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Second Special Issue on Learning Analytics in Computing Education

This is the second part of the ACM Transactions on Computing Education (TOCE) Special Issue on Learning Analytics in Computing Education. The two-part special issue was assembled following a call to practitioners and researchers from numerous disciplines to submit manuscripts that address theoretical and empirical research on the use of learning analytics in the service of computer science education. The two special issues include a collection of papers demonstrating empirical research and theory-based work on the use of learning analytics in computing education, including the ways in which data can be used to enhance the learning and teaching of computer science and programming and how learning analytics is helping advance our understanding of the teaching and learning of computing. We received 13 submissions at the intersection of learning analytics and computing education. Eight of them were accepted for publication in the special issue. Five papers were published in the first part of the special issue [1], and the remaining three are published in this second part of the special issue. Preference was given to empirical research.