Internet-Based Learning Analytics for Entrepreneurship Education: Cognitive Filtering Mechanisms and an AI-Enabled Readiness-Screening Model

초록

We conceptualize internet-based, digitally mediated entrepreneurship education as a cognitive filtering mechanism that shapes when learners shift into high-commitment venture preparation. Using an end-ofmodule survey and platform interaction traces captured by an online learning system, we estimate a structural model in which digital interactivity and bridging social capital relate to preparation behavior both directly and indirectly via entrepreneurial self-efficacy and behavioral intention. The indirect effects are statistically reliable but modest, indicating a partial mediation pattern consistent with a “gate” interpretation without implying strict temporal ordering. Building on this mechanism test, we specify a deployment-oriented readiness-screening module (early-warning ready) that classifies learners as higher- vs lower-readiness for follow-up support before subsequent venture activities. The module operationalizes an internet-based learning-analytics pipeline using log- and survey-derived features, with leakage-safe user-level splits, ablation tests, probability calibration, and subgroup diagnostics. The results clarify design levers for platform-based programs and provide an implementable decision-support specification for mentoring triage that is transparent about the limits of cross-sectional inference.

키워드

Internet-based learning analyticsEntrepreneurship educationCognitive filtering mechanismStructural equation modelingReadiness screeningDecision-support systemTrustworthy machine learning
제목
Internet-Based Learning Analytics for Entrepreneurship Education: Cognitive Filtering Mechanisms and an AI-Enabled Readiness-Screening Model
저자
원상필이종민
DOI
10.7236/IJIBC.2026.18.2.150
발행일
2026-04
유형
Y
저널명
The International Journal of Internet, Broadcasting and Communication
18
2
페이지
150 ~ 162