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  1. Oct 2025
    1. However, there are also concerns regarding the quality of AI-generated questions compared to those created by human examiners with years of experience and knowledge. AI algorithms may also generate questions that are too easy, too difficult, or not relevant to the course material. The lack of creativity in AI-generated questions can also result in exams that are less engaging for students.

      This paragraph discusses the potential drawbacks of using artificial intelligence (AI) to generate exams or assignments. It points out that AI generated questions lack quality and creativity. Due to the questions generated by AI they might be too easy, difficult or not at all engaging for learners. This raises concerns about AI's effectiveness and its assessments in learning outcomes.

    2. Finally, AI algorithms can play a crucial role in supporting reproducibility in scientific research. AI can be utilized to analyse and validate scientific data, helping to support the reproducibility of research. This can help to improve the overall quality of scientific publications and reduce the number of retractions due to errors or inaccuracies, thereby enhancing the credibility and reliability of scientific information

      This paragraph explains how artificial intelligence (AI) contributes to the reproducibility of scientific research. And it also highlights that AI algorithms can analyze and validate scientific data to ensure that research findings are accurate and reliable. Having improvements in data verification and having a reduction of errors can help AI increase the quality of scientific publications and help decrease the number of retractions.