The interpretation of graphs plays a pivotal role in education because it is relevant for
understanding and representing data and comprehending concepts in various domains …

This paper illustrates how process data can be used to identify behavioral patterns in a
computer-based problem-solving assessment. Using sequence-mining techniques, we …

This paper explores a longitudinal approach to combining engagement, performance and
social connectivity data from a MOOC using the framework of exponential random graph …

Eye movements have been examined as an index of attention and comprehension during
reading in the literature for over 30 years. Although eye-movement measurements are …

The emerging field of robotics education (RE) is a new and rapidly growing subject area
worldwide. It may provide a playful and novel learning environment for children to engage …

Substantial progress has been made in understanding how teachers design for learning.
However, there remains a paucity of evidence of the actual students' response towards …

In the last five years, learning analytics has proved its potential in predicting academic
performance based on trace data of learning activities. However, the role of pedagogical …

40 Oranje, Gorin, Jia, and Kerr products). The result is that findings from those sources have
been very limited representing more digital desert than ocean (DiCerbo & Behrens, 2012) …

Eye-tracking technology has expanded our ability to quantitatively measure human
perception. This rich data source has been widely used to characterize human behavior and …

The development of human‐computer interactive items in educational assessments
provides opportunities to extract useful process information for problem‐solving. However …