Every Student Needs a Learner Profile Driving Self-Regulated Learning

Authors

  • Nancy Weinstein Mindprint Learning, LLC

Keywords:

learner profile, jagged profile, self-regulated learning, self-awareness, cognitive skills, Dunning-Kruger effect, expert learner

Abstract

Self-awareness of one’s unique combination of strengths and needs is an essential first step of self-regulated learning. However, research suggests that most students lack the self-awareness they need to make good learning decisions.
An objective learner profile of how a student understands and retains best, their cognitive strengths and needs in the areas of reasoning, memory, processing, and executive functions, can play an instrumental role in developing student self-awareness. Since these are hidden skills, most students and teachers benefit from deliberate training on how to identify and support students’ strengths and needs. Once foundational self-awareness skills are established, students are well-positioned to become self-regulated learners.

Author Biography

  • Nancy Weinstein, Mindprint Learning, LLC

    Self-awareness of one’s unique combination of strengths and needs is an essential first step of self-regulated learning. However, research suggests that most students lack the self-awareness they need to make good learning decisions.
    An objective learner profile of how a student understands and retains best, their cognitive strengths and needs in the areas of reasoning, memory, processing, and executive functions, can play an instrumental role in developing student self-awareness. Since these are hidden skills, most students and teachers benefit from deliberate training on how to identify and support students’ strengths and needs. Once foundational self-awareness skills are established, students are well-positioned to become self-regulated learners.

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Published

2018-04-26

Issue

Section

Research Articles

How to Cite

Every Student Needs a Learner Profile Driving Self-Regulated Learning. (2018). Journal of Human and Connected Computing, 10(1). https://journals.ku.edu/hcc/article/view/12019