Self-regulated learning (SRL), learners' monitoring and control of cognitive, affective, metacognitive, and motivational processes, is essential for learning. However, cognitive and metacognitive SRL strategies are not typically used accurately leading to poor learning outcomes. Intelligent tutoring systems (ITSs) attempt to address this issue by…

Self-regulated learning conducted through metacognitive monitoring and scientific inquiry can be influenced by many factors, such as emotions and motivation, and are necessary skills needed to engage in efficient hypothesis testing during game-based learning. Although many studies have investigated metacognitive monitoring and scientific inquiry…

A number of authors have presented data that challenge the validity of self-report of strategy use or choice of strategy. We created a multiple-choice measure of students' strategy use based on the work of Kozminsky, E., and Kozminsky, L. (2001), and tested it with three samples as part of a series of studies testing the fit of the DIME model of…

Think-aloud and pre-test data were collected from 49 undergraduates with varying levels of prior domain knowledge to examine the relationship between prior domain knowledge and self-regulated learning with hypermedia. During the experimental session, each participant individually completed a pretest on the circulatory system, and then one 40-min…

Research shows that learners of all ages have difficulties deploying key cognitive and metacognitive self-regulatory skills during learning about complex and challenging topics when using open-ended learning environments such as hypermedia. This article provides an overview of the research my students and I have conducted on how the use of…