This article (18 page PDF) proposes a "Student-Centered Learning Analytics-enhanced Self-Regulated Learning (SCLA-SRL) methodology" to guide research on developing developing dashboards for learners. This is need, argue the authors, because "the design of the indicators is rarely grounded in learning theories" and " the indicators are... often not well aligned with user needs." Moreover, most human-centered learning analytics (HCLA) "is not informed by well-established InfoVis design guidelines." As a case study, the SCLA-SRL methodology was applied "to design LA indicators to support SRL activities of bachelor students attending an introductory Python programming course," and this is described in the paper.
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