MindYoga: Scaffolding the Metacognitive Reflection Process Within Learning Ecosystems
MindYoga: Scaffolding the Metacognitive Reflection Process Within Learning Ecosystems
Molly Pribble, Neha Sharma, Haoqi Zhang, Leesha Maliakal Shah
CHI'22: ACM Conference on Human Factors in Computing Systems
Session: Late Breaking Work (LBW)
Abstract
To learn how to self-direct research, students must learn to reflect and improve upon a diverse set of metacognitive skills. Models like Agile Research Studios (ARS) provide ecosystems of tools and processes designed to help students hone their reflection skills as they practice research. However, students still struggle to execute their reflection processes across the supports available to them, as experts coach them to do. MindYoga integrates process scaffolds that help students monitor and execute their metacognitive reflection process across an ARS ecosystem. Findings show students using MindYoga were (1) able to monitor which metacognitive risks may affect their upcoming project work, (2) able to develop action plans based on mentor feedback to address these risks, and (3) actively reminded of their action items during relevant practice sessions. Moving forward, process scaffolds like MindYoga can help learners develop and improve their work processes as they practice within learning ecosystems.
WEB:: https://chi2022.acm.org/
Pre-recorded presentations of CHI 2022