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

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
Copyright: © 2024 |Pages: 18
DOI: 10.4018/JOEUC.337796
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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.
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Literature Review

Web Crawlers

Web crawler refers to a program or script that systematically and automatically browses websites (Kausar et al., 2013; Lawson, 2015). With the widespread use of the internet in recent years, it has provided people with vast amounts of information, often in unstructured form (Sirisuriya, 2015), making the task of finding relevant and valuable information time-consuming. Therefore, the ability to automatically discover valuable information from the web has been developed as a response to information overload (Lu et al., 2017). Through web crawlers, it becomes possible to quickly locate interesting content in this vast and complex internet landscape without manually searching websites (Hillen, 2019).

The application of web crawlers in various fields is not uncommon (Khder, 2021). The data collected through web crawling not only saves time but also lays the foundation for a significant amount of basic data for data mining (Bar-Ilan, 2001; Thelwall, 2001). This allows for more in-depth analysis and information applications, such as market analysis, price comparison, trend analysis, and more (García-Mendoza & Juárez Gambino, 2022; Gendreau et al., 2022; Lee et al., 2023; Lu et al., 2017). Data mining has become a popular contemporary topic, and to better cope with this scenario, enhancing awareness and skills in web crawling is particularly important. Therefore, this study will use air quality indicators, Taiwan Bank exchange rates, weather forecasts, and real-time weather as data collection targets.

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