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...analysis of the data identified five main themes. Students generally spoke about the module content in a positive way. But they highlighted that they felt that ethnic minorities were not included in the materials, or, when they were, it was their challenges (e.g. lower socioeconomic class) that was the focus, hence perpetuating stereotypes. Students expressed stress that...

...analysis and data analysis and interpretation. In embodying this critical consciousness, I recognise the power of research to both perpetuate and challenge existing marginalisations. The goal is to bridge the gap between scholarly discourse and the lived realities of marginalised groups, ensuring that research serves as a tool for empowerment and not exclusion. This...

...data analytic platforms. Data analysis Once you establish which data collection methods you’ll use, you need to specify how your data will be analysed. Make sure you don’t give the impression in your proposal that you’ll gather the data and think about it later! There are different methods for analysing quantitative and qualitative ......

...data analysis to tackle real-world challenges, structured debates on AI ethics or digital rights, and workshops or hackathons on topics like cybersecurity and data justice. For example, in projects like ‘Energy Savers’ (SDG 7) or ‘Eco-Phone’ (SDG 12), students explore the environmental and ethical costs of smartphones, examining production chains, AI, e-waste, and...