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This paper reports on a study of the design, development and evaluation of two teaching analytics dashboards that visualize students’ repertory grid exercise data. The technical objective of the dashboards is to support teachers to investigate and compare personal constructs and element ratings by students for given topics of study at the individual student, group or classroom levels of analysis. The pedagogical objective of the dashboards is to facilitate formative assessment feedback to students and feed-forward refinements to ongoing instructional practices. The teaching analytics dashboards were integrated physiological and performance measures. Eye-tracking data from the two dashboards showed the relative importance of dashboard areas in each case in terms of aggregate gaze allocation. Findings informed the iterative design of the dashboards leading to teachers not being adversely affected by the visual clutter of the less important dashboard areas in their pedagogical decision-making. The results also showed that the dashboards were efficient and effective from a task performance perspective and were rated to be pleasant from a subjective satisfaction perspective. Regarding education technology innovation, teachers reported that such dashboards are lacking in their regular practice and would recommend their use in formal business educational settings.

Publication information

Original languageEnglish
Title of host publicationProceedings of the 49th Hawaii International Conference on System Sciences (HICSS 2016)
EditorsTung Bui, Ralph H. Sprague, Jr.
Place of PublicationLoa Alamitos, CA
PublisherIEEE
Publication date2016
Pages41-50
ISBN (print)9781479983896
ISBN (electronic)9780769556703
DOIs
StatePublished - 2016
Event - Kauai, Hawaii, United States

Conference

ConferenceThe 49th Hawaii International Conference on System Sciences. HICSS 2016
Nummer49
LandUnited States
ByKauai, Hawaii
Periode05/01/201608/01/2016
Internetadresse
SeriesAnnual Hawaii International Conference on System Sciences. Proceedings
Volume2016
ISSN1060-3425

Bibliographical note

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    Keywords

  • Teaching analytics, Dashboards, Repertory Grid, Bio-metric usability study

ID: 44433929