a five-step process to design for the effective use of translucent LA systems. LAT-EP was operationalised in an authentic multimodal learning analytics (MMLA) study in the context of teamwork in clinical simulation. Results of this process are illustrated through a series of visual proxies co-designed with teachers, each presenting traces of social, physical, affective and epistemic evidence captured while teams of student nurses practised clinical skills in a simulated hospital setting.

Original languageEnglish
Number of pages15
JournalInteractive Learning Environments
DOIs
Publication statusAccepted/In press - 19 Jan 2020

Keywords

  • co-design
  • CSCL
  • human-centred analytics
  • Multimodal
  • orchestration
  • teamwork

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