On today’s HEPI blog, Adam Lindgreen, C. Anthony Di Benedetto, Roderick J. Brodie, and Michel van der Borgh explore how researchers can successfully navigate the challenges of cross-disciplinary research to address major societal issues. If you’ve ever wondered how experts from different fields can effectively collaborate despite differing terminologies, cultures, and incentives, this blog offers practical strategies and insights. You can read the blog here.
Below, Dave McCall and Zoë Allman discuss what AI means for those students seeking to undertake placements while they study.
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- Dave McCall is a Placement Tutor, De Montfort University (DMU), and Zoë Allman (@zoe_a) is Associate Dean (Academic) at DMU.
As higher education explores the impact of generative Artificial Intelligence (AI), colleagues from De Montfort University examine the use of AI in student placement applications.
Generative AI is transforming student placements. Year-long industry placements offer professional growth and employability, bridging academic learning and practical experience. Supported by universities, students are encouraged to maximise learning opportunities in the workplace and reflect on their experiences.
We increasingly find students using AI in placement applications, mirroring its role in their academic journey and in preparation for graduate employment. We consider how AI is used (and embedded) to improve the chances of securing a placement through searches, applications, and interview preparation, while also recognising the challenges this presents.
Placement Searching
AI algorithms shape how students search for placements. Platforms like LinkedIn and Glassdoor recommend opportunities tailored to users’ profiles and preferences, streamlining the process. However, this personalisation may also limit exploration, narrowing exposure to diverse job types and industries. The National Association of Colleges and Employers highlights how reliance on AI-generated job recommendations might lead students to miss opportunities, whilst the USA-based National Association of Colleges and Employers highlights how students might miss diverse opportunities by relying exclusively on AI-generated job recommendations.
Not Forgetting ChatGPT
Generative AI tools, such as ChatGPT, have become popular with students when developing search strategies, alongside drafting emails, generating lists of companies in niche fields, or refining search terms for specific industries. While useful, such tools demand a certain level of digital literacy to optimise outputs effectively. Research indicates AI’s effectiveness is limited by the quality of user prompts, underscoring the need for universities to provide AI literacy training to help students optimise their interactions with these tools while addressing the potential digital literacy skills gap. Targeting this developmental training in placement searching and application is critical for ensuring positive experiences on placement and future graduate outcomes.
AI Applications
Having been used in searches, AI is increasingly used as students develop their placement applications. Students employ generative AI to draft and tailor CVs and cover letters, quickly generating professional documents. Tools like Resumé Worded enable students to format and optimise applications for use in Applicant Tracking Systems. While efficient, over-reliance on AI risks producing applications lacking originality; a reliance on AI raises concerns about authenticity and self-reflection. AI use can lead to generic applications, potentially reducing a student’s ability to articulate their individualised experiences, values, and what they bring to the placement role.
Universities can address this by supporting students to understand how to balance AI-assisted optimisation with authentic self-expression. Workshops encouraging reflective practices help students integrate personality in applications, with feedback reinforcing human input.
Preparing for Interview
AI’s role in interview preparation is multifaceted, simulating interviews through generating questions and offering feedback. A student preparing for an engineering placement might use ChatGPT to generate technical and behavioural questions, refining responses through iterative feedback. AI-powered simulations offer ‘real-time’ feedback, enhancing confidence.
Beyond verbal preparation, AI tools like HireVue analyse tone, facial expressions, and word choice. While these technologies offer valuable insights to employers regarding applicants, they also introduce potential ethical concerns, including the possibility of bias in AI-driven evaluation. While providing valuable employer insights, these technologies raise ethical concerns, including AI-driven bias.
Levelling the Playing Field?
AI tools can help students practice and enhance their skills and experiences but also raise concerns regarding accessibility and equity. Access to advanced AI tools and the digital literacy required to use them effectively is not necessarily evenly distributed among students. This digital divide could exacerbate existing inequalities, particularly for students from underrepresented backgrounds. Universities play a vital role in educating students to understand the capabilities and limitations of AI tools, enabling them to use these technologies effectively and ethically.
Working with Employer Partners
Collaboration with industry partners remains essential. Understanding AI’s influence on recruitment strategies allows universities to align student support with industry expectations, preparing students for contemporary hiring processes.
AI is undeniably reshaping the employability landscape. However, its integration challenges traditional career development approaches, raising equity, ethics, and authenticity concerns. Universities must adapt by equipping students with skills such as effective prompt engineering to navigate AI-driven processes. Recent reports highlight the need for universities to prepare students for AI-driven assessments, combining technical proficiency with critical thinking and ethical awareness. Aligning employability programs with these insights enables students to harness AI’s full potential while maintaining human-centred career development.
As AI transforms placement applications, universities play a pivotal role in preparing students for this reality. By promoting AI literacy and reflective practices and addressing equity and ethics, universities can empower students to approach placement applications with confidence and integrity. AI should serve as an enhancement tool rather than a barrier. Supporting students in understanding and appropriately using AI tools best prepares them for achieving professional aspirations.