Extensive literature in artificial intelligence in education focuses on develo** automated
methods for detecting cases in which students struggle to master content while working with …

Building reliable interactive systems has been identified as an important and difficult task
from the late '60s. One approach to augment the reliability of interactive systems is to use …

In recent years, at least from the advent of the standards movement in the 1980s (Porter,
1993), expectations have risen that all assessments—not just those designed to be used …

We present a novel approach to intro-to-programming domain model discovery from
textbooks using an over-generation and ranking strategy. We first extract candidate key …

We report our exploratory research of psychomotor task training in intelligent tutoring
systems (ITSs) that are generally limited to tutoring in the desktop learning environment …

This chapter presents an overview of domain models and domain modeling techniques and
methods with a focus on their application in the area of adaptive instructional technologies …

Domain modeling is a central component in education technologies as it represents the
target domain students are supposed to train on and eventually master. Automatically …

The current paper contains elements relevant for the conceptual modelling and
interoperability of measurements and assessments across adaptive instructional systems …

People appear to practice what they do know rather than what they do not know [1],
suggesting a necessity of an improved assessment of multi-level complex skill components …

Data from student learning provide learning curves that, ideally, demonstrate improvement
in student performance over time. Existing data mining methods can leverage these data to …