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An Equation Model on the Professional Knowledge and Confidence for Future Employment of Students in Programs Supported With Emerging Technologies

Xifeng Liao

International Journal of Information Technology and Web Engineering2024https://doi.org/10.4018/ijitwe.357698article
ABDC C
Weight
0.30

What the paper says

Students enrolled in interdisciplinary programs supported with modern information technologies may face more challenges in learning, because they must learn from at least two curricula, including courses of big data, new media technologies and intelligent platform use, etc. Taking students in these programs as an example, this study aims to investigate relationships among eight variables related to student career development. The research employed the quantitative method of Pearson bivariate analysis, ANOVA and Hayes (2017) regression procedure to test the direct and indirect relationship among variables. The researcher developed a moderated mediation model visualizing the relationship between professional knowledge and confidence for successful employment. Recommendations of early intervention targeting first-year students and different curriculum designing were proposed to facilitate planning in the acquisition of professional knowledge and the establishment of career goals, aiming to enhance the career development and success of tertiary vocational college students.

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https://doi.org/https://doi.org/10.4018/ijitwe.357698

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@article{xifeng2024,
  title        = {{An Equation Model on the Professional Knowledge and Confidence for Future Employment of Students in Programs Supported With Emerging Technologies}},
  author       = {Xifeng Liao},
  journal      = {International Journal of Information Technology and Web Engineering},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.4018/ijitwe.357698},
}

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An Equation Model on the Professional Knowledge and Confidence for Future Employment of Students in Programs Supported With Emerging Technologies

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Evidence weight

0.30

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.