"Analysis of student essays using generative AI detection systems to identify GenAI users showed that students who use GenAI score significantly lower in exams – on average 6.7 out of 100 points lower – with the negative effect particularly large for students with high learning potential, according to researchers in Germany and Canada...
Our findings provide important empirical evidence for the ongoing debate on the integration of GenAI in higher education and underscore the necessity for educators, institutions, and policymakers to carefully consider its implications for student performance..."
If generative AI is saving academics time, what are they doing with it?
"Widespread use of generative AI tools in academia seems inevitable. This is one of the conclusions drawn from our recent study of how academics in the UK are using Large Language Models (LLMs). Through a survey of 284 UK academics we found that even those whose use of generative AI is sparse and/or tentative, anticipate the transformation of their professional lives through more efficient and economical ways of working.
At a time when academic success is determined by the speed and subsequent volume of productive output, generative AI seems to offer a way to do things more quickly. Its enthusiasts describe it as providing ‘faster ways to process data’ and in terms of how it ‘saves scientists time and money’. One respondent in our survey reported using LLMs to more than triple the number of research funding applications they had submitted within one year. Others spoke of how LLMs could be used to outsource up to 80% of their work. However, even if generative AI is increasing academics’ work-rate, it’s not clear whether its impact on workload and work quality will witness a commensurate uptick..."