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Along with the development of information system technology in the 21st century, the world has faced Industrial Revolution 4.0, this enhance transformation impacted all industries, including Education to create a new ecosystem named Education 4.0. This utilizes Electronic learning (E-learning) and many high institutions applied the E-learning system in their education scheme, but the level usage of e-learning is relatively low because of the lack of intention from lecturers as the user. This paper analyzed the factors that influence continuous intention in using e-learning with combined models; TAM (Technology Acceptance Model), TPB (Theory of Planned Behavior), ECM (Expectation Confirmation Model), and Flow Theory, and the results are continuance intention was associated with attitude, perceived enjoyment, perceived usefulness, satisfaction, confirmation, and perceived ease of use. Based on these factors, the researchers created and prioritized the strategies using Quality Function Deployment and concluded the improvements to increase the intention are training e-learning systems to users, add new interactive features, and enhancement in the e-learning interface.
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Stored only when both papers are in the corpus — 7 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.