The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

An emerging field of educational data mining (EDM) is building on and contributing to a wide
variety of disciplines through analysis of data coming from various educational technologies …

Education is a unique area for application of artificial intelligence (AI). In this article, the
augmentation perspective and the concept of hybrid intelligence are introduced to frame our …

In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …

It is generally acknowledged that engagement plays a critical role in learning. Unfortunately,
the study of engagement has been stymied by a lack of valid and efficient measures. We …

The development of machine learning has promoted the construction of smart education
platforms. It is of great significance to deeply investigate the usage of machine learning …

Cognitive Diagnosis Modeling aims to infer students' proficiency level on knowledge
concepts from their response logs. Existing methods typically model students' response …

Abstract Information and communication technology (ICT)‐enhanced research methods
such as educational data mining (EDM) have allowed researchers to effectively model a …

Educators and policymakers are keenly aware of the need to prepare students to compete in
an increasingly global society. It is widely accepted that a high school diploma is not …

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