Across various countries and jurisdictions, we have seen reports of a “graduate skills gap”, with higher-than-desired graduate unemployment and underemployment, as well as reports from employers that there is a mismatch between the competencies desired by employers and those evidenced by graduates. Graduate employment prospects are related to many complex intersecting factors, including human capital, individual attributes, individual career-building behaviours, labour market factors, and social capital. Alongside the graduate skills gap, there are also reports internationally of a “digital skills gap”, with increasing demand for digital skills and a proclaimed shortage of diverse digital skills evidenced by the workforce. These circumstances appear to promote positive employment outcomes for computing graduates. However, there are reports in many jurisdictions, including the UK, of skills-gap-related issues for computing graduates. In response to these concerns, curricula guidance in the computing and engineering disciplines are increasingly promoting competency-based education (CBE) to develop graduates' work readiness better and, hence, reduce the skills gap. Authentic Assessment, i.e. Assessment that addresses important problems or questions that require students to effectively and creatively apply their knowledge and disciplinary and personal skills, mirroring the challenges faced by adults or professionals in the real-world context, has also been advocated to reduce skills gaps between education and professional life. However, the link between CBE and Authentic Assessment in the computing discipline could benefit from further exploration. This paper explores the relationship between CBE and authentic assessment. Based on the guiding research question: “How can authentic assessment be employed to promote competency in computing degree programmes?”, the paper begins by providing theoretical underpinnings in the form of working definitions for competency and authentic assessment and the link between the two. This paper follows a proof-of-concept research approach conducted by evolutionary prototyping to develop a framework for exploring the relationship between authentic assessment and competency. The paper documents the validation of the framework by applying it to examples of practices from UK universities involved in the study. These illustrative examples show the framework in action. The paper concludes with a discussion of how the framework promotes learner competency development by authentic assessment. This approach has implications for enhancing how computing graduates address digital skills gaps and has the potential to be customised and adopted more broadly across STEM disciplines.

Many factors influence computing graduate employment prospects, including human capital, social capital, individual attributes, individual career-building behaviours, perceived employability, and labour market factors. Whilst most computing graduates go on to be beneficially employed, a small minority remain under-employed or unemployed. Computing curricular recommendations increasingly advocate a competency-based approach to bolster graduates' perceived employability. Hence, the discipline is evolving to incorporate competency-based approaches. However, competency-based can mean any of three different types of competency: technical, personal and professional. Technical Competency is the ability to apply acquired content knowledge and skills to develop solutions to unseen problems. Personal Competency is the personal behaviours and interpersonal skills required for success in the modern workplace. Professional Competency is Technical and Personal combined and applied in a real-world context.

In the UK, a thriving computer science education community of practice is emerging, supported by national and international professional body/learned society specialist interest groups, and being developed through relevant research and practice conferences. A key group within this emerging community of practice are early career academics who are required to overcome significant obstacles in the early stages of their academic career, from developing an independent research career, delivering high quality learning and teaching, continuing their own professional development, alongside wider academic service commitments. Institutional-level, but generally subject-agnostic, support for early career colleagues in the UK is supplemented by nationwide developmental sessions and initiatives such as journal clubs. This poster reports on a developing pilot scheme to support early career CS academics through cross-institutional mentoring from experienced academics, as well as buddying groups of similar career stage colleagues.

There exists a significant gap between the requirements specified within higher education qualifications and the requirements sought by employers. The former, commonly expressed in terms of learning outcomes, provide a measure of capability, of what skills have been learnt (an input measure); the latter, commonly expressed in terms of role descriptions, provide a measure of competency, of what a learner has become skilful in (an output measure). Accreditation traditionally provides a way of translating and embedding industry-relevant content into education programmes but current approaches make fully addressing this requirements gap, referred to here as the Capability-Competency Chasm, very difficult. This paper explores current efforts to address this global challenge, primarily through STEM examples that apply within the United Kingdom and European Union, before proposing a way of bridging this chasm through the use of a 21stCentury (C21) skills taxonomy. The concept of C21 Skills Hours as a new input measurement for learning within qualifications is introduced, and an illustrative example is presented to show the C21 skills taxonomy in action. The paper concludes with a discussion of how such a taxonomy can also be used to support a microcredentialing framework that aligns to existing competency frameworks, enabling formal, non-formal and informal learning to all be recognized. A C21 Skills taxonomy can therefore be used to bridge the gap between capability (input) and competency (output), providing a common language both for learning and demonstrating a skill. This approach has profound implications for addressing current and future skills gaps as well as for supporting a transition to more personalised learning within schools, colleges and universities and more lifelong learning both during and outside of employment.

The early career of a computer science (CS) academic in the UK is increasingly challenging in terms of balancing research aspirations, learning and teaching responsibilities, wider academic service commitments, alongside their own professional development. The development of an early-career CS academic is mediated in part by the strength of the community of practice with which they are able to access and engage. And not just ones that operate within their department or institution; but also communities of practice that exist at a national and international level, often through professional bodies, learned societies and research networks. This poster presents the emerging work-in-progress to address some of these social, cultural and structural challenges in developing a CS education community of practice in the UK. Building on recent work, we identify a number of specific actions and recommendations to supplement the current formal institutional requirements with enhanced national-level academic practice support and professional development, alongside local and regional professional mentoring.

In this paper, we present an investigation into the development of a framework for the automatic grading (marking) of student submitted course work. We discuss this framework, its structure and its subsystems. Our framework has been developed in the context of the student submission consisting of two components: a design (using the UML methodology) and source code (using the Java programming language). The focus of our framework is upon the consistency between the student code and design. We discuss its context and development and highlight how we can infer structure from the student submission and use this to inform the assessment process. We describe the approach we are currently undertaking to instantiate this framework and apply it to work submitted for assessment by undergraduate computing students.