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Quantitative Ethnography (QE) is an emerging methodological approach that combines ethnographic and statistical tools to analyze both Big Data and smaller data to study human behavior and interactions. This paper presents a methodological scoping review of 60 studies employing QE approaches with an intention to characterize and establish where the boundaries of QE might and should be in order to establish the identity of the field. The key finding is that QE researchers have enough commonality in their approach to the analysis of human behavior with a strong focus on grounded analysis, the validity of codes and consistency between quantitative models and qualitative analysis. Nonetheless, in order to reach a larger audience, the QE community should attend to a number of conceptual and methodological issues (e.g. interpretability). We believe that the strength of work from individual researchers reported in this review and initiatives such as the recently established International Society for Quantitative Ethnography (ISQE) can present a powerful force to shape the identity of the QE community.

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Learning analytics is a maturing field that analyses educational data to gain new insights and improve learning. Peer assessment is an assessment technique in which students provide feedback to one another. To date, there have been no reviews examining how learning analytics is used to facilitate peer assessment. This scoping review addresses this gap and provides an overview of the role of learning analytics in understanding peer assessment, the peer assessment challenges addressed by learning analytics, and insights into peer assessment. The 27 papers in the review highlight a diverse landscape of research integrating automated assessment and visualizations into peer assessment activities, applying novel data analysis methods to peer assessment data, evaluating different types of peer assessment, or examining new research questions, such as those regarding student interaction or self-regulation during peer assessment activities.