Vol. 5 No. 2 (2018): Methodological Choices in Learning Analytics

Special Section: Methodological Choices in Learning Analytics

• What Does Methodology Mean for Learning Analytics?

  Yoav Bergner, Geraldine Gray, Charles Lang

  1–8

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• From Social Ties to Network Processes: Do Tie Definitions Matter?

  Ed Fincham, Dragan Gašević, Abelardo Pardo

  9–28

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• Learning As It Happens: A Decade of Analyzing and Shaping a Large-Scale Online Learning System

  Matthieu J. S. Brinkhuis, Alexander O. Savi, Abe D. Hofman, Frederik Coomans, Han L. J. van der Maas, Gunter Maris

  29–46

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• Embedding Experiments: Staking Causal Inference in Authentic Educational Contexts

  Benjamin A. Motz, Paulo F. Carvalho, Joshua R. de Leeuw, Robert L. Goldstone

  47–59

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• Visualizing Data to Support Judgement, Inference, and Decision Making in Learning Analytics: Insights from Cognitive Psychology and Visualization Science

  Sakinah S.J. Alhadad

  60–85

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• Metrics for Discrete Student Models: Chance Levels, Comparisons, and Use Cases

  Nigel Bosch, Luc Paquette

  86–104

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• Evaluating Predictive Models of Student Success: Closing the Methodological Gap

  Joshua Patrick Gardner, Christopher Brooks

  105-125

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