Main Article Content
Over 2019 the breadth of articles published in the Journal of Learning Analytics reflects the diversity of contributions to the field, including quantitative, qualitative and design-based studies and contributions through the different submission types (Research, Practical, Data and Tools, and Book Review). This year we have also published two special sections. The first is a set of empirical papers related to the emerging area of Human-Centered Learning Analytics. In this section, five sets of authors each address the core challenge of how to design and implement learning analytics in ways that are people- rather than technology-centric to achieve impact in the field. The second is a new format for the journal, an invited dialogue around a critical community issue. In this section Neil Selwyn asks the intentionally provocative question “what’s the problem with learning analytics?”, which is engaged with by four respondents from the community, representing a variety of different perspectives. Both of these special sections tackle, in their own way, a central issue for the learning analytics community: how we ensure that the work we do has positive impact in the world.
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