Technologies Supporting Self-Regulated Learning

The ubiquity and widespread use of advanced learning technologies (ALTs) poses numerous challenges for learners. Learning with these nonlinear, multirepresentational, open-ended learning environments typically involves the use of a multitude of self-regulatory processes such as planning, reflection, and metacognitive monitoring and regulation. Unfortunately, learners do not always monitor and regulate these processes during learning with ALTs, which limits these environments’ effectiveness as educational tools to enhance learning about complex and challenging topics and domains such as science, math, and medicine. This entry provides an overview of ALTs that support self-regulated learning (SRL). It also gives examples of key self-regulatory skills used when learning with ALTs, provides brief examples of four contemporary ALTs that are designed to support SRL, and discusses implications for the future of ...

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