Psychometric Validation of the Self-Directed Learning Scale for Online Learning

Thursday, February 21 | 10:15AM–11:00AM PT | Pacific Promenade - Poster29
Session Type: Poster Session
Delivery Format: Poster Session
Recently, the effectiveness of online education to promote student learning has become an active area of research. To add to the literature, our study developed and validated a new instrument, the Self-Directed Learning Scale (SDLS), to examine students' perceptions of their ability to self-manage their own learning in an online environment. The psychometric properties of the SDLS were evaluated using the Rasch rating scale model. Results support the SDLS as a psychometrically sound instrument capable of producing valid and reproducible measures and also identified three problematic items requiring revision. Our study concludes with possible extensions of the SDLS to different race/ethnicity groups.

Outcomes: Validate the SDLS and understand its item hierarchy representing factors contributing to students' ability to self-manage their online learning * Investigate students' perceptions of characteristics and effectiveness of online learning environments * Identify grounds for improvement for the SDLS and its extensions to various race/ethnicity groups