There is an increasing interest in the ways pedagogical agents can provide cognitive, emotional, and metacognitive support to students. Moreover, several research studies have proposed various approaches for cultivating students' reflective learning. A variety of research has also been conducted into interrelations between metacognition and…

Computational models that automatically detect learners' affective states are powerful tools for investigating the interplay of affect and learning. Over the past decade, affect detectors--which recognize learners' affective states at run-time using behavior logs and sensor data--have advanced substantially across a range of K-12 and postsecondary…

A review of research on instructional methods at community colleges since 1970 is presented. Studies of individualized instruction, programmed instruction and computer application, media approaches, affective approaches, student-faculty interaction and learning outcomes, and peer tutoring are discussed. Positive impacts of the various methods are…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…