The rapid advancement of generative AI tools such as ChatGPT and DeepSeek undeniably raises important questions about university education and assessment. However, the proposed solution of reverting to traditional, invigilated, pen-and-paper exams and placing the responsibility on students to use AI “judiciously and responsibly” fails to address the deeper, structural challenges at play. Instead ofContinueContinue reading “Learning and/with AI”
Tag Archives: teaching
E is for Errors
Here is a summary of S.P. Corder’s work on Learner Errors from the Edinburgh Course in Applied Linguistics Types of Errors Native speakers may produce errors (readily correctable) especially in conditions of stress, indecision and fatigue. It is logical to expect that non-native speakers may do the same. These are called ‘lapses’ and are ofContinueContinue reading “E is for Errors”