
Introduction Special Issue on Self-Regulation
Author(s) -
Rustain Morgan,
Julie Saam
Publication year - 2020
Publication title -
journal of teaching and learning with technology
Language(s) - English
Resource type - Journals
ISSN - 2165-2554
DOI - 10.14434/jotlt.v9i1.31277
Subject(s) - metacognition , work (physics) , psychology , mathematics education , active learning (machine learning) , pedagogy , computer science , engineering , artificial intelligence , cognition , mechanical engineering , neuroscience
We find this verbalized in many ways by those inside higher education and those outside of academia but nonetheless it remains true: “Whoever does the work does the learning” (Wong, 2013). Would you like to have your students take ownership of their learning? Wouldn’t you like your students to “do the work?” For this to happen successfully, we need to create learning environments that scaffold and personalize their learning. In turn, our students are more likely to develop metacognition and begin to self-regulate their own learning. The contributions to this special issue of the Journal of Teaching and Learning With Technology highlight how instructors have used their learning management system (LMS) to help their students self-regulate learning. We are excited to share with you ways to get your students “working.”