This paper constitutes a literature review on student modeling for the last decade. The
review aims at answering three basic questions on student modeling: what to model, how …

We study the incidence (rate of occurrence), persistence (rate of reoccurrence immediately
after occurrence), and impact (effect on behavior) of students' cognitive–affective states …

Research on the relationship between affect and cognition in Artificial Intelligence in
Education (AIEd) brings an important dimension to our understanding of how learning …

Scholars have indicated the importance of providing guidance and support for individual
learners. In the past decades, most studies have developed adaptive learning systems to …

Quantitative Field Observations (QFOs) of student behaviors and affective states in
classroom environments. Formerly known as the Baker Rodrigo Observation Method …

This study investigated the relationships among incoming knowledge, persistence, affective
states, in-game progress, and consequently learning outcomes for students using the game …

Some students, when working in interactive learning environments, attempt to “game the
system”, attempting to succeed in the environment by exploiting properties of the system …

Abstract Intelligent Tutoring Systems (ITSs) have been producing consistent learning gains
for decades. The authors describe here a conceptual framework that provides a guide to …

This paper brings together research from two different fields–user modelling and web
ontologies–in attempt to demonstrate how recent semantic trends in web development can …

We study which observable affective states and behaviors relate to students' achievement
within a CS1 programming course. To this end, we use a combination of human observation …