Design a Data Analytics Training System to Explore Behavioral Intention and Immersion for Internal Enterprise Education

Pei Hsuan Lin, Shih Yeh Chen, Ying Hsun Lai, Hsin Te Wu

Research output: Contribution to journalArticlepeer-review

Abstract

This research delves into the integration of the CDIO framework and gamified learning into a web crawling system, aiming to elevate the innovation and practical skills of corporate trainees. The study examines the effects on learning achievement, immersion, and behavioral intentions among corporate trainees. Results indicate that those utilizing the gamified web crawling learning system exhibit enhanced learning achievement. HMSAM analysis unveils notable standardized path coefficients, wherein perceived ease of use positively influences perceived usefulness, curiosity, joy, and control. Perceived usefulness and joy significantly impact behavioral intention to use, prompting corporate trainees to express a continued willingness to use the system. These findings deepen our comprehension of CDIO and gamified learning applications in corporate education and training, emphasizing the importance of aligning educational tools with the interests and preferences of corporate trainees.

Original languageEnglish
JournalJournal of Organizational and End User Computing
Volume36
Issue number1
DOIs
Publication statusPublished - 2024

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Science Applications
  • Strategy and Management

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