In this paper, we propose a new method for selecting cases for in situ, immediate interview research: detector-driven classroom interviewing (DDCI). Published work in educational data mining and learning analytics has yielded highly scalable measures that can detect key aspects of student interaction with computer-based learning in close to…

There are good reasons for higher education institutions to use learning analytics to risk-screen students. Institutions can use learning analytics to better predict which students are at greater risk of dropping out or failing, and use the statistics to treat "risky" students differently. This paper analyses this practice using…

When learners use computers, they typically look at the screen, type, use the mouse, talk, write, sketch and make gestures. This paper identifies technical, practical, ethical and methodological challenges associated with traditional methods for studying such interactions. It examines the potential of recent technologies for identifying learners'…