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Assessing Learners’ Perceptions of Graduate Employability

doi: 10.3390/su12020460
handle: 1959.3/453517
The rapid advancement of technology, including the internet of things (IoT), industry 4.0, and smart cities, revealed an excess need for career-ready graduates. It is expected that a career-ready graduate is technically competent and possess professional skills acquired via the experiential learning incorporated into the curriculum. But the gap exists with the learners understanding of requirements and opportunities associated with graduate employability. In this research, we focus on evaluating the learners’ experiences, expectations, and perceptions of graduate employability in an engineering curriculum. In this research, the interpretations of students on the graduate employability and the extent of influence that exists based on the learning outcomes of the graduate course are examined. The gaps between the academic environment and graduate employability awareness are highlighted. Later, a national language processing-based sentiment analyzer is used to evaluate the student’s perceptions. Results from the analysis portrayed that the different levels of expectation and experiences that prevailed in the graduate course based on the conceptual idea of graduate employability need substantial focus in future curriculum development.
- Swinburne University of Technology Australia
- Swinburne University of Technology Australia
- Deakin University Australia
- Deakin University Australia
Environmental effects of industries and plants, engineering education, TJ807-830, TD194-195, 420, Renewable energy sources, Environmental sciences, graduate learning outcomes, sentiment analysis, national language processing, GE1-350, student perception
Environmental effects of industries and plants, engineering education, TJ807-830, TD194-195, 420, Renewable energy sources, Environmental sciences, graduate learning outcomes, sentiment analysis, national language processing, GE1-350, student perception
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).9 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
