CAD Readiness in Practice: Linking Access and Connectivity to Learning Preparedness in CAD Coursework
Abstract
This study examines CAD learning readiness and how it relates to students’ access and connectivity conditions in CAD coursework. Using a cross-sectional survey dataset (N = 204), responses that met embedded attention-check criteria were retained for analysis (n = 197). The instrument measured perceived ease of use (PEOU), perceived usefulness (PU), intrinsic motivation (IM), CAD self-efficacy (CSE), and CAD learning readiness (CLR) using 5-point Likert items. Reliability results indicated strong internal consistency across constructs (α = 0.80–0.92). Descriptive findings show generally high perceived usefulness (PU mean = 4.45) and intrinsic motivation (IM mean = 4.32), while CAD self-efficacy was comparatively lower and more variable (CSE mean = 3.85). Correlation analysis indicated that readiness is most strongly associated with self-efficacy (r = 0.78) and ease of use (r = 0.73). Group comparisons further revealed significant readiness differences by internet reliability (p < 0.001; moderate effect), while differences by hardware capability were smaller (p < 0.05; small effect). The results highlight that CAD readiness is shaped by both learner beliefs and infrastructural learning conditions, suggesting the need for confidence-building scaffolds and connectivity-resilient course design.
Date Published
August 28, 2026
Published in
Proceedings of the 2026 12th International Conference on Education and Training Technologies (ICETT)Publisher
IEEEKeywords
CAD learning readiness
computer-aided design education
digital divide
internet reliability
self-efficacy
technology acceptance model