Pharmacy, Volume 10, Issue 1
2022 February - 34 articles
Cover Story: Predicting exam marks can significantly help educators to provide timely support to students. Using Artificial Intelligence (AI), a model with a correlation coefficient of 0.7 was generated that can predict a student's exam performance using their coursework marks and virtual learning environment engagement reports. Identifying students in need of support before failing an exam helps educators to provide differentiated tasks for their students, ensuring inclusivity, reduced attrition, and increased student satisfaction. This model can also be used by students to obtain feedback on their progression to decide if they need to adjust their learning strategies, hence promoting student autonomy. This model demonstrates how AI can be exploited to individualize the learning experience. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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