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Air traffic controllers (ATCOs) play a fundamental role in the safe, orderly and efficient management of air traffic. In the interests of improving safety, it would be beneficial to know what the workload thresholds are that permit ATCOs to carry out their functions safely and efficiently. The purpose of this paper is to present the development of a simulation platform to be able to validate an affective-cognitive performance methodology based on neurophysiological factors applied to ATCOs, to define the said thresholds.

The process followed in setting up the simulation platform is explained, with particular emphasis on the design of the program of exercises. The tools designed to obtain additional information on the actions of ATCOs and how their workload will be evaluated are also explained.

To establish the desired methodology, a series of exercises has been designed to be simulated. This paper describes the project development framework and validates it, taking preliminary results as a reference. The validation of the framework justifies further study to extend the preliminary results.

This paper describes the first part of the project only, i.e. the definition of the problem and a proposed methodology to arrive at a workable solution. Further work will concentrate on carrying out a program of simulations and subsequent detailed analysis of the data obtained, based on the conclusions drawn from the preliminary results presented.

The methodology will be an important tool from the point of view of safety and the work carried out by ATCOs. This first phase is crucial as it provides a solid foundation for later stages.

The authors proposed that participation in large-scale, structured events designed to match students to employers' internship opportunities could support students' employability by focussing students' career goals, strengthening students' career self-efficacy and growing students' social capital.

Interviews were carried out with 49 students both before and after the students took part in the event to assess whether students career goals, self-efficacy or social capital changed after taking part in the events. In the second interview, the authors also asked students what outcomes students gained from the event and how the event process had contributed to these outcomes.

Students' descriptions of their outcomes from the event aligned with social capital theory and self-efficacy theory. The students valued the information, connections, skills and experience they developed through taking part in the interviews and connecting with employers and students. The longitudinal analyses revealed that most students career goals did not change, but students' career self-efficacy improved and students could identify more actions for achieving their career goals after taking part in the event. Importantly, these actions were often explicitly connected with information or connections that students gained from the event.

The interviews illustrate that students can build social capital from short, one-on-one engagement with employers that then enable them to identify ways of furthering students' career goals. The authors' findings suggest that structured, event-based engagement with employers can provide an efficient and equitable means of enhancing students' social capital and career self-efficacy.