Hello everyone, and welcome to this quick presentation of the highlights of the Graduate Outcomes Survey results for childhood,  youth and Education Studies. Before we start, some of the graphs and statistics will be a bit busy,  so feel free to stop the video and look at the data more closely in all the slides where you see a red line, then that is the utilities.  The average it will always have with information attached.  Again, if you see a green line then that is the sector average for education.  Again, that information will be attached to avoid confusion.  Please do remember that for the sector average we are using the common aggregation hierarchies.  Object education. Education as a car is shared among several subjects in education.  For our purposes we will be using um car 22 0101 which is education as distinct from teacher training.  What you will see in the next few slides are highlights from the data.  You can delve more into the data through the go dashboard on teams.  Uh, the biggest question with all surveys is how good the response rate was.  Uh, childhood, youth and education has a similar response rate to the overall university rate.  However, that is still only about half the graduates.  Uh, we also see a fall in the number of students who took the last of the surveys.  So it is worth remembering to mention the survey students graduating.  Moving on to the data itself.  Just a quick explanation about the difference between employment in highly skilled employment in terms of the statistics.  The employment metric effectively identifies those graduates in further study and any type of employment.  The highly skilled employment metric, on the other hand,  specifically measures those whose jobs comes and their senior officials in organisations, professionals and associate professionals.  Uh, when it comes to employment, uh, talk with you that education has a slightly better employment rate than the university average.  However, the rate of highly skilled employment is much lower.  Importantly, it is much lower than the sector as well.  Looking at specific campuses.  The overall rate of employment is not much different, but the highly skilled employment statistics show considerable differences.  Swansea is very near the university. Average work among them is 10% lower.  Looking at responses by age, we see a stark difference between those in their early 20s.  In other words, those who started university when they were 18 and those over 30 under 24 have low,  highly skilled employment and low positive outcomes versus those over 30 who have both high  percentage of highly skilled employment and the very positive perception of their studies.  Looking at responses by gender, the difference is telling.  Demographically, there are very few male students, uh, in the subject, but the outcomes are very different.  Uh, more female graduates are employed, but not in highly skilled jobs.  Here, males outperform females. The same is true of the perception of positive outcomes where males are very positive while females not show.  Interestingly, this is not in any way relevant to the students results as in the same time frame.  Females outstrip males in terms of good owners.  Move along to focus a bit more into those graduates in highly skilled employment.  The main reason, uh, half of the respondents provided for taking their current job is that it faded into their career plan.  Another quarter identified it as an opportunity to progress within their existing organization.  Most highly skilled graduates work in Wales, with a clear concentration in Swansea and the surrounding area.  The main industry for highly skilled graduates from 2122 is education.  Uh. The main mentioned occupations are teaching professionals and welfare and housing professionals.  With some students being in other education professional roles.  Part of the question said asks graduates to reflect upon their career today.  For our purposes, the significant metric is that utilizes skills learned in studies.  I said that actually speaks to the employability skills and graduates perception of them.  Overall, the percentage of graduates who felt that their current employment utilized skills  they gained during their degree is good in comparison to the UW DSP as a whole.  There are no significant differences if we consider this in terms of campus or EDS, but there is a difference when considering gender.  Male graduates reflect the current work does not utilize the skills from that degree.  Very much unlike female graduates. Before we finish, there are two more metrics that are worth considering.  First of all, the percentage of graduates who went into further study.  Generally, the average for childhood use and education is a bit lower than the UW is the average, but follows the south average for education.  Uh, interestingly, effectively, all of the respondents went on to a further two, but went on to further study, went into a PGCE.  So what are the main takeaways?  Uh, first of all, we see a lower rate of highly skilled employment versus general rate of employment, and that's a more prominent issue in common.  Uh, younger graduates have a much lower rate of highly skilled employment.  The older ones and females have a lower rate of highly skilled employment versus males.  Thank you.