This document discusses a new perspective on spatial learning in virtual reality (VR) called self-regulated learning (SRL). It outlines that SRL research in VR focuses on essential characteristics of SRL, which has a broad research base, and that VR-based learning requires a high degree of learner self-regulation. The author presents their research methodology, theoretical framework based on Pintrich's general SRL model, and exploratory research objectives to collect data on multiple SRL dimensions using techniques like Camtasia and Screen Flow to develop an ongoing SRL taxonomy with potential future applications.