astra domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/studyfoxx/public_html/proactivetraining.com.au/news/wp-includes/functions.php on line 6131In December last year NCVER\u2019s student outcomes survey reported that VET studies had improved employment outcomes for VET graduates and others undertaking VET programs.<\/p>\n
As the report<\/u><\/a> found, \u201cin 2022, 65.0% of qualification completers had an improved employment status after training, up 4.4\u00a0percentage points from 2021.\u201d In addition, nearly 59% of qualification part-completers \u201chad an improved employment status after training, up 2.7\u00a0percentage points from 2021.\u201d<\/p>\n The most common reason for taking a VET program was to get a job, or that it was a requirement of the job. The survey found that for qualification completers and part-completers the most common reason for doing the program was ‘to get a job’ (at 24.0% and 20.7% respectively). In contrast, for short course completers, short course part-completers and subject(s) only completers the most common reason for undertaking the program was that ‘it was a\u00a0requirement of my job’ (at 35.9%,\u00a048.5% and\u00a051.5%, respectively).<\/p>\n Undertaking some form of course also improved employment outcomes and in 2022\u00a0\u201cthe proportions with improved employment status after training were:<\/p>\n So, generally, there were positive benefits, including being employed at a higher skills level or in a better job. Those without a job prior to training also saw a positive benefit, with nearly 50% employed after training if they completed. These results were up by around 6% on 2021 data. For part completers: \u201c47.2% were employed after training, up 8.0 percentage points from 2021.\u201d<\/p>\n As the survey<\/u><\/a> also found, of those employed after training, 78% of qualification completers received at least one job-related benefit, while 69.5% of qualification part-completers received also received benefit, and<\/p>\n The most commonly cited job-related benefit was ‘gained extra skills for my job’, cited by 45.0% of qualification completers and 47.0% of part-completers, followed by ‘got a new job or changed my job’ (34.6% of qualification completers and 25.7% of part-completers).<\/p>\n<\/blockquote>\n As always, satisfaction levels were high – around the 90%+ mark – and especially for those that completed a course, short course or subject. In 2022, proportions of students satisfied with the training overall were:<\/p>\n While there are a range of reasons for not completing, the main ones are \u2018changing jobs or starting a new job\u2019 (19%), \u2018personal reasons\u2019 (18.4%) or \u2018the training was not as expected\u2019 (11%).<\/p>\n The outcomes survey also looks at online learning and the effects of the COVID pandemic on training. In relation to experiences with online learning and satisfaction with it, course completers were generally more satisfied with the quality of the training and the support received than those who were part completers. The survey also gives some attention to outcomes for short course completers; relevant to the increasing interest in skills sets and micro-credentials. This is worth a look if readers are getting into that area.<\/p>\n DataBuilder\u00a0gives you\u00a0\u201cextensive data on students\u2019 satisfaction with training, reasons for training, and their employment and further study outcomes. You can\u00a0\u201cfilter by a selection of variables (including by state or territory), view the margins of error (to determine the amount of certainty\/error in survey estimates) and export their results:<\/p>\n You can look at the overall VET student outcomes<\/u><\/a>\u00a0for 2022 or just the government-funded student outcomes<\/u><\/a>.<\/p>\nThere were job-related benefits<\/h2>\n
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Satisfaction with training remains high<\/h2>\n
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So, why don\u2019t people complete?<\/h2>\n
Other matters the paper looks at<\/h2>\n
You can use NCVER\u2019s DataBuilder to explore further<\/h2>\n